Applied Regression Analysis

Bias in meta-analysis detected by a simple, graphical test

Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722

Mediation in experimental and nonexperimental studies: New procedures and recommendations.

Shrout, P. E., & Bolger, N. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.4.422 · Cited by 11,335

A general and simple method for obtaining R 2 from generalized linear mixed‐effects models

Nakagawa, S., & Schielzeth, H. (2013) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2012.00261.x · Cited by 10,356

A protocol for data exploration to avoid common statistical problems: Data exploration

Zuur, A. F., Ieno, E. N., & Elphick, C. S. (2010) · Methods in Ecology and Evolution · doi:10.1111/j.2041-210x.2009.00001.x · Cited by 8,228

Guided Image Filtering

He, K., Sun, J., & Tang, X. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.213 · Cited by 5,546

Effectiveness and efficiency of guideline dissemination and implementation strategies

Grimshaw, J., Thomas, R., MacLennan, G., Fraser, C., Ramsay, C., Vale, L., Whitty, P., Eccles, M., Matowe, L., Shirran, L., et al. (2004) · Health Technology Assessment · doi:10.3310/hta8060 · Cited by 3,044

BERTScore: Evaluating Text Generation with BERT

Zhang, T., Kishore, V., Wu, F., Weinberger, K. Q., & Artzi, Y. (2019) · arXiv · doi:10.48550/arxiv.1904.09675 · Cited by 2,865

Variable Selection via Gibbs Sampling

George, E. I., & McCulloch, R. E. (1993) · Journal of the American Statistical Association · doi:10.1080/01621459.1993.10476353 · Cited by 2,828

On making causal claims: A review and recommendations

Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2010) · The Leadership Quarterly · doi:10.1016/j.leaqua.2010.10.010 · Cited by 2,441

Effect of hydroxyurea on the frequency of painful crises in sickle cell anemia

Charache, S., Terrin, M. L., Moore, R. D., Dover, G. J., Barton, F. B., Eckert, S. V., McMahon, R. P., & Bonds, D. R. (1995) · New England Journal of Medicine · doi:10.1056/nejm199505183322001 · Cited by 2,340

The statistics and biology of the species-area relationship

Connor, E. F., & McCoy, E. D. (1979) · The American Naturalist · doi:10.1086/283438 · Cited by 2,313

A simple regression method for mapping quantitative trait loci in line crosses using flanking markers

Haley, C. S., & Knott, S. A. (1992) · Heredity · doi:10.1038/hdy.1992.131 · Cited by 1,991

SIMPLS: An alternative approach to partial least squares regression

de Jong, S. (1993) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/0169-7439(93)85002-x · Cited by 1,905

Fifteen year mortality in Coronary Drug Project patients: long-term benefit with niacin

Canner, P. L., Berge, K. G., Wenger, N. K., Stamler, J., Friedman, L., Prineas, R. J., & Friedewald, W. (1986) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(86)80293-5 · Cited by 1,824

Response of Neurons in the Lateral Intraparietal Area during a Combined Visual Discrimination Reaction Time Task

Roitman, J. D., & Shadlen, M. N. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-21-09475.2002 · Cited by 1,589

Clinical versus mechanical prediction: a meta-analysis

Grove, W. M., Zald, D. H., Lebow, B. S., Snitz, B. E., & Nelson, C. (2000) · Psychological Assessment · doi:10.1037/1040-3590.12.1.19 · Cited by 1,640

Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate

Motulsky, H. J., & Brown, R. E. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-123 · Cited by 1,616

Creating a system for meeting the fiber requirements of dairy cows

Mertens, D. R. (1997) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(97)76075-2 · Cited by 1,467

Trends in Intense Precipitation in the Climate Record

Groisman, P. Y., Knight, R. W., Easterling, D. R., Karl, T. R., Hegerl, G. C., & Razuvaev, V. N. (2005) · Journal of Climate · doi:10.1175/jcli3339.1 · Cited by 1,334

Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs.

