Violin Plots: A Box Plot-Density Trace Synergism

Density Estimation for Statistics and Data Analysis

Silverman, B. W. (2018) · Routledge eBooks · doi:10.1201/9781315140919 · Cited by 15,938

Exploratory Data Analysis

David, F. N., & Tukey, J. W. (1977) · Biometrics · doi:10.2307/2529486 · Cited by 12,707

Density Estimation for Statistics and Data Analysis

(1986) · Springer eBooks · doi:10.1007/978-1-4899-3324-9 · Cited by 8,514

Multivariate Density Estimation

Scott, D. W. (1992) · Wiley series in probability and statistics · doi:10.1002/9780470316849 · Cited by 3,786

Multivariate Density Estimation, Theory, Practice, and Visualbation

Ramsay, P. H. (1993) · Technometrics · doi:10.1080/00401706.1993.10485361 · Cited by 2,843

Variations of Box Plots

Mcgill, R., Tukey, J. W., & Larsen, W. A. (1978) · The American Statistician · doi:10.1080/00031305.1978.10479236 · Cited by 2,618

Graphical Methods for Data Analysis.

Healy, M. J. R., Chambers, J. M., Cleveland, W. S., Kleiner, B., & Tukey, P. A. (1984) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2981587 · Cited by 2,315

Graphical Methods for Data Analysis.

Fisher, N. I., Chambers, J. M., Cleveland, W. S., Kleiner, B., & Tukey, P. A. (1984) · Biometrics · doi:10.2307/2531418 · Cited by 1,982

Exploratory Data Analysis

Bulmer, M. (1978) · Sociology · doi:10.1177/003803857801200331 · Cited by 1,438

Applications, Basics and Computing of Exploratory Data Analysis.

Ross, G. J. S., Vellenian, P. F., & Hoaglin, D. C. (1983) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.2307/2347963 · Cited by 844

Assessing Nasal Epithelial Dynamics: Impact of the Natural Nasal Cycle on Intranasal Spray Deposition

Seifelnasr, A., Si, X. A., & Xi, J. (2024) · Pharmaceuticals · doi:10.3390/ph17010073 · Cited by 20

A Dynamic Programming Approach to the Collision Avoidance of Autonomous Ships

Zaccone, R. (2024) · Mathematics · doi:10.3390/math12101546 · Cited by 20

Genomic Privacy Metrics: A Systematic Comparison

Wagner, I. (2015) · IEEE Security and Privacy Workshops (SPW) · doi:10.1109/spw.2015.15 · Cited by 21

Temporal variability of freshwater and pore water recirculation components of submarine groundwater discharges at Baffin Bay, Texas

Uddameri, V., Singaraju, S., & Hernandez, E. A. (2013) · Environmental Earth Sciences · doi:10.1007/s12665-013-2902-1 · Cited by 20

Bortezomib mitigates adverse prognosis conferred by Bcl-2 overexpression in patients with relapsed/refractory multiple myeloma

Ailawadhi, S., Miecznikowski, J. C., Gaile, D. P., Wang, D., Sher, T., Mulligan, G., Bryant, B. M., Wilding, G. E., Mashtare, T. L., Stein, L. C., et al. (2011) · Leukemia & lymphoma/Leukemia and lymphoma · doi:10.3109/10428194.2011.637212 · Cited by 20

Data visualization in environmental proteomics

Mehlan, H., Schmidt, F., Weiß, S., Schüler, J. B., Fuchs, S., Riedel, K., & Bernhardt, J. (2013) · PROTEOMICS · doi:10.1002/pmic.201300167 · Cited by 19

An automated method to detect transiting circumbinary planets

Windemuth, D., Agol, E., Carter, J., Ford, E. B., Haghighipour, N., Orosz, J. A., & Welsh, W. F. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2637 · Cited by 20

Wild cherries invading natural grasslands: unraveling colonization history from population structure and spatial patterns

