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Adherence to Antiseizure vs Other Medications Among US Medicare Beneficiaries With and Without Epilepsy

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Slow-Onset Inhibition of Mycobacterium tuberculosis InhA: Revealing Molecular Determinants of Residence Time by MD Simulations

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Modelling the impact of co-circulating low pathogenic avian influenza viruses on epidemics of highly pathogenic avian influenza in poultry

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Integrated functional and mass spectrometry-based flow cytometric phenotyping to describe the immune microenvironment in acute myeloid leukemia

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Use of mobile phone data for analysis of number of train travellers

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AdaBoost Ensemble Correction Models for TDDFT Calculated Absorption Energies

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Uncertainty Quantification in Sunspot Counts

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Do the stars align? Multidimensional analysis of Android's layered architecture

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Comparing the dietary niche overlap and ecomorphological differences between invasive Hemidactylus mabouia geckos and a native gecko competitor

Lamb, A. D., Lippi, C. A., Watkins‐Colwell, G. J., Jones, A., Warren, D. L., Iglesias, T. L., Brandley, M. C., Neagle, C., & Dornburg, A. (2021) · Ecology and Evolution · doi:10.1002/ece3.8401 · Cited by 16

Ceratium balechii sp. nov. (Dinophyceae: Gonyaulacales) from the Mexican Pacific

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Assessing the coefficient of variations of chemical data using bootstrap method

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Getting the most from your curves: Exploring and reporting data using informative graphical techniques

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Coulomb Explosion Imaging of Complex Molecules Using Highly Charged Ions

Yuan, H., Gao, Y., Yang, B., Gu, S., Lin, H., Guo, D., Liu, J., Zhang, S., Ma, X., & Xu, S. (2024) · Physical Review Letters · doi:10.1103/physrevlett.133.193002 · Cited by 15

Crossing Technological Boundaries: Brokerage and the Emergence of Innovation Networks

Brändle, L., Berger, E. S. C., & Howard, M. D. (2024) · Academy of Management Journal · doi:10.5465/amj.2023.0439 · Cited by 15

Transformer-Based Fast Mole Fraction of CO 2 Retrievals from Satellite-Measured Spectra

Chen, W., Ren, T., Zhao, C., Wen, Y., Gu, Y., Zhou, M., & Wang, P. (2025) · Journal of Remote Sensing · doi:10.34133/remotesensing.0470 · Cited by 17

Gender, Self-Efficacy, and Academic Performance: Evidence in Business Education Program

Moraga, A., Salvo-Garrido, S. I., & Ortiz-Cea, V. (2025) · Behavioral Sciences · doi:10.3390/bs15050563 · Cited by 30

Forecasting maximal and minimal air temperatures using explainable machine learning: Shapley additive explanation versus local interpretable model-agnostic explanations

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Better Autologistic Regression

Wolters, M. A. (2017) · Frontiers in Applied Mathematics and Statistics · doi:10.3389/fams.2017.00024 · Cited by 15

Interaction networks between spittlebugs and vegetation types in and around olive and clementine groves of Corsica; implications for the spread of Xylella fastidiosa

Mesmin, X., Chartois, M., Borgomano, S., Rasplus, J., Rossi, J., & Cruaud, A. (2022) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2022.107979 · Cited by 15

The duration and severity of the allergenic pollen season in Istanbul, and the role of meteorological factors

Zemmer, F., Dahl, Å. E., & Galán, C. (2022) · Aerobiologia · doi:10.1007/s10453-022-09742-x · Cited by 15

This is FAST: multivariate Full-permutAtion based Stochastic foresT method—improving the retrieval of fine-mode aerosol microphysical properties with multi-wavelength lidar

Wang, N., Xiao, D., Veselovskii, I. A., Wang, Y., Russell, L. M., Zhao, C., Guo, J., Li, C., Groß, S., Liu, X., et al. (2022) · Remote Sensing of Environment · doi:10.1016/j.rse.2022.113226 · Cited by 15

Assessing the drought effect on tree rings' width and xylem traits plasticity in Symplocos coccinea and S. speciosa: two rare and endemic Neotropical montane oak forest trees from eastern Mexico

Rodríguez‐Ramírez, E. C., Ruiz-Santiago, D., Requena‐Rojas, E. J., Longhi-Santos, T., Islas, A. S., & Luna‐Vega, I. (2022) · Trees · doi:10.1007/s00468-022-02371-4 · Cited by 15

The functional logic of odor information processing in the Drosophila antennal lobe