Eriksson, L., Jaworska, J., Worth, A. P., Cronin, M. T. D., McDowell, R. M., & Gramatica, P. (2003) · Environmental Health Perspectives · doi:10.1289/ehp.5758 · Cited by 1,325

Young's modulus of trabecular and cortical bone material: Ultrasonic and microtensile measurements

Rho, J. Y., Ashman, R. B., & Turner, C. H. (1993) · Journal of Biomechanics · doi:10.1016/0021-9290(93)90042-d · Cited by 1,283

Validation of Regression Models: Methods and Examples

Snee, R. D. (1977) · Technometrics · doi:10.1080/00401706.1977.10489581 · Cited by 1,283

Distance-based outliers: algorithms and applications

Knorr, E. M., Ng, R. T., & Tucakov, V. (2000) · The VLDB Journal The International Journal on Very Large Data Bases · doi:10.1007/s007780050006 · Cited by 1,195

Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression.

Budescu, D. V. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.3.542 · Cited by 1,193

The multivariate calibration problem in chemistry solved by the PLS method

Wold, S., Martens, H., & Wold, H. (1983) · Lecture notes in mathematics · doi:10.1007/bfb0062108 · Cited by 1,185

Identification and Review of Sensitivity Analysis Methods

Christopher Frey, H., & Patil, S. R. (2002) · Risk Analysis · doi:10.1111/0272-4332.00039 · Cited by 1,036

Age constraints on second-language acquisition

Flege, J. E., Yeni-Komshian, G. H., & Liu, S. (1999) · Journal of Memory and Language · doi:10.1006/jmla.1999.2638 · Cited by 989

Decline in Physical Activity in Black Girls and White Girls during Adolescence

Kimm, S. Y. S., Glynn, N. W., Kriska, A. M., Barton, B. A., Kronsberg, S. S., Daniels, S. R., Crawford, P. B., Sabry, Z. I., & Liu, K. (2002) · New England Journal of Medicine · doi:10.1056/nejmoa003277 · Cited by 949

Regression and model-building in conservation biology, biogeography and ecology: The distinction between – and reconciliation of – ‘predictive’ and ‘explanatory’ models

Mac Nally, R. (2000) · Biodiversity & Conservation · doi:10.1023/a:1008985925162 · Cited by 938

Inappropriate use of bivariable analysis to screen risk factors for use in multivariable analysis

Sun, G.-W., Shook, T. L., & Kay, G. L. (1996) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(96)00025-x · Cited by 933

Comparison of finger and intra-arterial blood pressure monitoring at rest and during laboratory testing.

Parati, G., Casadei, R., Groppelli, A., Di Rienzo, M., & Mancia, G. (1989) · Hypertension · doi:10.1161/01.hyp.13.6.647 · Cited by 899

Comparison of Stopping Rules in Forward “Stepwise” Regression

Bendel, R. B., & Afifi, A. A. (1977) · Journal of the American Statistical Association · doi:10.1080/01621459.1977.10479905 · Cited by 885

Effectiveness and efficiency of guideline dissemination and implementation strategies

Grimshaw, J. M., Thomas, R. E., MacLennan, G., Fraser, C., Ramsay, C. R., Vale, L., Whitty, P., Eccles, M. P., Matowe, L., Shirran, L., et al. (2005) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462305290190 · Cited by 864

Invited Review: Integrating Quantitative Findings from Multiple Studies Using Mixed Model Methodology

St-Pierre, N. R. (2001) · Journal of Dairy Science · doi:10.3168/jds.s0022-0302(01)74530-4 · Cited by 846

Estimating parameters of the diffusion model: Approaches to dealing with contaminant reaction times and parameter variability

Ratcliff, R., & Tuerlinckx, F. (2002) · Psychonomic Bulletin & Review · doi:10.3758/bf03196302 · Cited by 838

Italian cross-sectional growth charts for height, weight and BMI (2 to 20 yr)

Cacciari, E., Milani, S., Balsamo, A., Spada, E., Bona, G., Cavallo, L., Cerutti, F., Gargantini, L., Greggio, N., Tonini, G., et al. (2006) · Journal of Endocrinological Investigation · doi:10.1007/bf03344156 · Cited by 813

