Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant

Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567

The Influence Curve and Its Role in Robust Estimation

Hampel, F. R. (1974) · Journal of the American Statistical Association · doi:10.1080/01621459.1974.10482962 · Cited by 2,847

Alternatives to the Median Absolute Deviation

Rousseeuw, P. J., & Croux, C. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476408 · Cited by 2,672

Methods for dealing with reaction time outliers.

Ratcliff, R. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.3.510 · Cited by 2,142

Alternatives to the Median Absolute Deviation

Rousseeuw, P. J., & Croux, C. (1993) · Journal of the American Statistical Association · doi:10.2307/2291267 · Cited by 1,489

Outliers detection and treatment: a review.

Cousineau, D., & Chartier, S. (2010) · International journal of psychological research · doi:10.21500/20112084.844 · Cited by 719

Handbook of Research Methods. in Social and Personality Psychology

Lai, H. L. T. (2000) · Cited by 629

Short Report: Reaction Time Analysis with Outlier Exclusion: Bias Varies with Sample Size

Miller, J. O. (1991) · The Quarterly Journal of Experimental Psychology Section A · doi:10.1080/14640749108400962 · Cited by 408

OUTLIER DETECTION AND TREATMENT IN I/O PSYCHOLOGY: A SURVEY OF RESEARCHER BELIEFS AND AN EMPIRICAL ILLUSTRATION

ORR, J. M., Sackett, P. R., & DuBois, C. L. Z. (1991) · Personnel Psychology · doi:10.1111/j.1744-6570.1991.tb02401.x · Cited by 183

An iterative procedure for robust circle fitting

Guo, J., & Yang, J. (2018) · Communications in Statistics - Simulation and Computation · doi:10.1080/03610918.2018.1425443 · Cited by 21

Comparative phylogeographic inference with genome‐wide data from aggregated population pairs

Xue, A. T., & Hickerson, M. J. (2020) · Evolution · doi:10.1111/evo.13945 · Cited by 22

Older workers and poor performance: Examining the association of age stereotypes with expected work performance quality

Petery, G. A., Wee, S., Dunlop, P. D., & Parker, S. K. (2020) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12309 · Cited by 25

Fate of antifungal drugs climbazole and fluconazole in constructed wetlands - Diastereoselective transformation indicates process conditions

Sochacki, A., Maršík, P., Chen, Z., Šíša, M., & Vymazal, J. (2020) · Chemical Engineering Journal · doi:10.1016/j.cej.2020.127783 · Cited by 19

Individual Chunking Ability Predicts Efficient or Shallow L2 Processing: Eye-Tracking Evidence From Multiword Units in Relative Clauses

Pulido, M. F. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.607621 · Cited by 21

Automated Disengagement Tracking Within an Intelligent Tutoring System

Su, C., Fang, Y., Shi, G., Sabatini, J., Greenberg, D., Frijters, J. C., & Graesser, A. C. (2021) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2020.595627 · Cited by 24

Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions

Ruprechter, T., Ribeiro, M. H., Santos, T., Lemmerich, F., Strohmaier, M., West, R., & Helić, D. (2021) · Scientific Reports · doi:10.1038/s41598-021-00789-3 · Cited by 21

Eucrite‐type achondrites: Petrology and oxygen isotope compositions†

Mittlefehldt, D. W., Greenwood, R. C., Berger, E. L., Le, L., Peng, Z. X., & Ross, D. K. (2021) · Meteoritics and Planetary Science · doi:10.1111/maps.13730 · Cited by 21

Decreased putamen activation in balancing goal-directed and habitual behavior in binge eating disorder

Hartogsveld, B., Quaedflieg, C. W. E. M., van Ruitenbeek, P., & Smeets, T. (2021) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2021.105596 · Cited by 21

Estimation of Lower Body Muscle Power from Vertical Jump in Youth

Mahar, M. T., Welk, G. J., Janz, K. F., Laurson, K. R., Zhu, W., & Baptista, F. (2022) · Measurement in Physical Education and Exercise Science · doi:10.1080/1091367x.2022.2041420 · Cited by 21

Bottom-Up and Cognitive Top-Down Emotion Regulation: Experiential Emotion Regulation and Cognitive Reappraisal on Stress Relief and Follow-Up Sleep Physiology

Wang, Y., Vlemincx, E., Vantieghem, I., Dhar, M., Dong, D., & Vandekerckhove, M. M. P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19137621 · Cited by 21