Lazar, A. A., Liu, T., & Yeh, C.-H. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011043 · Cited by 13

Inaccuracies of deterministic finite-element models of human middle ear revealed by stochastic modelling

Ebrahimian, A., Mohammadi, H., Rosowski, J. J., Cheng, J. T., & Maftoon, N. (2023) · Scientific Reports · doi:10.1038/s41598-023-34018-w · Cited by 15

From Proximity to Quality: The Capitalization of Public Facilities into Housing Prices

Tong, D., Shen, Y., Wang, X., Sun, Y., MacLachlan, I. R., & Li, X. (2023) · Annals of the American Association of Geographers · doi:10.1080/24694452.2023.2227683 · Cited by 15

Addressing Ergonomic Challenges in Agriculture through AI-Enabled Posture Classification

Kapse, S., Wu, R., & Thamsuwan, O. (2024) · Applied Sciences · doi:10.3390/app14020525 · Cited by 17

Out-of-Distributional Risk Bounds for Neural Operators with Applications to Thehelmholtz Equation

Benitez, J. A. L., Furuya, T., Faucher, F., Kratsios, A., Tricoche, X., & de Hoop, M. V. (2023) · Journal of Computational Physics · doi:10.1016/j.jcp.2024.113168 · Cited by 38

TRACER Perspectives on Gulf-Breeze and Bay-Breeze Circulations and Coastal Convection

Wang, D., Melvin, E. C., Smith, N., Jensen, M. P., Gupta, S., Abdullah-Smoot, A., Pszeniczny, N., & Hahn, T. (2024) · Monthly Weather Review · doi:10.1175/mwr-d-23-0292.1 · Cited by 15

Multiobjective evolutionary optimization in antibody purification process design

Allmendinger, R., Simaria, A. S., & Farid, S. S. (2014) · Biochemical Engineering Journal · doi:10.1016/j.bej.2014.08.016 · Cited by 15

Sensitivity analysis of observational nudging methodology to reduce error in wind resource assessment (WRA) in the North Sea

Mylonas, M. P., Barbouchi, S., Herrmann, H., & Nastos, P. T. (2017) · Renewable Energy · doi:10.1016/j.renene.2017.12.088 · Cited by 15

Gain A New Perspective: Towards Exploring Multi-View Alignment in Mixed Reality

Gomez, A. M., Fotouhi, J., Eck, U., & Navab, N. (2020) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar50242.2020.00044 · Cited by 15

Two brains, one target: Design of a multi-level information fusion model based on dual-subject RSVP

Zhang, H., Zhu, L., Xu, S., Cao, J., & Kong, W. (2021) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2021.109346 · Cited by 15

Predicting Perceptual Transparency of Head-Worn Devices

Lladó, P., McKenzie, T. L., Meyer‐Kahlen, N., & Schlecht, S. J. (2022) · Journal of the Audio Engineering Society · doi:10.17743/jaes.2022.0024 · Cited by 15

Depicting past stress history at passive margins: A combination of calcite twinning and stylolite roughness paleopiezometry in supra-salt Sendji deep carbonates, Lower Congo Basin, west Africa

Zeboudj, A., Bah, B., Olivier Lacombe, F., Beaudoin, N. E., Gout, C., Godeau, N., Girard, J., & Deschamps, P. (2023) · Marine and Petroleum Geology · doi:10.1016/j.marpetgeo.2023.106219 · Cited by 15

A Tool Set for the Genome-Wide Analysis ofNeurospora crassaby RT-PCR

Hurley, J., Dasgupta, A., Andrews, P. C., Crowell, A. M., Ringelberg, C. S., Loros, J., & Dunlap, J. (2015) · G3 Genes Genomes Genetics · doi:10.1534/g3.115.019141 · Cited by 15

Do the stars align?: multidimensional analysis of Android's layered architecture

Guana, V., Rocha, F. G., Hindle, A., & Stroulia, E. (2012) · Mining Software Repositories · doi:10.5555/2664446.2664465 · Cited by 15

Modeling Frequency and Severity of Claims with the Zero-Inflated Generalized Cluster-Weighted Models

Počuča, N., Jevtić, P., McNicholas, P. D., & Miljkovic, T. (2018) · Insurance Mathematics and Economics · doi:10.1016/j.insmatheco.2020.06.004 · Cited by 15

Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties

Chen, H., Soni, U., Lu, Y., Huroyan, V., Maciejewski, R., & Kobourov, S. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2946558 · Cited by 15