Automated reverse engineering of nonlinear dynamical systems

Bongard, J., & Lipson, H. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609476104 · Cited by 792

A comparison of classification techniques for the P300 Speller

Krusienski, D. J., Sellers, E. W., Cabestaing, F., Bayoudh, S., McFarland, D. J., Vaughan, T. M., & Wolpaw, J. R. (2006) · Journal of Neural Engineering · doi:10.1088/1741-2560/3/4/007 · Cited by 762

Toward enhanced p300 speller performance

Krusienski, D. J., Sellers, E. W., McFarland, D. J., Vaughan, T. M., & Wolpaw, J. R. (2008) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.07.017 · Cited by 749

Assessing the sensitivity of regression results to unmeasured confounders in observational studies

Lin, D. Y., Psaty, B. M., & Kronmal, R. A. (1998) · Biometrics · doi:10.2307/2533848 · Cited by 742

INTERRUPTED TIME SERIES DESIGNS IN HEALTH TECHNOLOGY ASSESSMENT: LESSONS FROM TWO SYSTEMATIC REVIEWS OF BEHAVIOR CHANGE STRATEGIES

Ramsay, C. R., Matowe, L., Grilli, R., Grimshaw, J. M., & Thomas, R. E. (2003) · International Journal of Technology Assessment in Health Care · doi:10.1017/s0266462303000576 · Cited by 703

Cross-trial prediction of treatment outcome in depression: a machine learning approach

Chekroud, A. M., Zotti, R. J., Shehzad, Z., Gueorguieva, R., Johnson, M. K., Trivedi, M. H., Cannon, T. D., Krystal, J. H., & Corlett, P. R. (2016) · The Lancet Psychiatry · doi:10.1016/s2215-0366(15)00471-x · Cited by 676

A tutorial on conformal prediction

Shafer, G., & Vovk, V. (2007) · arXiv · doi:10.48550/arxiv.0706.3188 · Cited by 655

A P300-based brain–computer interface for people with amyotrophic lateral sclerosis

Nijboer, F., Sellers, E. W., Mellinger, J., Jordan, M. A., Matuz, T., Furdea, A., Halder, S., Mochty, U., Krusienski, D. J., Vaughan, T. M., et al. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.03.034 · Cited by 633

Global typology of urban energy use and potentials for an urbanization mitigation wedge

Creutzig, F., Baiocchi, G., Bierkandt, R., Pichler, P.-P., & Seto, K. C. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315545112 · Cited by 598

Let's put garbage-can regressions and garbage-can probits where they belong

Achen, C. H. (2005) · Conflict Management and Peace Science · doi:10.1080/07388940500339167 · Cited by 576

A novel P300-based brain–computer interface stimulus presentation paradigm: Moving beyond rows and columns

Townsend, G., LaPallo, B. K., Boulay, C. B., Krusienski, D. J., Frye, G. E., Hauser, C. K., Schwartz, N. E., Vaughan, T. M., Wolpaw, J. R., & Sellers, E. W. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.01.030 · Cited by 570

Statistic Notes: Regression towards the mean

Bland, J. M., & Altman, D. G. (1994) · BMJ · doi:10.1136/bmj.308.6942.1499 · Cited by 547

Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span.

McArdle, J. J., Ferrer-Caja, E., Hamagami, F., & Woodcock, R. W. (2002) · Developmental Psychology · doi:10.1037/0012-1649.38.1.115 · Cited by 544

Mass media interventions: effects on health services utilisation

Grilli, R., Ramsay, C., & Minozzi, S. (2002) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000389 · Cited by 533

The personalized advantage index: translating research on prediction into individualized treatment recommendations. A demonstration

DeRubeis, R. J., Cohen, Z. D., Forand, N. R., Fournier, J. C., Gelfand, L. A., & Lorenzo-Luaces, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0083875 · Cited by 509