Amodeo, M. R., & Zalba, S. M. (2013) · Plant Ecology · doi:10.1007/s11258-013-0252-4 · Cited by 20

Nasopharyngeal Pneumococcal Density Is Associated With Viral Activity but Not With Use of Improved Stoves Among Young Andean Children

Howard, L. M., Fan, R. R., Zhu, Y., Griffin, M. R., Edwards, K. M., Hartinger, S. M., Williams, J. V., Vidal, J. E., Klugman, K. P., Gil, A. I., et al. (2017) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofx161 · Cited by 20

Politics of natural disaster

Choudhury, Z. U. A. (2013) · doi:10.17077/etd.wau3elgf · Cited by 24

Networks and Political Attitudes: Structure, Influence, and Co-EvolutionPreprint

Lazer, D. M. J., Rubineau, B., Chetkovich, C., Katz, N. R., & Neblo, M. A. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.1280328 · Cited by 20

Models of retrieval in sentence comprehension: A computational evaluation using Bayesian hierarchical modeling

Nicenboim, B., & Vasishth, S. (2017) · Journal of Memory and Language · doi:10.1016/j.jml.2017.08.004 · Cited by 87

Amino acid polymorphisms in the fibronectin-binding repeats of fibronectin-binding protein A affect bond strength and fibronectin conformation

Casillas-Ituarte, N. N., da Cruz, C. H. B., Lins, R. D., DiBartola, A. C., Howard, J., Liang, X., Höök, M., Viana, I. F. T., Sierra‐Hernández, M. R., & Lower, S. K. (2017) · Journal of Biological Chemistry · doi:10.1074/jbc.m117.786012 · Cited by 19

Blind image quality assessment based on multiscale salient local binary patterns

Freitas, P. G., Alamgeer, S., Akamine, W. Y. L., & Farias, M. C. Q. (2018) · ACM Multimedia Systems Conference (MMSys) · doi:10.1145/3204949.3204960 · Cited by 19

High-Resolution and Accurate Topography Reconstruction of Mount Etna from Pleiades Satellite Data

Pălășeanu-Lovejoy, M., Bisson, M., Spinetti, C., Buongiorno, M. F., Alexandrov, O., & Cecere, T. H. (2019) · Remote Sensing · doi:10.3390/rs11242983 · Cited by 19

Proteomic analysis reflects an environmental alkalinization-coupled pH-dependent mechanism of regulating lignocellulases in Trichoderma guizhouense NJAU4742

Miao, Y., Chen, X., Li, T., Zhu, H., Tang, S., Liu, D., & Shen, Q. (2020) · Biotechnology for Biofuels · doi:10.1186/s13068-020-1651-0 · Cited by 19

Applying Machine Learning to End-to-end Slice SLA Decomposition

Iannelli, M., Rahman, M. R., Choi, N., & Wang, L. (2020) · IEEE International Conference on Network Softwarization (NetSoft) · doi:10.1109/netsoft48620.2020.9165317 · Cited by 19

Generic visual data mining-based framework for revealing abnormal operation patterns in building energy systems

Zhang, C., Zhao, Y., Li, T., Zhang, X., & Adnouni, M. (2021) · Automation in Construction · doi:10.1016/j.autcon.2021.103624 · Cited by 19

Getting Ahead of the Arms Race: Hothousing the Coevolution of VirusTotal with a Packer

Menéndez, H. D., Clark, D., & Barr, E. T. (2021) · Entropy · doi:10.3390/e23040395 · Cited by 20

Impact of recent (g − 2)μ measurement on the light CP-even Higgs scenario in general Next-to-Minimal Supersymmetric Standard Model

Cao, J., Lian, J., Pan, Y., Yue, Y., & Zhang, D. (2022) · Journal of High Energy Physics · doi:10.1007/jhep03(2022)203 · Cited by 19