The other blue: Role of sky in the perception of nature

Sztuka, I. M., Örken, A., Sudimac, S., & Kühn, S. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.932507 · Cited by 27

Associations between abdominal adipose tissue, reproductive span, and brain characteristics in post-menopausal women

Schindler, L. S., Subramaniapillai, S., Barth, C., van der Meer, D., Pedersen, M. L., Kaufmann, T., Maximov, I. I., Linge, J., Leinhard, O. D., Beck, D., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.103239 · Cited by 23

Combining statistical methods for detecting potential outliers in groundwater quality time series

Berendrecht, W. L., van Vliet, M., & Griffioen, J. (2022) · Environmental Monitoring and Assessment · doi:10.1007/s10661-022-10661-0 · Cited by 21

SMEs and dividend payout policy in case of poor legal environment

Falavigna, G., & Ippoliti, R. (2022) · Journal of Small Business Management · doi:10.1080/00472778.2022.2144634 · Cited by 21

Inhibition of Motor Planning and Response Selection after Anterior Cruciate Ligament Reconstruction

Sherman, D. A., Baumeister, J., STOCK, M. S., Murray, A. M., Bazett-Jones, D. M., & Norte, G. E. (2022) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000003072 · Cited by 21

A robust and fast CFAR ship detector based on median absolute deviation thresholding for SAR imagery in heterogeneous log-normal sea clutter

Madjidi, H., Laroussi, T., & Farah, F. (2023) · Signal Image and Video Processing · doi:10.1007/s11760-023-02513-2 · Cited by 21

What filter passband should be applied to the ballistocardiogram?

Yao, Y., Shandhi, M. M. H., Hahn, J., Inan, O. T., Mukkamala, R., & Xu, L. (2023) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2023.104909 · Cited by 21

The Effects of Open-Ended Probes on Closed Survey Questions in Web Surveys

Hadler, P. (2023) · Sociological Methods & Research · doi:10.1177/00491241231176846 · Cited by 21

Aesthetic and physiological effects of naturalistic multimodal music listening

Czepiel, A. M., Fink, L., Seibert, C., Scharinger, M., & Kotz, S. A. (2023) · Cognition · doi:10.1016/j.cognition.2023.105537 · Cited by 24

Federated IoT Interaction Vulnerability Analysis

Wang, G., Guo, H., Li, A., Liu, X., & Yan, Q. (2023) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde55515.2023.00120 · Cited by 21

FedOps: A Platform of Federated Learning Operations With Heterogeneity Management

Moon, J., Yang, S. H., & Lee, K. Y. (2024) · IEEE Access · doi:10.1109/access.2024.3349691 · Cited by 21

An empirical study on the state-of-the-art methods for requirement-to-code traceability link recovery

Wang, B., Zou, Z., Wan, H., Li, Y., Deng, Y., & Li, X. (2024) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2024.102118 · Cited by 21

Sleep restriction and delayed sleep associate with psychological health and biomarkers of stress and inflammation in women

Tartar, J. L., Fins, A. I., Lopez, A., Sierra, L. A., Silverman, S. A., Thomas, S. V., & Craddock, T. J. A. (2015) · Sleep Health · doi:10.1016/j.sleh.2015.09.007 · Cited by 22

Modeling of membrane fouling in a submerged membrane reactor using support vector regression

Aya, S. A., Acar, T. O., & Tüfekçi, N. (2016) · Desalination and Water Treatment · doi:10.1080/19443994.2016.1140080 · Cited by 23

Modelling of rain decay parameter for attenuation estimation at a tropical location

Rakshit, G., Adhikari, A., & Maitra, A. (2017) · Advances in Space Research · doi:10.1016/j.asr.2017.03.028 · Cited by 21

Item strength affects working memory capacity

Shen, Z., Popov, V., Delahay, A. B., & Reder, L. M. (2017) · Memory & Cognition · doi:10.3758/s13421-017-0758-4 · Cited by 21

Effects of non-symbolic arithmetic training on symbolic arithmetic and the approximate number system

Au, J., Jaeggi, S. M., & Buschkuehl, M. (2018) · Acta Psychologica · doi:10.1016/j.actpsy.2018.01.005 · Cited by 24

Recording Heart Rate Variability of Dairy Cows to the Cloud—Why Smartphones Provide Smart Solutions