The Use of the Rank Transform in Regression

Iman, R. L., & Conover, W. J. (1979) · Technometrics · doi:10.1080/00401706.1979.10489820 · Cited by 514

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

Wang, Q., Gao, J., Lin, W., & Li, X. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2020.3013269 · Cited by 510

Limitation of marine phytoplankton reproductive rates by zinc, manganese, and iron1

Brand, L. E., Sunda, W. G., & Guillard, R. R. L. (1983) · Limnology and Oceanography · doi:10.4319/lo.1983.28.6.1182 · Cited by 490

Natural History of Diagnostic Interview Schedule/ DSM-IV Major Depression: The Baltimore Epidemiologic Catchment Area Follow-up

Eaton, W. W. (1997) · Archives of General Psychiatry · doi:10.1001/archpsyc.1997.01830230023003 · Cited by 489

Bootstrapping cluster analysis: Assessing the reliability of conclusions from microarray experiments

Kerr, M. K., & Churchill, G. A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.161273698 · Cited by 474

Relation of nicotine yield of cigarettes to blood nicotine concentrations in smokers.

Russell, M. A., Jarvis, M., Iyer, R., & Feyerabend, C. (1980) · BMJ · doi:10.1136/bmj.280.6219.972 · Cited by 465

Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Kessler, R. C., Warner, C. H., Ivany, C., Petukhova, M. V., Rose, S., Bromet, E. J., Brown, M., Cai, T., Colpe, L. J., Cox, K. L., et al. (2015) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2014.1754 · Cited by 447

Separation of human adipocytes by size: hypertrophic fat cells display distinct gene expression

Jernås, M., Palming, J., Sjöholm, K., Jennische, E., Svensson, P.-A., Gabrielsson, B. G., Levin, M., Sjögren, A., Rudemo, M., Lystig, T. C., et al. (2006) · The FASEB Journal · doi:10.1096/fj.05-5678fje · Cited by 454

Effect of Expected Reward Magnitude on the Response of Neurons in the Dorsolateral Prefrontal Cortex of the Macaque

Leon, M. I., & Shadlen, M. N. (1999) · Neuron · doi:10.1016/s0896-6273(00)80854-5 · Cited by 449

Correlations between clinical activity, endoscopic severity, and biological parameters in colonic or ileocolonic Crohn's disease. A prospective multicentre study of 121 cases. The Groupe d'Etudes Thérapeutiques des Affections Inflammatoires Digestives.

Cellier, C., Sahmoud, T., Froguel, E., Adenis, A., Belaiche, J., Bretagne, J. F., Florent, C., Bouvry, M., Mary, J. Y., & Modigliani, R. (1994) · Gut · doi:10.1136/gut.35.2.231 · Cited by 430

Why We Need New Evaluation Metrics for NLG

Novikova, J., Dušek, O., Cercas Curry, A., & Rieser, V. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · doi:10.18653/v1/d17-1238 · Cited by 422

Why We Need New Evaluation Metrics for NLG

Novikova, J., Dušek, O., Curry, A. C., & Rieser, V. (2017) · arXiv · doi:10.48550/arxiv.1707.06875 · Cited by 406

A brain-computer interface for long-term independent home use

Sellers, E. W., Vaughan, T. M., & Wolpaw, J. R. (2010) · Amyotrophic Lateral Sclerosis · doi:10.3109/17482961003777470 · Cited by 400

Neuronal correlates of decision-making in secondary somatosensory cortex

Romo, R., Hernández, A., Zainos, A., Lemus, L., & Brody, C. D. (2002) · Nature Neuroscience · doi:10.1038/nn950 · Cited by 387

Traditional versus integrative behavioral couple therapy for significantly and chronically distressed married couples.