Early Warning Signals of Financial Crises with Multi-Scale Quantile Regressions of Log-Periodic Power Law SingularitiesPreprint

Qun, Z., Zhang, Q., & Sornette, D. (2015) · SSRN Electronic Journal · doi:10.2139/ssrn.2674128 · Cited by 15

Evaluating the potential for near-shore bathymetry on the Majuro Atoll, Republic of the Marshall Islands, using Landsat 8 and WorldView-3 imagery

Poppenga, S. K., Pălășeanu-Lovejoy, M., Gesch, D. B., Danielson, J. J., & Tyler, D. J. (2018) · Scientific investigations report · doi:10.3133/sir20185024 · Cited by 15

Machine-learning correction to density-functional crystal structure optimization

Hussein, R., Schmidt, J., Barros, T., Marques, M. A. L., & Botti, S. (2022) · MRS Bulletin · doi:10.1557/s43577-022-00310-9 · Cited by 15

Panoramic photoacoustic computed tomography with learning-based classification enhances breast lesion characterization

Tong, X., Liu, C. Z., Luo, Y., Lin, L., Dzubnar, J. M., Invernizzi, M., Santos, S. D., Zhang, Y., Cao, R., Hu, P. C., et al. (2025) · Nature Biomedical Engineering · doi:10.1038/s41551-025-01435-3 · Cited by 14

Development of the machine learning and deep learning models with SHAP strategy for predicting groundwater levels in South Korea

Kim, S., Alizamir, M., Heddam, S., Chang, S. W., Chung, I.-M., Kişi, Ö., & Külls, C. (2025) · Scientific Reports · doi:10.1038/s41598-025-19545-y · Cited by 16

Brain connectivity evaluation during selective attention using EEG-based brain-computer interface

Borhani, S., Abiri, R., Jiang, Y., Berger, T. A., & Zhao, X. (2019) · Brain-Computer Interfaces · doi:10.1080/2326263x.2019.1651186 · Cited by 16

A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics

Lan, T., Lin, K., Xu, C., Liu, Z., & Cai, H. (2020) · Hydrology and earth system sciences · doi:10.5194/hess-24-5859-2020 · Cited by 14

Impact of Usability Mechanisms: A Family of Experiments on Efficiency, Effectiveness and User Satisfaction

Ferreira, J. M., Rodríguez, F. D., Santos, A., Dieste, Ó., Acuña, S. T., & Juristo, N. (2022) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2022.3149586 · Cited by 14

Spectral weighting functions for lateralization and localization of complex sound

Folkerts, M. L., & Stecker, G. C. (2022) · The Journal of the Acoustical Society of America · doi:10.1121/10.0011469 · Cited by 14

SaTSeaD: Satellite Triangulated Sea Depth Open-Source Bathymetry Module for NASA Ames Stereo Pipeline

Pălășeanu-Lovejoy, M., Alexandrov, O., Danielson, J. J., & Storlazzi, C. D. (2023) · Remote Sensing · doi:10.3390/rs15163950 · Cited by 14

Slowing taxon cycle can explain biodiversity patterns on islands: Insights into the biogeography of the tropical South Pacific from molecular data

Keppel, G., Nge, F. J., & Ibanez, T. T. (2023) · Journal of Systematics and Evolution · doi:10.1111/jse.13026 · Cited by 14

Soluble TNFR1 has greater reproducibility than IL-6 for the assessment of chronic inflammation in older adults: the case for a new inflammatory marker in aging

Laskow, T. C., Langdon, J. M., Sepehri, S., Davalos-Bichara, M., Varadhan, R., & Walston, J. D. (2023) · GeroScience · doi:10.1007/s11357-023-01006-x · Cited by 14

The double-edged sword effect of conformity on cooperation in spatial Prisoner’s Dilemma Games with reinforcement learning

Wang, P., & Yang, Z. (2024) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2024.115483 · Cited by 15

Energy Analysis of Standardized Shipping Containers for Housing

Arce, E., Panait, M. C., Lago-Cabo, J. M., & Fernández-González, R. (2024) · Inventions · doi:10.3390/inventions9050106 · Cited by 14

Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study

Gleason, A., Richter, F., Beller, N., Arivazhagan, N., Feng, R., Holmes, E., Glicksberg, B. S., Morton, S. U., Vega‐Talbott, M. L., Fields, M. C., et al. (2024) · EClinicalMedicine · doi:10.1016/j.eclinm.2024.102919 · Cited by 14