Wierig, M., Mandtler, L. P., Rottmann, P., Stroh, V., Müller, U., Büscher, W., & Plümer, L. (2018) · Sensors · doi:10.3390/s18082541 · Cited by 21

A LOF-Based Method for Abnormal Segment Detection in Machinery Condition Monitoring

Xu, X., Lei, Y., & Zhou, X. (2018) · Prognostics and System Health Management Conference · doi:10.1109/phm-chongqing.2018.00027 · Cited by 21

A change-point analysis of food price shocks

Malesios, C., Jones, N., & Jones, A. W. (2019) · Climate Risk Management · doi:10.1016/j.crm.2019.100208 · Cited by 21

Auto-3P: An autonomous VNF performance prediction & placement framework based on machine learning

Bunyakitanon, M., Silva, A. P., Vasilakos, X., Nejabati, R., & Simeonidou, D. E. (2020) · Computer Networks · doi:10.1016/j.comnet.2020.107433 · Cited by 21

Comparison of Static and Dynamic Assays When Quantifying Thermal Plasticity of Drosophilids

Bak, C. W., Bahrndorff, S., Noer, N. K., Jørgensen, L. B., Overgaard, J., & Kristensen, T. N. (2020) · Insects · doi:10.3390/insects11080537 · Cited by 24

Effects of Long-Term Meditation Practices on Sensorimotor Rhythm-Based Brain-Computer Interface Learning

Jiang, X., Lopez, E., Stieger, J., Greco, C. M., & He, B. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.584971 · Cited by 20

Social and nonsocial stimuli alter the performance of bonobos during a pictorial emotional Stroop task

Laméris, D. W., Verspeek, J., Eens, M., & Stevens, J. M. G. (2022) · American Journal of Primatology · doi:10.1002/ajp.23356 · Cited by 21

Introspection of subjective feelings is sensitive and specific.

Questienne, L., van Dijck, J., & Gevers, W. (2017) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000437 · Cited by 22

Noise increases listening effort in normal-hearing young adults, regardless of working memory capacity

Brown, V. A., & Strand, J. F. (2018) · Language, Cognition and Neuroscience · doi:10.1080/23273798.2018.1562084 · Cited by 16

Lipid Ratios for Diagnosis and Prognosis of Pulmonary Hypertension

Bordag, N., Nagy, B. M., Zügner, E., Ludwig, H., Foris, V., Nagaraj, C., Biasin, V., Kovács, G., Kneidinger, N., Bodenhofer, U., et al. (2025) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202407-1345oc · Cited by 21

Unique Neighborhood Set Parameter Independent Density-Based Clustering With Outlier Detection

Rahman, A., Ang, L.-M., & Seng, K. P. (2018) · IEEE Access · doi:10.1109/access.2018.2857834 · Cited by 20

Effects of hypoxia on aerobic metabolism and active electrosensory acquisition in the African weakly electric fish Marcusenius victoriae

Moulton, T., Chapman, L. J., & Krahe, R. (2019) · Journal of Fish Biology · doi:10.1111/jfb.14234 · Cited by 20

DCE-MRI assessment of response to neoadjuvant SABR in early stage breast cancer: Comparisons of single versus three fraction schemes and two different imaging time delays post-SABR

Mouawad, M., Biernaski, H., Brackstone, M., Lock, M. I., Yaremko, B., Shmuilovich, O., Kornecki, A., Nachum, I. B., Muscedere, G., Lynn, K. S., et al. (2019) · Clinical and Translational Radiation Oncology · doi:10.1016/j.ctro.2019.12.004 · Cited by 20

Force enhancement in the human vastus lateralis is muscle-length-dependent following stretch but not during stretch

Bakenecker, P., Raiteri, B. J., & Hahn, D. (2020) · European Journal of Applied Physiology · doi:10.1007/s00421-020-04488-1 · Cited by 20

Characterisation of microvessel blood velocity and segment length in the brain using multi-diffusion-time diffusion-weighted MRI

Scott, L. A., Dickie, B., Rawson, S. D., Coutts, G., Burnett, T. L., Allan, S. M., Parker, G. J. M., & Parkes, L. M. (2020) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20978523 · Cited by 19

Mutant Nmnat1 leads to a retina-specific decrease of NAD+ accompanied by increased poly(ADP-ribose) in a mouse model of NMNAT1-associated retinal degeneration

