David J. Hand
Impact in
- Artificial Intelligence top 0.05%
- Imbalanced Data Classification Techniques
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
- Data Stream Mining Techniques
- Statistics and Probability top 0.1%
- Advanced Statistical Methods and Models
Papers in
-
- Imbalanced Data Classification Techniques 60
- Machine Learning and Data Classification 19
- Bayesian Modeling and Causal Inference 18
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- Data Mining Algorithms and Applications 53
- Co-authors
- Padhraic Smyth (6 shared papers)Heikki Mannila (6 shared papers)William Henley (7 shared papers)Niall M. Adams (43 shared papers)B. S. Everitt (5 shared papers)Carl J. Huberty (1 shared paper)Geoffrey J. McLachlan (2 shared papers)Keming Yu (3 shared papers)
- Journals
- International Statistical Review (47 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (16 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (15 papers)Biometrics (11 papers)Psychological Medicine (10 papers)
- Partner nations
- United KingdomUnited StatesPoland
In The Last Decade
David J. Hand
410 papers receiving 25.3k citations
David J. Hand's Hit Papers
Peers
Comparison fields: 5 of 242
- Artificial Intelligence 11.2k
- Statistics and Probability 2.6k
- Accounting 2.2k
- Information Systems 4.2k
- Signal Processing 1.9k
Countries citing papers authored by David J. Hand
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
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-authors
The 25 scholars most cited alongside David J. Hand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 438 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Top 10 algorithms in data mining Hit paper breakdown → | 2007 | 4439 |
| 2 | Principles of Data Mining Hit paper breakdown → | 2001 | 1880 |
| 3 | A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems Hit paper breakdown → | 2001 | 1729 |
| 4 | Finite Mixture Distributions Hit paper breakdown → | 1981 | 856 |
| 5 | Applied Discriminant Analysis. Hit paper breakdown → | 1995 | 840 |
| 6 | Measuring classifier performance: a coherent alternative to the area under the ROC curve Hit paper breakdown → | 2009 | 757 |
| 7 | Analysis of Repeated Measures. Hit paper breakdown → | 1991 | 757 |
| 8 | Statistical Classification Methods in Consumer Credit Scoring: A Review Hit paper breakdown → | 1997 | 719 |
| 9 | Principles of Data Mining Hit paper breakdown → | 2007 | 690 |
| 10 | Idiot's Bayes—Not So Stupid After All? Hit paper breakdown → | 2001 | 682 |
| 11 | Discrimination and Classification. Hit paper breakdown → | 1982 | 598 |
| 12 | Construction and Assessment of Classification Rules Hit paper breakdown → | 1999 | 506 |
| 13 | ROC Curves for Continuous Data Hit paper breakdown → | 2009 | 500 |
| 14 | Classifier Technology and the Illusion of Progress Hit paper breakdown → | 2006 | 499 |
| 15 | 2000 | 312 | |
| 16 | 1989 | 305 | |
| 17 | 2011 | 290 | |
| 18 | 1987 | 288 | |
| 19 | Unsupervised Profiling Methods for Fraud Detection | 2002 | 286 |
| 20 | 1998 | 266 |
About David J. Hand
David J. Hand is a scholar working on Artificial Intelligence, Information Systems, Statistics and Probability, Management Science and Operations Research and Accounting, having authored 438 papers that have together received 27.8k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (60 papers), Data Mining Algorithms and Applications (53 papers), Advanced Statistical Methods and Models (34 papers), Financial Distress and Bankruptcy Prediction (27 papers), Machine Learning and Data Classification (19 papers), Bayesian Modeling and Causal Inference (18 papers), Rough Sets and Fuzzy Logic (17 papers) and Statistical Methods and Inference (15 papers). The work is most often cited by research in Artificial Intelligence (11.2k citations), Statistics and Probability (2.6k citations), Accounting (2.2k citations), Information Systems (4.2k citations) and Signal Processing (1.9k citations). David J. Hand has collaborated with scholars based in United Kingdom, United States and Poland. Frequent co-authors include Padhraic Smyth, Heikki Mannila, William Henley, Niall M. Adams, B. S. Everitt, Carl J. Huberty, Geoffrey J. McLachlan, Keming Yu, M. J. Crowder and Philip S. Yu. Their work appears in journals such as International Statistical Review, Journal of the Royal Statistical Society Series A (Statistics in Society), Journal of the Royal Statistical Society Series C (Applied Statistics), Biometrics and Psychological Medicine.
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.