Raman microspectroscopy fingerprinting of organoid differentiation state

Tubbesing, K. E., Moskwa, N. L., Khoo, T. C., Nelson, D. A., Sharikova, A. V., Feng, Y., Larsen, M., & Khmaladze, A. T. (2022) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-022-00347-3 · Cited by 19

A Gaussian Type-2 Fuzzy Programming Approach for Multicrowd Congestion-Relieved Evacuation Planning

Men, J., Chen, G., Chen, P., & Zhou, L. (2022) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2022.3180743 · Cited by 19

Bayesian Performance Analysis for Algorithm Ranking Comparison

Rojas-Delgado, J., Ceberio, J., Calvo, B., & Lozano, J. A. (2022) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2022.3208110 · Cited by 19

Data-driven soft sensors targeting heat pump systems

Song, Y., Rolando, D., Marchante-Avellaneda, J., Zucker, G., & Madani, H. (2023) · Energy Conversion and Management · doi:10.1016/j.enconman.2023.116769 · Cited by 19

Convolutional Autoencoder-Based Anomaly Detection for Photovoltaic Power Forecasting of Virtual Power Plants

Park, T., Song, K., Jeong, J., & Kim, H. (2023) · Energies · doi:10.3390/en16145293 · Cited by 23

Estimating electric power consumption of in-situ residential heat pump systems: A data-driven approach

Song, Y., Peskova, M., Rolando, D., Zucker, G., & Madani, H. (2023) · Applied Energy · doi:10.1016/j.apenergy.2023.121971 · Cited by 19

Unboxing Tree ensembles for interpretability: A hierarchical visualization tool and a multivariate optimal re-built tree

Teodoro, G. D., Monaci, M., & Palagi, L. (2024) · EURO Journal on Computational Optimization · doi:10.1016/j.ejco.2024.100084 · Cited by 20

THC may reproducibly induce electrical hyperalgesia in healthy volunteers

Walter, C., Oertel, B. G., & Lötsch, J. (2014) · European Journal of Pain · doi:10.1002/ejp.575 · Cited by 19

Integrative exploration of large high-dimensional datasets

Pardy, C. J., Galbraith, S., & Wilson, S. R. (2018) · The Annals of Applied Statistics · doi:10.1214/17-aoas1055 · Cited by 19

Simple biopsy modification to collect muscle samples from free-swimming sharks

Meyer, L., Fox, A., & Huveneers, C. P. M. (2018) · Biological Conservation · doi:10.1016/j.biocon.2018.10.024 · Cited by 19

Spatiotemporal dynamics assessment of snow cover to infer snowline elevation mobility in the mountainous regions

Choubin, B., Alamdarloo, E. H., Mosavi, A. H., Hosseini, F. S., Ahmad, S., Goodarzi, M., & Shamshirband, S. (2019) · Cold Regions Science and Technology · doi:10.1016/j.coldregions.2019.102870 · Cited by 19

Development of a decision support model for determining the target multi-family housing complex for green remodeling using data mining techniques

Jeong, K., Hong, T., Chae, M., & Kim, J. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.109401 · Cited by 19

Characterizing the impact of health literacy, computer ability, patient demographics, and portal usage on patient satisfaction with a patient portal

Wong, J. I., Steitz, B. D., & Rosenbloom, S. T. (2019) · JAMIA Open · doi:10.1093/jamiaopen/ooz058 · Cited by 23

Spatial Accuracy of a Clinically Established Noninvasive Electrocardiographic Imaging System for the Detection of Focal Activation in an Intact Porcine Model

Hohmann, S., Rettmann, M. E., Konishi, H., Borenstein, A., Wang, S., Suzuki, A., Michalak, G. J., Monahan, K. H., Parker, K. D., Newman, L. K., et al. (2019) · Circulation Arrhythmia and Electrophysiology · doi:10.1161/circep.119.007570 · Cited by 19

Demystifying the Membership Inference Attack

Irolla, P., & Châtel, G. (2019) · doi:10.1109/cmi48017.2019.8962136 · Cited by 19