Greenwald, S. H., Brown, E. E., Scandura, M. J., Hennessey, E., Farmer, R., Du, J., Wang, Y., & Pierce, E. A. (2021) · Human Molecular Genetics · doi:10.1093/hmg/ddab070 · Cited by 20

VADAF: Visualization for Abnormal Client Detection and Analysis in Federated Learning

Meng, L., Wei, Y., Pan, R., Zhou, S., Zhang, J., & Chen, W. (2021) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3426866 · Cited by 25

Automated Storey Separation and Door and Window Extraction for Building Models from Complete Laser Scans

Pexman, K., Lichti, D. D., & Dawson, P. (2021) · Remote Sensing · doi:10.3390/rs13173384 · Cited by 20

The recommendation for learners to be provided with control over their feedback schedule is questioned in a self-controlled learning paradigm

Yantha, Z. D., McKay, B., & Ste‐Marie, D. M. (2021) · Journal of Sports Sciences · doi:10.1080/02640414.2021.2015945 · Cited by 20

Residual force enhancement is affected more by quadriceps muscle length than stretch amplitude

Bakenecker, P., Weingarten, T., Hahn, D., & Raiteri, B. J. (2022) · eLife · doi:10.7554/elife.77553 · Cited by 20

A Robust Method for Detecting Item Misfit in Large-Scale Assessments

von Davier, M., & Bezirhan, U. (2022) · Educational and Psychological Measurement · doi:10.1177/00131644221105819 · Cited by 20

The modulation of acute stress on model-free and model-based reinforcement learning in gambling disorder

Wyckmans, F., Banerjee, N., Saeremans, M., Otto, R., Kornreich, C., Vanderijst, L., Gruson, D., Carbone, V., Bechara, A., Buchanan, T. W., et al. (2022) · Journal of Behavioral Addictions · doi:10.1556/2006.2022.00059 · Cited by 23

Identification of smoke and sulfuric acid aerosol in SAGE III/ISS extinction spectra

Knepp, T. N. N., Thomason, L. W., Kovilakam, M., Tackett, J. L., Kar, J., Damadeo, R., & Flittner, D. E. (2022) · Atmospheric measurement techniques · doi:10.5194/amt-15-5235-2022 · Cited by 20

Paying Twice for Aesthetic Customization? The Negative Effect of Uniqueness on a Product's Resale Value

Fuchs, M., & Schreier, M. (2022) · Journal of Marketing Research · doi:10.1177/00222437221128576 · Cited by 20

The Surface Water Chemistry (SWatCh) database: a standardized global database of water chemistry to facilitate large-sample hydrological research

Rotteveel, L., Heubach, F., & Sterling, S. (2022) · Earth system science data · doi:10.5194/essd-14-4667-2022 · Cited by 20

Height loss as an indicator of ageing through its association with frailty and sarcopenia: An observational cohort study

Ji, S., Lee, E., Kim, B., Baek, J. Y., Yi, Y., Jang, I., & Jung, H. (2022) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2022.104916 · Cited by 20

ARTP: Anomaly based real time prevention of Distributed Denial of Service attacks on the web using machine learning approach

Kishore, P. K., Ramamoorthy, S., & Rajavarman, V. N. (2022) · International Journal of Intelligent Networks · doi:10.1016/j.ijin.2022.12.001 · Cited by 20

How preference change induced by mere action versus inaction persists over time

Chen, Z., Holland, R. W., Quandt, J., Dijksterhuis, A., & Veling, H. (2021) · Judgment and Decision Making · doi:10.1017/s1930297500008366 · Cited by 20

Acute Treatment with the M-Channel (Kv7, KCNQ) Opener Retigabine Reduces the Long-Term Effects of Repetitive Blast Traumatic Brain Injuries

Vigil, F. A., Belchior, H., Bugay, V., Bazaldua, I. I., Stoja, A. P., Dantas, D. C., Chun, S. H., Farmer, A., Bozdemir, E., Holstein, D. M., et al. (2023) · Neurotherapeutics · doi:10.1007/s13311-023-01361-9 · Cited by 19

Method-comparison study between a watch-like sensor and a cuff-based device for 24-h ambulatory blood pressure monitoring

Proença, M., Ambuehl, J., Bonnier, G., Meister, T. A., Valentin, J., Soria, R., Ferrario, D., Lemay, M., & Rexhaj, E. (2023) · Scientific Reports · doi:10.1038/s41598-023-33205-z · Cited by 20

Comprehensive ECG reference intervals in C57BL/6N substrains provide a generalizable guide for cardiac electrophysiology studies in mice