Christensen, A., Atkins, D. C., Berns, S., Wheeler, J., Baucom, D. H., & Simpson, L. E. (2004) · Journal of Consulting and Clinical Psychology · doi:10.1037/0022-006x.72.2.176 · Cited by 380

Intraparticle diffusion and adsorption of arsenate onto granular ferric hydroxide (GFH)

Badruzzaman, M., Westerhoff, P., & Knappe, D. R. U. (2004) · Water Research · doi:10.1016/j.watres.2004.07.007 · Cited by 366

Using Survey Participants to Estimate the Impact of Nonparticipation

Lin, I.-F., & Schaeffer, N. C. (1995) · Public Opinion Quarterly · doi:10.1086/269471 · Cited by 356

Neuronal Correlates of a Perceptual Decision in Ventral Premotor Cortex

Romo, R., Hernández, A., & Zainos, A. (2004) · Neuron · doi:10.1016/s0896-6273(03)00817-1 · Cited by 340

The Dynamics of Cortical and Hippocampal Atrophy in Alzheimer Disease

Sabuncu, M. R. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.167 · Cited by 339

Mapping aesthetic musical emotions in the brain

Trost, W., Ethofer, T., Zentner, M., & Vuilleumier, P. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr353 · Cited by 326

Systems biology: parameter estimation for biochemical models

Ashyraliyev, M., Fomekong‐Nanfack, Y., Kaandorp, J. A., & Blom, J. G. (2009) · The FEBS Journal · doi:10.1111/j.1742-4658.2008.06844.x · Cited by 323

Layer and rhythm specificity for predictive routing

Bastos, A. M., Lundqvist, M., Waite, A. S., Kopell, N., & Miller, E. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014868117 · Cited by 268

Precipitation and Temperature Effects on Populations of Aedes albopictus (Diptera: Culicidae): Implications for Range Expansion

Alto, B. W., & Juliano, S. A. (2001) · Journal of Medical Entomology · doi:10.1603/0022-2585-38.5.646 · Cited by 293

Causality and Endogeneity

Antonakis, J., Bendahan, S., Jacquart, P., & Lalive, R. (2014) · Oxford Handbooks Online · doi:10.1093/oxfordhb/9780199755615.013.007 · Cited by 305

The predictive validation of ecological and environmental models

Power, M. (1993) · Ecological Modelling · doi:10.1016/0304-3800(93)90106-3 · Cited by 301

Population Graphs: the graph theoretic shape of genetic structure

Dyer, R. J., & Nason, J. D. (2004) · Molecular Ecology · doi:10.1111/j.1365-294x.2004.02177.x · Cited by 285

Big data reduction framework for value creation in sustainable enterprises

Rehman, M. H. U., Chang, V., Batool, A., & Wah, T. Y. (2016) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2016.05.013 · Cited by 279

Lipoprotein predictors of the severity of coronary artery disease in men and women.

Reardon, M. F., Nestel, P. J., Craig, I. H., & Harper, R. W. (1985) · Circulation · doi:10.1161/01.cir.71.5.881 · Cited by 266

A statistical framework for analyzing deep mutational scanning data

Rubin, A. F., Gelman, H., Lucas, N., Bajjalieh, S. M., Papenfuss, A. T., Speed, T. P., & Fowler, D. M. (2017) · Genome Biology · doi:10.1186/s13059-017-1272-5 · Cited by 262

speed skills: measuring the visual speed analyzing properties of primate mt neurons

Perrone, J. A., & Thiele, A. (2001) · Nature Neuroscience · doi:10.1038/87480 · Cited by 251

Behind intermediary performance in export trade: transactions, agents, and resources

Peng, M. W., & York, A. S. (2001) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8490955 · Cited by 242

Combining Risk Estimates from Observational Studies with Different Exposure Cutpoints: A Meta-analysis on Body Mass Index and Diabetes Type 2

Hartemink, N., Boshuizen, H. C., Nagelkerke, N. J. D., Jacobs, M. A. M., & van Houwelingen, H. C. (2006) · American Journal of Epidemiology · doi:10.1093/aje/kwj141 · Cited by 226

Engagement in mobile phone app for self-monitoring of emotional wellbeing predicts changes in mental health: MoodPrism

Bakker, D., & Rickard, N. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.11.016 · Cited by 231