Moments of the doubly truncated selection elliptical distributions with emphasis on the unified multivariate skew- t distribution

Galarza, C. E., Matos, L. A., Castro, L. M., & Lachos, V. H. (2021) · Journal of Multivariate Analysis · doi:10.1016/j.jmva.2021.104944 · Cited by 19

Wind tunnel pressure data analysis for peak cladding load estimation on a high-rise building

Pomaranzi, G., Amerio, L., Schito, P., Lamberti, G., Gorlé, C., & Zasso, A. (2021) · Journal of Wind Engineering and Industrial Aerodynamics · doi:10.1016/j.jweia.2021.104855 · Cited by 19

Fate and movement of atrazine, cyanazine, metolachlor and selected degradation products in water resources of the deep Loess Hills of southwestern Iowa, USA

Steinheimer, T. R., & Scoggin, K. D. (2001) · Journal of Environmental Monitoring · doi:10.1039/b006871n · Cited by 19

Differences of fire activity and their underlying factors among vegetation formations in Greece

Xystrakis, F., & Koutsias, N. (2013) · iForest - Biogeosciences and Forestry · doi:10.3832/ifor0837-006 · Cited by 19

HYBRIDIZATION LEADS TO SENSORY REPERTOIRE EXPANSION IN A GYNOGENETIC FISH, THE AMAZON MOLLY (POECILIA FORMOSA): A TEST OF THE HYBRID-SENSORY EXPANSION HYPOTHESIS

Sandkam, B. A., Joy, J. B., Watson, C. T., Gonzalez-Bendiksen, P., Gabor, C. R., & Breden, F. J. (2012) · Evolution · doi:10.1111/j.1558-5646.2012.01779.x · Cited by 18

Discovering patterns in time-varying graphs: a triclustering approach

Guigourès, R., Boullé, M., & Fabrice Rossi, A. (2015) · Advances in Data Analysis and Classification · doi:10.1007/s11634-015-0218-6 · Cited by 18

Converting an Organic Chemistry Course to an Online Format in Two Weeks: Design, Implementation, and Reflection

Howitz, W. J., Guaglianone, G., & King, S. M. (2020) · Journal of Chemical Education · doi:10.1021/acs.jchemed.0c00809 · Cited by 20

Evaluating the Use of Uncertainty Visualisations for Imputations of Data Missing At Random in Scatterplots

Sarma, A., Guo, S., Hoffswell, J., Rossi, R. A., Du, F., Koh, E., & Kay, M. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209348 · Cited by 17

Quantification of river total phosphorus using integrative artificial intelligence models

Kim, S., Seo, Y., Malik, A., Kim, S., Heddam, S., Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Z. M., Kişi, Ö., & Singh, V. P. (2023) · Ecological Indicators · doi:10.1016/j.ecolind.2023.110437 · Cited by 18

Studying the movement behavior of benthic macroinvertebrates with automated video tracking

Augusiak, J., & den Brink, P. J. V. (2015) · Ecology and Evolution · doi:10.1002/ece3.1425 · Cited by 18

Multi-Granular Trend Detection for Time-Series Analysis

Van, G. A., Staals, F., Löffler, M., Dykes, J. A., & Speckmann, B. (2016) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2016.2598619 · Cited by 18

Longitudinal changes in BMIz-scores among 45 414 2–4-year olds with severe obesity

Freedman, D. S., Butte, N. F., Taveras, E. M., Goodman, A. B., & Blanck, H. M. (2017) · Annals of Human Biology · doi:10.1080/03014460.2017.1388845 · Cited by 18

A genome scan for genes underlying adult body size differences between Central African hunter-gatherers and farmers

Pemberton, T. J., Verdu, P., Becker, N. S., Willer, C. J., Hewlett, B. S., Le Bomin, S., Froment, A., Rosenberg, N. A., & Heyer, E. (2018) · Human Genetics · doi:10.1007/s00439-018-1902-3 · Cited by 18