Oestereicher, M. A., Wotton, J. M., Ayabe, S., About, G. B., Cheng, T. K., Choi, J., Clary, D. A., Dew, E. M., Fertak, L. E., Guimond, A., et al. (2023) · Mammalian Genome · doi:10.1007/s00335-023-09995-y · Cited by 19

A de novo missense mutation in synaptotagmin-1 associated with neurodevelopmental disorder desynchronizes neurotransmitter release

van Boven, M. A., Mestroni, M., Zwijnenburg, P. J. G., Verhage, M., & Cornelisse, L. N. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02444-5 · Cited by 19

Comparison between lower-cost and conventional eddy covariance setups for CO2 and evapotranspiration measurements above monocropping and agroforestry systems

Callejas-Rodelas, J. Á., Knohl, A., van Ramshorst, J., Mammarella, I., & Markwitz, C. (2024) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2024.110086 · Cited by 20

Differences in baseline cognitive performance between participants with early‐onset and late‐onset Alzheimer's disease: Comparison of LEADS and ADNI

Hammers, D. B., Eloyan, A., Thangarajah, M., Taurone, A., Beckett, L. A., Gao, S., Polsinelli, A. J., Kirby, K., Dage, J. L., Nudelman, K. N. H., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14218 · Cited by 22

The effect of short-term intermittent hypoxic exposure on heart rate variability in a sedentary population

Lizamore, C. A., Kathiravel, Y., Elliott, J. M., Hellemans, J., & Hamlin, M. J. (2016) · Acta Physiologica Hungarica · doi:10.1556/036.103.2016.1.7 · Cited by 20

Effects of the cannabinoid CB 1 agonist ACEA on salicylate ototoxicity, hyperacusis and tinnitus in guinea pigs

Berger, J. I., Coomber, B., Hill, S., Alexander, S. P. H., Owen, W., Palmer, A. R., & Wallace, M. N. (2017) · Hearing Research · doi:10.1016/j.heares.2017.10.012 · Cited by 20

Probing the temporal dynamics of the exploration–exploitation dilemma of eye movements

Ehinger, B., Kaufhold, L., & Peter König, B. (2018) · Journal of Vision · doi:10.1167/18.3.6 · Cited by 20

Adult age differences in the benefit of syntactic and semantic constraints for sentence processing.

Beese, C., Werkle‐Bergner, M., Lindenberger, U., Friederici, A. D., & Meyer, L. (2018) · Psychology and Aging · doi:10.1037/pag0000300 · Cited by 20

Cross-modal interference-control is reduced in childhood but maintained in aging: A cohort study of stimulus- and response-interference in cross-modal and unimodal Stroop tasks.

Hirst, R. J., Kicks, E. C., Allen, H. A., & Cragg, L. (2019) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000608 · Cited by 20

RSE-box: An analysis and modelling package to study response times to multiple signals

Otto, T. U. (2019) · The Quantitative Methods for Psychology · doi:10.20982/tqmp.15.2.p112 · Cited by 21

Phytoseiid predatory mites can disperse entomopathogenic fungi to prey patches

Lin, G., Guertin, C., Paolo, S.-A. D., Todorova, S., & Jacques Brodeur, B. (2019) · Scientific Reports · doi:10.1038/s41598-019-55499-8 · Cited by 20

Effects of hormonal treatment before water warming on synchronisation of spawning time, oocyte size, and egg quality in pikeperch (Sander lucioperca)

Ljubobratović, U., Kwiatkowski, M., Tóth, F., & Demény, F. (2021) · Animal Reproduction Science · doi:10.1016/j.anireprosci.2021.106712 · Cited by 20

The Effect of Pulse Polarity on Neural Response of the Electrically Stimulated Cochlear Nerve in Children With Cochlear Nerve Deficiency and Children With Normal-Sized Cochlear Nerves

Xu, L., Skidmore, J., Luo, J., Chao, X., Wang, R., Wang, H., & He, S. (2020) · Ear and Hearing · doi:10.1097/aud.0000000000000854 · Cited by 20

Impact of selected composition and ripening conditions on CO2 solubility in semi-hard cheese

Acerbi, F., Guillard, V., Guillaume, C., & Gontard, N. (2015) · Food Chemistry · doi:10.1016/j.foodchem.2015.07.049 · Cited by 20