Long-term language attainment of bilingual immigrants: Predictive variables and language group differences

JIA, G., AARONSON, D., & WU, Y. (2002) · Applied Psycholinguistics · doi:10.1017/s0142716402004058 · Cited by 229

Does Self-Compassion Mitigate the Association Between Childhood Maltreatment and Later Emotion Regulation Difficulties? A Preliminary Investigation

Vettese, L. C., Dyer, C. E., Li, W. L., & Wekerle, C. (2011) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-011-9340-7 · Cited by 228

A Survey of Evaluation Metrics Used for NLG Systems

Sai, A. B., Mohankumar, A. K., & Khapra, M. M. (2023) · ACM Computing Surveys · doi:10.1145/3485766 · Cited by 235

Mining the Unknown: A Systems Approach to Metabolite Identification Combining Genetic and Metabolic Information

Krumsiek, J., Suhre, K., Evans, A. M., Mitchell, M. W., Mohney, R. P., Milburn, M. V., Wägele, B., Römisch-Margl, W., Illig, T., Adamski, J., et al. (2012) · PLoS Genetics · doi:10.1371/journal.pgen.1003005 · Cited by 197

Nostalgia and well-being in daily life: An ecological validity perspective.

Newman, D. B., Sachs, M. E., Stone, A. A., & Schwarz, N. (2020) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000236 · Cited by 198

Interspecific variation in fear responses predicts urbanization in birds

Moller, A. P. (2010) · Behavioral Ecology · doi:10.1093/beheco/arp199 · Cited by 189

Relation between Body Mass Index and Body Fat in Black Population Samples from Nigeria, Jamaica, and the United States

Luke, A., Durazo-Arvizu, R., Rotimi, C., Prewitt, T. E., Forrester, T., Wilks, R., Ogunbiyi, O. J., Schoeller, D. A., McGee, D., & Cooper, R. S. (1997) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009159 · Cited by 186

The impact of climate change on human health: Some international implications

Kalkstein, L. S., & Smoyer, K. E. (1993) · Experientia · doi:10.1007/bf02125644 · Cited by 180

Effects of depressive symptoms on health-related quality of life in asthma patients

Mancuso, C. A., Peterson, M. G. E., & Charlson, M. E. (2000) · Journal of General Internal Medicine · doi:10.1046/j.1525-1497.2000.07006.x · Cited by 176

Seasonal Movements, Aggregations and Diving Behavior of Atlantic Bluefin Tuna (Thunnus thynnus) Revealed with Archival Tags

Walli, A., Teo, S. L. H., Boustany, A., Farwell, C. J., Williams, T., Dewar, H., Prince, E., & Block, B. A. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006151 · Cited by 170

Target Selection for Saccadic Eye Movements: Prelude Activity in the Superior Colliculus During a Direction-Discrimination Task

Horwitz, G. D., & Newsome, W. T. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.5.2543 · Cited by 168

A revised calibration of the clumped isotope thermometer

Zaarur, S., Affek, H. P., & Brandon, M. T. (2013) · Earth and Planetary Science Letters · doi:10.1016/j.epsl.2013.07.026 · Cited by 163

Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis

Riccio, A., Simione, L., Schettini, F., Pizzimenti, A., Inghilleri, M., Belardinelli, M. O., Mattia, D., & Cincotti, F. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00732 · Cited by 162

Re-evaluating Evaluation in Text Summarization

Bhandari, M., Gour, P. N., Ashfaq, A., Liu, P., & Neubig, G. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · doi:10.18653/v1/2020.emnlp-main.751 · Cited by 148

The Effect of Religiosity on Tax Fraud Acceptability: A Cross‐National Analysis

STACK, S., & KPOSOWA, A. (2006) · Journal for the Scientific Study of Religion · doi:10.1111/j.1468-5906.2006.00310.x · Cited by 148

Efficient Attentions for Long Document Summarization

Huang, L., Cao, S., Parulian, N., Ji, H., & Wang, L. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · doi:10.18653/v1/2021.naacl-main.112 · Cited by 146