The Medial Olivocochlear Reflex Is Unlikely to Play a Role in Listening Difficulties in Children

Boothalingam, S., Allan, C., Allen, P., & Purcell, D. W. (2019) · Trends in Hearing · doi:10.1177/2331216519870942 · Cited by 18

Q-MP2-OS: Møller–Plesset Correlation Energy by Quadrature

Barca, G. M. J., McKenzie, S. C., Mannix, E., Gilbert, A. T. B., & Gill, P. M. W. (2020) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.9b01142 · Cited by 18

The effect of adhesive type and ply number on the compressive strength retention of CLT at elevated temperatures

Wiesner, F., Thomson, D., & Bisby, L. (2020) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2020.121156 · Cited by 19

PREEMPT: Scalable Epidemic Interventions Using Submodular Optimization on Multi-GPU Systems

Minutoli, M., Sambaturu, P., Halappanavar, M. M., Tumeo, A., Kalyananaraman, A., & Vullikanti, A. K. S. (2020) · International Conference for High Performance Computing, Networking, Storage and Analysis (SC) · doi:10.1109/sc41405.2020.00059 · Cited by 18

Testing the Resilience of CSR Stocks during the COVID-19 Crisis: A Transcontinental Analysis

Martínez, M. D. C. V., & Cervantes, P. A. M. (2021) · Mathematics · doi:10.3390/math9050514 · Cited by 18

Representing climate evolution in ensembles of GCM simulations for the Hudson Bay System

Braun, M., Thiombiano, A. N., Vieira, M. J. F., & Stadnyk, T. (2021) · Elementa Science of the Anthropocene · doi:10.1525/elementa.2021.00011 · Cited by 19

Comparison of Maximum Common Subgraph Isomorphism Algorithms for the Alignment of 2D Chemical Structures

Duesbury, E., Holliday, J. D., & Willett, P. (2017) · ChemMedChem · doi:10.1002/cmdc.201700482 · Cited by 18

Climate and Ecosystem Factors Mediate Soil Freeze‐Thaw Cycles at the Continental Scale

Rooney, E. C., & Possinger, A. R. (2024) · Journal of Geophysical Research Biogeosciences · doi:10.1029/2024jg008009 · Cited by 17

Extreme Reactions: Radical Right Mobilization in Eastern Europe

Buštíková, L. (2019) · Cited by 17

Kriging Interpolation in Modelling Tropospheric Wet Delay

Ma, H., Zhao, Q., Verhagen, S., Psychas, D., & Dun, H. (2020) · Atmosphere · doi:10.3390/atmos11101125 · Cited by 17

Methodology for Evaluating Equivalent Models for the Dynamic Analysis of Power Systems

Barzegkar‐Ntovom, G. A., Kontis, E. O., Papadopoulos, T. A., & Papadopoulos, P. N. (2022) · IEEE Transactions on Power Delivery · doi:10.1109/tpwrd.2022.3167136 · Cited by 17

Hierarchical Exploration of Drying Patterns Formed in Drops Containing Lysozyme, PBS, and Liquid Crystals

Pal, A., Gope, A., & Iannacchione, G. S. (2022) · Processes · doi:10.3390/pr10050955 · Cited by 17

Investigation of the Relationship Between Treeline Migration and Changes in Temperature and Precipitation for the Northern Hemisphere and Sub-regions

Hansson, A., Yang, W., Dargusch, P., & Shulmeister, J. (2023) · Current Forestry Reports · doi:10.1007/s40725-023-00180-7 · Cited by 17

Five decades of freshwater salinization in the Amu Darya River basin

Hao, L., Wang, P., Gojenko, B., Yu, J., Lv, A., Li, F., Kenjabaev, S., Kulmatov, R., & Khikmatov, F. (2023) · Journal of Hydrology Regional Studies · doi:10.1016/j.ejrh.2023.101375 · Cited by 17