Gait variability and symmetry in world-class senior and junior race walkers

Tucker, C. B., & Hanley, B. (2016) · Journal of Sports Sciences · doi:10.1080/02640414.2016.1235793 · Cited by 20

Classification of the Relationship between Household Welfare and Ecosystem Reliance in the Miyun Reservoir Watershed, China

Wang, F., Zheng, H., Wang, X., Peng, W., Ma, D., & Li, C. (2017) · Sustainability · doi:10.3390/su9122290 · Cited by 20

Watch out for this commit! A study of influential software changes

Li, D., Li, L., Kim, D., Bissyandé, T. F., Lo, D., & Traon, Y. L. (2019) · Journal of Software Evolution and Process · doi:10.1002/smr.2181 · Cited by 20

Quantifying flight aptitude variation in wild Anopheles gambiae in order to identify long-distance migrants

Faiman, R., Yaro, A. S., Diallo, M., Dao, A., Samaké, D., Sanogo, Z. L., Sullivan, M., Krishna, A., Krajacich, B. J., & Lehmann, T. (2020) · Malaria Journal · doi:10.1186/s12936-020-03333-2 · Cited by 20

More than noise: Context-dependant luminance contrast discrimination in a coral reef fish ( Rhinecanthus aculeatus )

van den Berg, C. P., Hollenkamp, M., Mitchell, L. J., Watson, E. J., Green, N. F., Marshall, N. J., & Cheney, K. L. (2020) · Journal of Experimental Biology · doi:10.1242/jeb.232090 · Cited by 20

Alpha-synuclein inclusion responsive microglia are resistant to CSF1R inhibition

Stoll, A. C., Kemp, C. J., Patterson, J. R., Kubik, M., Kuhn, N. C., Benskey, M. J., Duffy, M. F., Luk, K. C., & Sortwell, C. E. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03108-5 · Cited by 23

Predicting surface roughness in machining aluminum alloys taking into account material properties

Nguyen, V.-H., & Le, T.-T. (2024) · International Journal of Computer Integrated Manufacturing · doi:10.1080/0951192x.2024.2372252 · Cited by 19

Total organic carbon quantification in soils and sediments: Performance test of a modified sample preparation method

Nykamp, M., Becker, F., & Hoelzmann, P. (2024) · MethodsX · doi:10.1016/j.mex.2024.102934 · Cited by 19

Polarimetric SAR decomposition parameter subset selection and their optimal dynamic range evaluation for urban area classification using Random Forest

Hariharan, S., Tirodkar, S., & Bhattacharya, A. (2015) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2015.08.007 · Cited by 19

Looking into the Black Box: Using Gaze and Pupillometric Data to Probe How Cognitive Load Changes with Mental Tasks

Karch, J. M., Valles, J. C. G., & Sevian, H. (2019) · Journal of Chemical Education · doi:10.1021/acs.jchemed.9b00014 · Cited by 20

Radiation Use Efficiency of Forage Resources: A Meta‐Analysis

Druille, M., Oyarzábal, M., & Oesterheld, M. (2019) · Agronomy Journal · doi:10.2134/agronj2018.10.0645 · Cited by 19

Periodization of Plyometrics: Is There an Optimal Overload Principle?

Lievens, M., Bourgois, J., & Boone, J. (2019) · The Journal of Strength and Conditioning Research · doi:10.1519/jsc.0000000000003231 · Cited by 19

Geodetic Seafloor Positioning Using an Unmanned Surface Vehicle—Contribution of Direction-of-Arrival Observations

Sakic, P., Chupin, C., Ballu, V., Coulombier, T., Morvan, P.-Y., Urvoas, P., Beauverger, M., & Royer, J. (2021) · Frontiers in Earth Science · doi:10.3389/feart.2021.636156 · Cited by 19

Polarimetric Observations and Simulations of Sublimating Snow: Implications for Nowcasting

Carlin, J. T., Reeves, H. D., & Ryzhkov, A. V. (2021) · Journal of Applied Meteorology and Climatology · doi:10.1175/jamc-d-21-0038.1 · Cited by 21

Spectral Temporal Information for Missing Data Reconstruction (STIMDR) of Landsat Reflectance Time Series

Tang, Z., Amatulli, G., Pellikka, P., & Heiskanen, J. (2021) · Remote Sensing · doi:10.3390/rs14010172 · Cited by 19

Framing cognitive offloading in terms of gains or losses: achieving a more optimal use of reminders