Universal Phase Identification of Block Copolymers From Physics‐Informed Machine Learning

Fang, X., Murphy, E. A., Kohl, P. A., Li, Y., Hawker, C. J., Bates, C. M., & Gu, M. (2025) · Journal of Polymer Science · doi:10.1002/pol.20241063 · Cited by 14

Ranking institutions within a university based on their scientific performance: A percentile-based approach

Zornić, N., Bornmann, L., Maričić, M., Marković, A., Martić, M., & Jeremić, V. (2015) · El Profesional de la Informacion · doi:10.3145/epi.2015.sep.05 · Cited by 14

Divide and conquer: Configuring submodels for valid and efficient analyses of complex simulation models

Lorscheid, I., & Meyer, M. (2015) · Ecological Modelling · doi:10.1016/j.ecolmodel.2015.11.013 · Cited by 14

An Objective Approach to Generating Multi-Physics Ensemble Precipitation Forecasts Based on the WRF Model

Shen, C., Duan, Q., Gong, W., Gan, Y., Di, Z., Wang, C., & Miao, S. (2020) · 气象学报：英文版 · doi:10.1007/s13351-020-9198-3 · Cited by 14

A Neural-Network-Based Model of Charge Prediction via the Judicial Interpretation of Crimes

Li, X., Kang, X., Wang, C., Dong, L., Yao, H. L., & Li, S. (2020) · IEEE Access · doi:10.1109/access.2020.2998108 · Cited by 14

Pre-processing memory dumps to improve similarity score of Windows modules

Martín-Pérez, M., Rodríguez, R. J., & Balzarotti, D. (2020) · Computers & Security · doi:10.1016/j.cose.2020.102119 · Cited by 14

Evaluation of the performance of data-driven approaches for filling monthly precipitation gaps in a semi-arid climate conditions

Katipoğlu, O. M. (2022) · Acta Geophysica · doi:10.1007/s11600-022-00963-9 · Cited by 14

Aging affects the phase coherence between spontaneous oscillations in brain oxygenation and neural activity

Bjerkan, J., Lancaster, G., Meglič, B., Kobal, J., Crawford, T. J., McClintock, P. V. E., & Stefanovska, A. (2023) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2023.110704 · Cited by 17

An efficient manta ray foraging optimization algorithm with individual information interaction and fractional derivative mutation for solving complex function extremum and engineering design problems

Liu, J., Yang, C., Liu, X., Zuo, F., & Zhou, H. (2023) · Applied Soft Computing · doi:10.1016/j.asoc.2023.111042 · Cited by 14

Beyond Serial Founder Effects: The Impact of Admixture and Localized Gene Flow on Patterns of Regional Genetic Diversity

Hunley, K., & Cabana, G. S. (2016) · Human Biology · doi:10.13110/humanbiology.88.3.0219 · Cited by 15

A Corporate Scandal that Hits Close to Home: Examining Owners’ Responses to the Volkswagen Diesel Emissions Scandal

Markowitz, E. M., Chapman, D. A., Guckian, M. L., & Lickel, B. A. (2017) · Environmental Communication · doi:10.1080/17524032.2017.1363071 · Cited by 14

Healthcare to parents of young terrorism survivors: a registry-based study in Norway

Haga, J. M., Thoresen, S., Stene, L. E., Wentzel‐Larsen, T., & Dyb, G. A. (2017) · BMJ Open · doi:10.1136/bmjopen-2017-018358 · Cited by 14

Dynamic Control of CPU Usage in a Lambda Platform

Kim, Y. K., HoseinyFarahabady, M. R., Lee, Y. C., Zomaya, A. Y., & Jurdak, R. (2018) · IEEE International Conference on Cluster Computing (CLUSTER) · doi:10.1109/cluster.2018.00041 · Cited by 14

Comparing conventional and green fracturing fluids by chemical characterisation and effect-based screening

Faber, A.-H., Brunner, A. M., Dingemans, M. M. L., Baken, K. A., Kools, S. A. E., Schot, P. P., de Voogt, P., & van Wezel, A. P. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.148727 · Cited by 14

Multi-Project Assessments of Sample Quality in Cross-National Surveys: The Role of Weights in Applying External and Internal Measures of Sample Bias

Jabkowski, P., Cichocki, P., & Kołczyńska, M. (2021) · Journal of Survey Statistics and Methodology · doi:10.1093/jssam/smab027 · Cited by 14

Renewable electricity consumption in the EU-27: Are cross-country differences diminishing?