Composition Based Oxidation State Prediction of Materials Using Deep Learning Language Models

Fu, N., Hu, J., Feng, Y., Morrison, G. W., Loye, H. Z., & Hu, J. (2023) · Advanced Science · doi:10.1002/advs.202301011 · Cited by 20

A note on the evolution of the daily pattern of thermal comfort-related micrometeorological parameters in small urban sites in Athens

Charalampopoulos, I., Tsiros, I. X., Chronopoulou‐Sereli, A., & Matzarakis, A. (2014) · International Journal of Biometeorology · doi:10.1007/s00484-014-0934-1 · Cited by 17

Demographic characteristics, seasonal range and habitat topography of Balkan chamois population in its southernmost limit of its distribution (Giona mountain, Greece)

Papaioannou, H., Sgardelis, S. P., Chondropoulos, B., Vasilakis, D. P., Kati, V. I., & Dimopoulos, P. (2014) · Journal of Natural History · doi:10.1080/00222933.2013.869365 · Cited by 17

Mixed Membership Matrix Factorization

Mackey, L. W., Weiss, D., & Jordan, M. I. (2014) · Chapman & Hall/CRC eBooks · doi:10.1201/b17520-27 · Cited by 17

Graphics and statistics for cardiology: comparing categorical and continuous variables

Rice, K. M., & Lumley, T. (2016) · Heart · doi:10.1136/heartjnl-2015-308104 · Cited by 17

Tropical cyclone activity in the northwestern Pacific associated with decaying Central Pacific El Niños

Kim, J., Kim, S. T., Wang, L., Wang, X., & Moon, Y. (2016) · Stochastic Environmental Research and Risk Assessment · doi:10.1007/s00477-016-1256-0 · Cited by 17

Evaluating rainfall errors in global climate models through cloud regimes

Tan, J., Oreopoulos, L., Jakob, C., & Jin, D. (2017) · Climate Dynamics · doi:10.1007/s00382-017-3806-7 · Cited by 17

Renaissance: A Self-Stabilizing Distributed SDN Control Plane

Canini, M., Salem, I., Schiff, L., Schiller, E. M., & Schmid, S. (2018) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2018.00032 · Cited by 17

Real-time indoor measurement of health and climate-relevant air pollution concentrations during a carbon-finance-approved cookstove intervention in rural India

Kelp, M., Grieshop, A. P., Reynolds, C. C. O., Baumgartner, J. C., Jain, G., Sethuraman, K., & Marshall, J. D. (2018) · Development Engineering · doi:10.1016/j.deveng.2018.05.001 · Cited by 17

What are the characteristics of popular APIs? A large-scale study on Java, Android, and 165 libraries

de Lima, C., & Hora, A. (2019) · Software Quality Journal · doi:10.1007/s11219-019-09476-z · Cited by 17

Depths of Pluto's and Charon's craters, and their simple-to-complex transition

Robbins, S. J., Schenk, P. M., Riggs, J. D., Parker, A. H., Bray, V. J., Beddingfield, C. B., Beyer, R. A., Verbiscer, A. J., Binzel, R. P., & Runyon, K. D. (2020) · Icarus · doi:10.1016/j.icarus.2020.113902 · Cited by 19

Spatiotemporal distribution of Decapterus maruadsi in spring and autumn in response to environmental variation in the northern South China Sea

Zhao, H., Feng, Y., Dong, C., & Li, Z. (2021) · Regional Studies in Marine Science · doi:10.1016/j.rsma.2021.101811 · Cited by 17

Visualizing uncertainties in a storm surge ensemble data assimilation and forecasting system

Höllt, T., Altaf, M. U., Mandli, K. T., Hadwiger, M., Dawson, C. N., & Hoteit, I. (2015) · Natural Hazards · doi:10.1007/s11069-015-1596-y · Cited by 17