Fröscher, L., Friedrich, A.-K., Berentelg, M., Widmer, C. K., Gilbert, S. J., & Papenmeier, F. (2022) · Cognitive Research Principles and Implications · doi:10.1186/s41235-022-00416-3 · Cited by 22

Electrophysiological measures of conflict and reward processing are associated with decisions to engage in physical effort

Umemoto, A., Lin, H., & Holroyd, C. B. (2022) · Psychophysiology · doi:10.1111/psyp.14176 · Cited by 23

A Novel Hierarchical Extreme Machine-Learning-Based Approach for Linear Attenuation Coefficient Forecasting

Varone, G., Ieracitano, C., Çiftçioğlu, A. Ö., Hussain, T., Gogate, M., Dashtipour, K. K., Al-Tamimi, B. N., Almoamari, H., Akkurt, İ., & Hussain, A. (2023) · Entropy · doi:10.3390/e25020253 · Cited by 19

Pupil dilation as cognitive load measure in instructional videos on complex chemical representations

Rodemer, M., Karch, J. M., & Bernholt, S. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1062053 · Cited by 31

Dynamic indirect reciprocity: When is indirect reciprocity bounded by group membership?

Imada, H., Romano, A., & Mifune, N. (2023) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2023.05.002 · Cited by 22

A Machine-Learning Approach to Predicting Daily Wildfire Expansion Rate

Shmuel, A., & Heifetz, E. (2023) · Fire · doi:10.3390/fire6080319 · Cited by 20

PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning

Guo, J., Li, A., Wang, L., & Liu, C. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00433 · Cited by 33

DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models

Zhou, J., Lv, P., Lan, Y., Meng, G., Chen, K., & Ma, H. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v38i19.30186 · Cited by 21

STATISTICAL TIME-RESOLVED SPECTROSCOPY: A HIGHER FRACTION OF SHORT-PERIOD BINARIES FOR METAL-RICH F-TYPE DWARFS IN SDSS

Hettinger, T., Badenes, C., Strader, J., Bickerton, S. J., & Beers, T. C. (2015) · The Astrophysical Journal Letters · doi:10.1088/2041-8205/806/1/l2 · Cited by 19

Berry Phenolic Compounds Increase Expression of Hepatocyte Nuclear Factor-1α (HNF-1α) in Caco-2 and Normal Colon Cells Due to High Affinities with Transcription and Dimerization Domains of HNF-1α

Hernandez, L. M. R., Fan, J., Johnson, M. H., & de Mejı́a, E. G. (2015) · PLoS ONE · doi:10.1371/journal.pone.0138768 · Cited by 19

Risk Factors for Sexual Offending in Men Working With Children: A Community-Based Survey

Turner, D., Hoyer, J., Schmidt, A. F., Klein, V., & Briken, P. (2016) · Archives of Sexual Behavior · doi:10.1007/s10508-016-0746-y · Cited by 20

Initial Mainstream Cultural Orientations Predict Early Social Participation in the Mainstream Cultural Group

Doucerain, M. M., Deschênes, S. S., Gouin, J., Amiot, C. E., & Ryder, A. G. (2016) · Personality and Social Psychology Bulletin · doi:10.1177/0146167216679642 · Cited by 19

Convolutional Neural Networks for Automated Fetal Cardiac Assessment using 4D B-Mode Ultrasound

Philip, M. E., Sowmya, A., Avnet, H., Ferreira, A., Stevenson, G., & Welsh, A. (2019) · 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019) · doi:10.1109/isbi.2019.8759377 · Cited by 18

Data science: Use median absolute deviation instead of z-score to detect outliers

Lin, H. (2019)

Detection of outliersPreprint

Velarde, S. A. (2026) · OSF Preprints (OSF Preprints)

How not to MISS an outlier: comparing three classic univariate methods and introducing a new one, the MAD–IQR–SD Simultaneous (MISS).Preprint

Pech, G. P., Caspar, É. A., Amerio, P., Cleeremans, A., Leys, C., Leys, C., & Vaccaro, N. (2026) · doi:10.31234/osf.io/2r9yw_v1

Robustness of sample mean and sample median under restrictions on outliers

Zielinski, R. J. (1987) · Applicationes Mathematicae · doi:10.4064/am-19-2-239-240 · Cited by 6

Outlier Tests in Sample Surveys

Namkyung, P., & Lee, J. S. (2000) · Communications for Statistical Applications and Methods