D. J. Hand

652 citations
11 papers · 508 · h-index 5

Impact in

Papers in

    • Statistical Methods and Applications 5
    • Statistical Distribution Estimation and Applications 1
    • Statistical Methods and Bayesian Inference 1
    • Bayesian Methods and Mixture Models 3
    • Imbalanced Data Classification Techniques 1

D. J. Hand

11 papers receiving 473 citations

Peers

D. J. Hand
Comparison fields: 5 of 107
  • Statistics and Probability 95
  • Artificial Intelligence 178
  • Health Information Management 27
  • Information Systems 72
  • Accounting 33
Replace Iain Brown with:
Iain Brown United Kingdom
Graham J. Wills United States
Liyun He-Guelton France
António Pedro Duarte Silva Portugal
Haytham Elghazel France
Patrice Latinne Belgium
Otto Opitz Germany
Afif Masmoudi Tunisia
Patrice Bertrand France
Bhanukiran Vinzamuri United States
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Citations per field
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Citations per year

Countries citing papers authored by D. J. Hand

Since Specialization
Citations

This map shows the geographic impact of D. 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 D. 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 D. J. Hand more than expected).

Fields of papers citing papers by D. J. Hand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. 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 D. J. Hand. The network helps show where D. J. Hand may publish in the future.

Co-authors

The 4 scholars most cited alongside D. J. Hand, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. J. Hand Line = papers co-authored together D. J. Hand links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 1997389
2 198257
3 201727
4 200216
5 199011
6 19822
7 19892
8 19811
9 19871
10 19871
11 20171

About D. J. Hand

D. J. Hand is a scholar working on Statistics and Probability, Artificial Intelligence, Information Systems, Accounting and Psychiatry and Mental health, having authored 11 papers that have together received 508 indexed citations. Recurring topics across this work include Statistical Methods and Applications (5 papers), Bayesian Methods and Mixture Models (3 papers), Data Mining and Machine Learning Applications (2 papers), Statistical Distribution Estimation and Applications (1 paper), Imbalanced Data Classification Techniques (1 paper), Financial Distress and Bankruptcy Prediction (1 paper), Migraine and Headache Studies (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Statistics and Probability (95 citations), Artificial Intelligence (178 citations), Health Information Management (27 citations), Information Systems (72 citations) and Accounting (33 citations). D. J. Hand has collaborated with scholars based in United Kingdom. Frequent co-authors include Trevor J. Ringrose, B. S. Everitt, Eric R. Ziegel and Stephen B. Vardeman. Their work appears in journals such as Biometrics, IMA Journal of Management Mathematics, Journal of the American Statistical Association, Technometrics and Journal of the Royal Statistical Society Series D (The Statistician).

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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