Daily Evolution of Insulin Sensitivity Variability with Respect to Diagnosis in the Critically Ill

Ferenci, T., Benyó, B. I., Kovács, L., Fisk, L., Shaw, G. M., & Chase, J. G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0057119 · Cited by 17

The effects of selection, drift and genetic variation on life-history trait divergence among insular populations of natterjack toad, Bufo calamita

Rogell, B., Eklund, M., Thörngren, H., Laurila, A., & Höglund, ‎. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04642.x · Cited by 17

Flower visitation by European birds offers the first evidence of interaction release in continents

da Silva, L. P., Ramos, J. A., Coutinho, A. P., Tenreiro, P. Q., & Heleno, R. (2016) · Journal of Biogeography · doi:10.1111/jbi.12915 · Cited by 17

Bringing Mindfulness-Based Relapse Prevention for Substance Use Disorders into Individual Therapy with Spanish Population: a Feasibility and Effectiveness Study

Massaro, A. F., Lecuona, O., García-Rubio, C., & Castro-Paredes, A. (2022) · Mindfulness · doi:10.1007/s12671-022-01835-5 · Cited by 15

A Critical Review of Cone Penetration Test-Based Correlations for Estimating Small-Strain Shear Modulus in North Sea Soils

Stuyts, B., Weijtjens, W., Jurado, C. S., Devriendt, C., & Kheffache, A. (2024) · Geotechnics · doi:10.3390/geotechnics4020033 · Cited by 16

ChatGPT’s performance in university admissions tests in mathematics

Udías, Á., Alonso‐Ayuso, A., Álfaro, C., Algar, M. J., Cuesta, M., Fernández-Isabel, A., Gómez, J., Lancho, C., Cano, E. L., de Diego, I. M., et al. (2024) · International Electronic Journal of Mathematics Education · doi:10.29333/iejme/15517 · Cited by 26

Real-Space Spectral Determination of Short Single-Stranded DNA Sequence Structures

Han, Y. K., Li, D., Zhu, L., Hu, C., Li, H., Zhang, Y., Zhang, C., Zhang, Y., & Dong, Z. (2024) · Journal of the American Chemical Society · doi:10.1021/jacs.4c12393 · Cited by 17

The impact of energy efficiency and renewable energy R&D spending on environmental quality: Evidence from Germany by cross-quantilogram approach

YURTKURAN, S. (2025) · Renewable Energy · doi:10.1016/j.renene.2025.123615 · Cited by 16

A spatial single-cell atlas of the claustro-insular region uncovers key regulators of neuronal identity and excitability

Fodoulian, L., Boillat, M., Moulinier, M., Carleton, A., & Rodríguez, I. (2025) · Nature Communications · doi:10.1038/s41467-025-63138-2 · Cited by 17

Longitudinal Modeling of Age-Dependent Latent Traits with Generalized Additive Latent and Mixed Models

Sørensen, Ø., Fjell, A. M., & Walhovd, K. B. (2023) · Psychometrika · doi:10.1007/s11336-023-09910-z · Cited by 20

Reliable Digital Forensics in the Air

Li, Z., Chen, B., Chen, X., Xu, C., Chen, Y., Lin, F., Li, C., Dantu, K., Ren, K., & Xu, W. (2022) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3534598 · Cited by 19

Fistula Risk Score for Auditing Pancreatoduodenectomy

van Dongen, J. C., van Dam, J. L., Besselink, M. G., Bonsing, B. A., Bosscha, K. P., Busch, O. R., van Dam, R. M., Festen, S., van der Harst, E., de Hingh, I. H. J. T., et al. (2022) · Annals of Surgery · doi:10.1097/sla.0000000000005532 · Cited by 16

Finding with NEMO

Rocco, J. D., Sipio, C. D., Nguyen, P. T., Ruscio, D. D., & Pierantonio, A. (2022) · ACM/IEEE International Conference on Model Driven Engineering Languages and Systems (MODELS) · doi:10.1145/3550355.3552459 · Cited by 16

