David J. Hand

36.9k total citations · 13 hit papers
369 papers, 24.0k citations indexed

About

David J. Hand is a scholar working on Artificial Intelligence, Information Systems and Statistics and Probability. According to data from OpenAlex, David J. Hand has authored 369 papers receiving a total of 24.0k indexed citations (citations by other indexed papers that have themselves been cited), including 120 papers in Artificial Intelligence, 45 papers in Information Systems and 44 papers in Statistics and Probability. Recurrent topics in David J. Hand's work include Imbalanced Data Classification Techniques (51 papers), Data Mining Algorithms and Applications (43 papers) and Advanced Statistical Methods and Models (26 papers). David J. Hand is often cited by papers focused on Imbalanced Data Classification Techniques (51 papers), Data Mining Algorithms and Applications (43 papers) and Advanced Statistical Methods and Models (26 papers). David J. Hand collaborates with scholars based in United Kingdom, United States and Poland. David J. Hand's co-authors include Heikki Mannila, Padhraic Smyth, William Henley, Carl J. Huberty, B. S. Everitt, Geoffrey J. McLachlan, Keming Yu, Niall M. Adams, M. J. Crowder and W. J. Krzanowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

David J. Hand

349 papers receiving 21.9k citations

Hit Papers

Top 10 algorithms in data mining 1981 2026 1996 2011 2007 2001 2001 1995 1981 1000 2.0k 3.0k

Peers

David J. Hand
Comparison fields: 5 of 241
  • Artificial Intelligence 9.2k
  • Information Systems 3.3k
  • Statistics and Probability 2.3k
  • Computer Vision and Pattern Recognition 1.9k
  • Accounting 1.9k
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Citations per field, relative to David J. Hand
David J. Hand · 1×
Citations per year, relative to David J. Hand
David J. Hand · 1×

Countries citing papers authored by David J. Hand

Since Specialization
Citations

This map shows the geographic impact of David J. Hand's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David J. Hand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David J. Hand more than expected).

Fields of papers citing papers by David J. Hand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Hand. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David J. Hand. The network helps show where David J. Hand may publish in the future.

Co-authorship network of co-authors of David J. Hand

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Hand. A scholar is included among the top collaborators of David J. Hand based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David J. Hand. David J. Hand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 73
3
Dynamic Multi-Armed Bandit with Covariates
2
4 18
5 1
6 140
7
Design of investigations, statistical methods and applications
0
8
Foundations of statistical inference, theoretical statistics, time series and stochastic processes
0
9
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
68
10
KDD-2002 : proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, July 23-26, 2002, Edmonton, Alberta, Canada
62
11
Pattern detection and discovery : ESF Exploratory Workshop, London, UK, September 16-19, 2002 : proceedings
1
12
Differential procoagulant gene expression may explain variation in thromboembolic risks in ovarian and breast cancer.
1
13
Principles of Data Mining breakdown →
1507
14
Defining the goals to optimise data mining performance
4
15 214
16
Statistical Classification Methods in Consumer Credit Scoring: A Review
4
17
Anchorage of Asymmetric Acetyicholinepterase by Isodipeptide Cross-Linking in Muscle Cells
1
18 10
19
Multivariate analysis of variance for behavioural scientists
2
20 114

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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