Maza, A., Hierro, M., & Castro, J. V. (2010) · Renewable Energy · doi:10.1016/j.renene.2010.02.012 · Cited by 14

The Role of Individual Difference in Judging Expressiveness of Computer-Assisted Music Performances by Experts

Poli, G. D., Canazza, S., Rodà, A., & Schubert, E. (2014) · ACM Transactions on Applied Perception · doi:10.1145/2668124 · Cited by 14

Robustness of a model microbial community emerges from population structure among single cells of a clonal population

Thompson, A., Turkarslan, S., Arens, C. E., de Lomana, A. L. G., Raman, A. V., Stahl, D. A., & Baliga, N. S. (2017) · Environmental Microbiology · doi:10.1111/1462-2920.13764 · Cited by 14

Measuring International Economic Integration: Theory and Evidence of Globalization

Arribas, I., García, F. P., & Tortosa‐Ausina, E. (2006) · Munich Personal RePEc Archive (Ludwig Maximilian University of Munich) · Cited by 14

Improving statistical reporting in psychology

Schubert, A., Snijder-Steinhilber, M., Kang, H., & Quintana, D. S. (2025) · Communications Psychology · doi:10.1038/s44271-025-00356-w · Cited by 20

Türkiye’nin uzun dönem ortalama sıcaklık (°C) değerlerinin üç farklı enterpolasyon yöntemi ile tahmini

YILMAZ, C. B., Hilal, B. O. D. U., YÜCE, E. S., Demir, V., & Sevimli, M. F. (2021) · Geomatik · doi:10.29128/geomatik.984310 · Cited by 13

Genome-Wide Association Study for Root Morphology and Phosphorus Acquisition Efficiency in Diverse Maize Panels

Ribeiro, C. A. G., de Sousa, S. M., de Souza, V. F., Negri, B. F., Gault, C. M., Pastina, M. M., de Magalhães, J. V., Guimarães, L. J. M., de Barros, E. G., Buckler, E. S., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076233 · Cited by 13

Knowledge Discovery from Archaeological Materials

Garcia, P. A., Argote, D. L., Torres-­García, M. A., & Thrun, M. C. (2024) · Cambridge University Press eBooks · doi:10.1017/9781009181884 · Cited by 13

Estimating MLC NAND flash endurance

Hogan, D., Arbuckle, T., & Ryan, C. (2013) · Genetic and Evolutionary Computation Conference (GECCO) · doi:10.1145/2463372.2463537 · Cited by 13

Three years experience in a Dutch public awareness campaign on photovoltaic system performance

Tsafarakis, O., Moraitis, P., Kausika, B. B., van der Velde, H., Hart, S. ’., de Vries, A., de Rijk, P., de Jong, M. M., van Leeuwen, H., & van Sark, W. G. J. H. M. (2017) · IET Renewable Power Generation · doi:10.1049/iet-rpg.2016.1037 · Cited by 13

Performance predictions and postdictions in prospective memory of school-aged children

Cottini, M., Basso, D., Saracini, C., & Palladino, P. (2018) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2018.10.008 · Cited by 13

The Allocation of Valenced Percepts Onto 3D Space

Marmolejo‐Ramos, F., Arshamian, A., Tirado, C., Ospina, R., & Larsson, M. U. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00352 · Cited by 13

Evaluation of open photovoltaic and wind production time series for Norwegian locations

Ortiz, M. M., Kvalbein, L., & Hellemo, L. (2021) · Energy · doi:10.1016/j.energy.2021.121409 · Cited by 13

Quantitative measurement of Mono-Ethylene Glycol (MEG) content using low-field Nuclear Magnetic Resonance (NMR)

Shilliday, E. R., Barrow, B., Langford, D., Ling, N. N. A., Robinson, N., & Johns, M. L. (2022) · Journal of Natural Gas Science and Engineering · doi:10.1016/j.jngse.2022.104520 · Cited by 13

Multi-proxy reconstruction of the burial history and porosity evolution of the TOCA carbonate formation in the Lower Congo basin (South West Africa)

Bah, B., Beaudoin, N. E., Olivier Lacombe, F., Girard, J., Gout, C., Godeau, N., & Deschamps, P. (2022) · Marine and Petroleum Geology · doi:10.1016/j.marpetgeo.2022.106018 · Cited by 13

Robust Long-Term Hand Grasp Recognition With Raw Electromyographic Signals Using Multidimensional Uncertainty-Aware Models