Machine learning algorithm optimization for intelligent prediction of rock thermal conductivity: A case study from a whole-cored scientific drilling borehole

Pang, Y., Shi, B., Guo, X., Zhang, X., Wen, Y., Yang, G., & Sun, X. (2023) · Geothermics · doi:10.1016/j.geothermics.2023.102711 · Cited by 16

Cross-well multilevel pumping tests – A novel approach for characterizing the changes of hydraulic properties during gas storage in shallow aquifers

Hu, L., Schnackenberg, M., Hornbruch, G., Lüders, K., Pfeiffer, W. T., Werban, U., & Bauer, S. (2023) · Journal of Hydrology · doi:10.1016/j.jhydrol.2023.129520 · Cited by 16

DeepBCE: Evaluation of deep learning models for identification of immunogenic B-cell epitopes

Attique, M., Alkhalifah, T., Alturise, F., & Khan, Y. D. (2023) · Computational Biology and Chemistry · doi:10.1016/j.compbiolchem.2023.107874 · Cited by 16

ANFIS-based soft computing models for forecasting effective drought index over an arid region of India

Kikon, A., Dodamani, B. M., Barma, S. D., & Naganna, S. R. (2023) · AQUA - Water Infrastructure Ecosystems and Society · doi:10.2166/aqua.2023.204 · Cited by 16

Substances Detected During Coroner Postmortem Toxicology Analyses in Poisoning- and Nonpoisoning-Related Suicides

Lim, J. S., Buckley, N. A., Cairns, R. F., Schumann, J., Schaffer, A. L., & Chitty, K. M. (2023) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2023.2289 · Cited by 16

Initial-site characterization of hydrogen migration following strong-field double-ionization of ethanol

Severt, T., Weckwerth, E., Kaderiya, B., Feizollah, P., Jochim, B., Borne, K., Ziaee, F., Kanaka Raju, P., Carnes, K. D., Dantus, M. M., et al. (2024) · Nature Communications · doi:10.1038/s41467-023-44311-x · Cited by 16

Digitizing traditional dances under extreme clothing: The case study of Eyo

Ami-Williams, T., Serghides, C.-G., & Aristidou, A. (2024) · Journal of Cultural Heritage · doi:10.1016/j.culher.2024.02.011 · Cited by 16

From discard ban to exemption: How can gear technology help reduce catches of undersized Nephrops and hake in the Bay of Biscay trawling fleet?

Vogel, C., Kopp, D., & Méhault, S. (2016) · Journal of Environmental Management · doi:10.1016/j.jenvman.2016.10.017 · Cited by 16

Experimental characterisation of the periodic thermal properties of walls using artificial intelligence

Bienvenido-Huertas, D., Rubio-Bellido, C., Solís-Guzmán, J., & Oliveira, M. J. (2020) · Energy · doi:10.1016/j.energy.2020.117871 · Cited by 16

Early twenty-first century satellite-driven irrigation performance in the world’s largest system: Pakistan’s Indus Basin irrigated system

Peña-Arancibia, J. L., & Ahmad, M. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/abd19f · Cited by 16

Kaiso (ZBTB33) subcellular partitioning functionally links LC3A/B, the tumor microenvironment, and breast cancer survival

Singhal, S. K., Byun, J. S., Park, S., Yan, T., Yancey, R., Caban, A., Gil‐Hernández, S., Hewitt, S. M., Boisvert, H., Hennek, S. R., et al. (2021) · Communications Biology · doi:10.1038/s42003-021-01651-y · Cited by 17

Speech signal enhancement in cocktail party scenarios by deep learning based virtual sensing of head-mounted microphones

Fischer, T., Caversaccio, M. D., & Wimmer, W. (2021) · Hearing Research · doi:10.1016/j.heares.2021.108294 · Cited by 17

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