Mark Hall

Active 1990–2026

113
Papers
31,554
Citations
40
h-index
74
i10-index

Citations

Citations per year for Mark Hall1967: 1 citations1974: 1 citations1988: 1 citations1989: 1 citations1991: 7 citations1992: 5 citations1993: 3 citations1994: 5 citations1995: 3 citations1996: 4 citations1997: 6 citations1998: 8 citations1999: 9 citations2000: 11 citations2001: 12 citations2002: 19 citations2003: 27 citations2004: 36 citations2005: 63 citations2006: 81 citations2007: 110 citations2008: 166 citations2009: 156 citations2010: 484 citations2011: 932 citations2012: 1,202 citations2013: 1,493 citations2014: 1,756 citations2015: 1,878 citations2016: 1,828 citations2017: 1,514 citations2018: 1,398 citations2019: 1,373 citations2020: 1,297 citations2021: 1,009 citations2022: 706 citations2023: 508 citations2024: 505 citations2025: 368 citations2026: 87 citations1968–1973: no citations, so these years are not shown1975–1987: no citations, so these years are not shown1990: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,236 citing papers, 17.6% of this breakdownChina: 1,725 citing papers, 7.2% of this breakdownUnited Kingdom: 1,530 citing papers, 6.4% of this breakdownGermany: 1,276 citing papers, 5.3% of this breakdownSpain: 1,212 citing papers, 5% of this breakdownIndia: 1,025 citing papers, 4.3% of this breakdownCanada: 950 citing papers, 3.9% of this breakdownItaly: 872 citing papers, 3.6% of this breakdownAustralia: 843 citing papers, 3.5% of this breakdownBrazil: 738 citing papers, 3.1% of this breakdownFrance: 568 citing papers, 2.4% of this breakdownNetherlands: 414 citing papers, 1.7% of this breakdown
0%17.6%Other 36%

Fields

  • Computer Science60.3%
  • Medicine8.6%
  • Biochemistry, Genetics and Molecular Biology7.7%
  • Engineering5%
  • Psychology3.4%
  • Social Sciences2.6%
  • Other12.4%

Topics

  • Topic Modeling2.4%
  • Network Security and Intrusion Detection2.4%
  • Machine Learning and Data Classification2.2%
  • Data Mining Algorithms and Applications1.8%
  • Imbalanced Data Classification Techniques1.8%
  • Natural Language Processing Techniques1.8%
  • Other87.6%

Coauthors

All papers

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  1. A practical approach to measuring user engagement with the refined user engagement scale (UES) and new UES short form

    Authors: , , - International Journal of Human-Computer Studies, Int. J. Hum. Comput. Stud. 2018 cited by 941

  2. The WEKA data mining software: an update

    Authors: , , , , , - ACM SIGKDD Explorations Newsletter 2009 cited by 17,849

  3. Correlation-based Feature Selection for Machine Learning

    Authors: - http://www.cs.waikato.ac.nz/~ml/publications/1999/99MH-Thesis.pdf 1998 cited by 3,503

  4. A Simple Approach to Ordinal Classification

    Authors: , - Lecture notes in computer science, ECML 2001 cited by 578

  5. Information Access Evaluation. Multilinguality, Multimodality, and Interaction - 5th International Conference of the CLEF Initiative, CLEF 2014, Sheffield, UK, September 15-18, 2014. Proceedings

    Authors: , , , , , , - Lecture notes in computer science, CLEF 2014 cited by 73

  6. Weka-A Machine Learning Workbench for Data Mining

    Authors: , , , , , , - Data Mining and Knowledge Discovery Handbook 2009 cited by 467

  7. Use of Ablation Index-Guided Ablation Results in High Rates of Durable Pulmonary Vein Isolation and Freedom From Arrhythmia in Persistent Atrial Fibrillation Patients

    Authors: , , , , , , , , , , , , , - Circulation Arrhythmia and Electrophysiology 2018 cited by 297

  8. Interactive machine learning: letting users build classifiers

    Authors: , , , , - International Journal of Human-Computer Studies, Int. J. Hum. Comput. Stud. 2001 cited by 211

  9. The Epidemiology of Hospital Death Following Pediatric Severe Sepsis: When, Why, and How Children With Sepsis Die*

    Authors: , , , , , , , , - Pediatric Critical Care Medicine 2017 cited by 183

  10. Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Shakhnaz Akhmedova, Eugene Semenkin, Wolfgang Minker, Hugo Hammer, Erik Solberg, Lilja vrelid, Lu Wang, Claire Cardie, Yoonjung Choi, Siavash Kazemian, Shunan Zhao, Gerald Penn, Pranav Anand, Kevin Reschke, Ron Artstein, Massimo Poesio, Jordan Boyd, -Graber, Philip Resnik, Pi-Chuan Chang, Huihsin Tseng, Dan Jurafsky, Christopher Manning, Yejin Choi, Claire Cardie, Lingjia Deng, Janyce Wiebe, Lingjia Deng, Yoonjung Choi, Janyce Wiebe, Song Feng, Jun Sak Kang, Polina Kuznetsova, Yejin Choi, Amit Goyal, Ellen Riloff, Hal Daum, Iii, Richard Johansson, Alessandro Moschitti, Mikhail Kozhevnikov, Ivan Titov, Lun-Wei Ku, Hsin-Hsi Chen, Jun Li, Maosong Sun, Stefano Baccianella, Andrea Esuli, Fabrizio Sebastiani, A Ferraresi, E Zanchetta, M Baroni, S Bernardini, Simon Clematide, Manfred Klenner, Andrea Esuli, Fabrizio Sebastiani, Eibe Frank, Mark Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer, Ian Witten, Len Trigg, Vasileios Hatzivassiloglou, Kathleen Mckeown, Sheng Huang, Zhendong Niu, Chongyang Shi, Hiroshi Kanayama and 904 more - 2014 cited by 131