Lin, Y., Palaniappan, R., Wilde, P. D., & Li, L. (2023) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2023.3236982 · Cited by 13

Classifying Malignant and Benign Tumors of Breast Cancer

Savalia, M. R., & Verma, J. P. V. (2023) · International Journal of Reliable and Quality E-Healthcare · doi:10.4018/ijrqeh.318483 · Cited by 13

An Intercomparison of Deep-Learning Methods for Super-Resolution Bias-Correction (SRBC) of Indian Summer Monsoon Rainfall (ISMR) Using CORDEX-SA Simulations

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Acute and chronic effects of an aromatase inhibitor on pair-maintenance behavior of water-restricted zebra finch pairs

Prior, N. H., Yap, K. N., & Soma, K. K. (2013) · General and Comparative Endocrinology · doi:10.1016/j.ygcen.2013.10.018 · Cited by 13

Endolymphatic Sac Use and Reproductive Activity in the Lesser Antilles Endemic GeckoGonatodes antillensis(Gekkota: Sphaerodactylidae)

Lamb, A. D., Watkins‐Colwell, G. J., Moore, J. A., Warren, D. L., Iglesias, T. L., Brandley, M. C., & Dornburg, A. (2017) · Bulletin of the Peabody Museum of Natural History · doi:10.3374/014.058.0103 · Cited by 13

Gender, Feedback, and Learners' Decisions to Share Their Creative Computing Projects

Gan, E. F., Hill, B. M., & Dasgupta, S. (2018) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3274323 · Cited by 13

ENVIRONMENTAL FACTORS AFFECTING THE SPATIOTEMPORAL DISTRIBUTION OF DECAPTERUS MARUADSI IN THE WESTERN GUANGDONG WATERS, CHINA

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Nature protection across countries: Do size and power matter?

Baldi, G. (2020) · Journal for Nature Conservation · doi:10.1016/j.jnc.2020.125860 · Cited by 16

Augmenting TV Viewing using Acoustically Transparent Auditory Headsets

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Mapping developmental trajectories and subtype diversity of normal and glaucomatous human retinal ganglion cells by single-cell transcriptome analysis

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Task-specific information outperforms surveillance-style big data in predictive analytics

Bjerre-Nielsen, A., Kassarnig, V., Lassen, D. D., & Lehmann, S. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2020258118 · Cited by 12

The maraca plot: A novel visualization of hierarchical composite endpoints

Karpefors, M., Lindholm, D. P., & Gasparyan, S. B. (2022) · Clinical Trials · doi:10.1177/17407745221134949 · Cited by 12

How should we design violin plots?

Molina, E., Viale, L., & Vázquez, P. (2022) · doi:10.1109/visguides57787.2022.00006 · Cited by 13

Antiseizure Medication Withdrawal Practice Patterns

Terman, S. W., Slinger, G., Rheaume, C. E., Haque, A. S., Smith, S. N., van Griethuysen, R., van Asch, C. J. J., Otte, W. M., Burke, J. F., & Braun, K. P. J. (2023) · Neurology Clinical Practice · doi:10.1212/cpj.0000000000200109 · Cited by 12

Data-Driven SOA Parameter Discovery and Optimization Using Bayesian Machine Learning With a Parzen Estimator Surrogate

Kraemer, R., Düzgöl, O., Li, S., & Calabretta, N. (2023) · Journal of Lightwave Technology · doi:10.1109/jlt.2023.3316353 · Cited by 12

Performance Comparison of Classical Methods and Neural Networks for Colour Correction

Küçük, A., Finlayson, G. D., Mantiuk, R., & Ashraf, M. (2023) · Journal of Imaging · doi:10.3390/jimaging9100214 · Cited by 12

How should we design violin plots?

Molina, E., Viale, L., & Vázquez, P. (2022) · doi:10.1109/visguides57787.2022.00006 · Cited by 13

Violin Plot

Moon, K. (2016) · Use R! · doi:10.1007/978-3-319-53019-2_20 · Cited by 3

On the Cover: Violin Plot

Cui, Z. (2020) · Educational Measurement Issues and Practice · doi:10.1111/emip.12339 · Cited by 3

Opening the Box of a Boxplot

Benjamini, Y. (1988) · The American Statistician · doi:10.1080/00031305.1988.10475580 · Cited by 213

Speaking Stata: Quantile-box plots and beyond: Variations on a theme by Emanuel Parzen

Cox, N. J. (2026) · The Stata Journal Promoting communications on statistics and Stata · doi:10.1177/1536867x261477597