  11. The pediatric sepsis biomarker risk model

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Critical Care 2012 cited by 219

  12. Ablation index, a novel marker of ablation lesion quality: prediction of pulmonary vein reconnection at repeat electrophysiology study and regional differences in target values

    Authors: , , , , , , , , , , , - EP Europace 2016 cited by 345

  13. Targeting Nonpulmonary Vein Sources in Persistent Atrial Fibrillation Identified by Noncontact Charge Density Mapping

    Authors: , , , , , , , , , , , , , , , - Circulation Arrhythmia and Electrophysiology 2019 cited by 106

  14. Beyond regulatory compliance: evaluating radiology artificial intelligence applications in deployment

    Authors: , , , , , , , , , , , , , - Clinical Radiology 2024 cited by 26

  15. Evaluating Retrieval over Sessions: The TREC Session Track 2011-2014

    Authors: , , , , - SIGIR conference on Research and Development in Information Retrieval 2016 cited by 51

  16. Pediatric Organ Dysfunction Information Update Mandate (PODIUM) Contemporary Organ Dysfunction Criteria: Executive Summary

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Howard Jeffries, Philippe Jouvet, Sujatha Kannan, Oliver Karam, Robinder G. Khemani, Niranjan Kissoon, Jacques Lacroix, Peter Laussen, Francis Leclerc, Jan Hau Lee, Stephane Leteurtre, Katie Lobner, Patrick J. McKiernan, Kusum Menon, Paul Monagle, Jennifer A. Muszynski, Folafoluwa Odetola, Robert Parker, Nazima Pathan, Richard W. Pierce, Jose Pineda, Jose M. Prince, Karen A. Robinson, Courtney M. Rowan, Lindsay M. Ryerson, L. Nelson Sanchez-Pinto, Luregn J. Schlapbach, David T. Selewski, Lara S. Shekerdemian, Dennis Simon, Lincoln S. Smith, James E. Squires, Robert H. Squires, Scott M. Sutherland, Yves Ouellette, Michael C. Spaeder, Vijay Srinivasan, Marie E. Steiner, Robert C. Tasker, Ravi Thiagarajan, Neal Thomas, Pierre Tissieres, Chani Traube, Marisa Tucci, Katri V. Typpo, Mark S. Wainwright, Shan L. Ward, R. Scott Watson, Scott Weiss, Jane Whitney, Doug Willson, James L. Wynn, Nadir Yeyha, Jerry J. Zimmerman - PEDIATRICS 2021 cited by 83

  17. Complication rates following ventricular tachycardia ablation in ischaemic and non-ischaemic cardiomyopathies: a systematic review

    Authors: , , , , , , , , , - Journal of Interventional Cardiac Electrophysiology 2021 cited by 39

  18. Data mining in bioinformatics using Weka

    Authors: , , , , - Bioinformatics, Bioinform. 2004 cited by 903

  19. Large-scale attribute selection using wrappers

    Authors: , , , - IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009 cited by 268

  20. Associations Between End-Tidal Carbon Dioxide During Pediatric Cardiopulmonary Resuscitation, Cardiopulmonary Resuscitation Quality, and Survival

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Deborah Franzon, Aisha H. Frazier, Mark Hall, David A. Hehir, Christopher M. Horvat, Leanna L. Huard, Tensing Maa, Arushi Manga, Patrick S. McQuillen, Maryam Y. Naim, Daniel A. Notterman, Murray M. Pollack, Anil Sapru, Carleen Schneiter, Matthew Sharron, Sarah Tabbutt, Shirley Viteri, David Wessel, Athena F. Zuppa - Circulation 2023 cited by 32

  21. An Artificial Neural Network for Nasogastric Tube Position Decision Support

    Authors: , , , , , , , , , , , - Radiology Artificial Intelligence 2023 cited by 17

  22. Age-related divergent remodeling of the cardiac extracellular matrix in heart failure: Collagen accumulation in the young and loss in the aged

    Authors: , , , , , , , , - Journal of Molecular and Cellular Cardiology 2012 cited by 106

  23. Return-to-Work Following Occupational Rehabilitation for Long COVID: Descriptive Cohort Study

    Authors: , , , , , , - JMIR Rehabilitation and Assistive Technologies 2022 cited by 62

  24. Same‐day discharge in selected patients undergoing atrial fibrillation ablation

    Authors: , , , , , , , , , , , , - Pacing and Clinical Electrophysiology 2019 cited by 57