Chris Kelman
Impact in
- Toxicology top 2%
- Pharmacovigilance and Adverse Drug Reactions
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- Electronic Health Records Systems
Papers in
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- Data Mining Algorithms and Applications 8
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- Imbalanced Data Classification Techniques 6
- Co-authors
- C. D’Arcy J. Holman (4 shared papers)A. Bass (2 shared papers)Hongxing He (12 shared papers)Huidong Jin (9 shared papers)Philip Clarke (3 shared papers)Graham Williams (8 shared papers)Christine M. O’Keefe (5 shared papers)Stephen Colagiuri (2 shared papers)
- Journals
- Australian and New Zealand Journal of Public Health (4 papers)The Medical Journal of Australia (2 papers)British Journal of Clinical Pharmacology (1 paper)Diabetic Medicine (1 paper)BMC Public Health (1 paper)
- Partner nations
- AustraliaUnited KingdomHong Kong
In The Last Decade
Chris Kelman
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 118
- Toxicology 96
- Health Information Management 83
- Internal Medicine 48
- Management Science and Operations Research 131
- Geriatrics and Gerontology 18
Countries citing papers authored by Chris Kelman
This map shows the geographic impact of Chris Kelman'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 Chris Kelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Kelman more than expected).
Fields of papers citing papers by Chris Kelman
This network shows the impact of papers produced by Chris Kelman. 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 Chris Kelman. The network helps show where Chris Kelman may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Kelman, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 378 | |
| 2 | 2003 | 88 | |
| 3 | 2008 | 79 | |
| 4 | 2007 | 70 | |
| 5 | 2005 | 59 | |
| 6 | 2010 | 44 | |
| 7 | 2010 | 42 | |
| 8 | 2000 | 40 | |
| 9 | 2009 | 33 | |
| 10 | 2007 | 30 | |
| 11 | 2006 | 28 | |
| 12 | 2000 | 28 | |
| 13 | A delivery framework for health data mining and analytics | 2005 | 25 |
| 14 | 2008 | 21 | |
| 15 | 2010 | 21 | |
| 16 | 2006 | 18 | |
| 17 | 2003 | 16 | |
| 18 | 2002 | 13 | |
| 19 | 2007 | 12 | |
| 20 | 2005 | 12 |
About Chris Kelman
Chris Kelman is a scholar working on Information Systems, Artificial Intelligence, Computational Theory and Mathematics, Toxicology and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Imbalanced Data Classification Techniques (6 papers), Rough Sets and Fuzzy Logic (5 papers), Pharmacovigilance and Adverse Drug Reactions (5 papers), Statistical Methods in Clinical Trials (2 papers), Clinical practice guidelines implementation (2 papers), Medical Coding and Health Information (2 papers) and Electric Vehicles and Infrastructure (1 paper). The work is most often cited by research in Toxicology (96 citations), Health Information Management (83 citations), Internal Medicine (48 citations), Management Science and Operations Research (131 citations) and Geriatrics and Gerontology (18 citations). Chris Kelman has collaborated with scholars based in Australia, United Kingdom and Hong Kong. Frequent co-authors include C. D’Arcy J. Holman, A. Bass, Hongxing He, Huidong Jin, Philip Clarke, Graham Williams, Christine M. O’Keefe, Stephen Colagiuri, José Leal and Jie Chen. Their work appears in journals such as Australian and New Zealand Journal of Public Health, The Medical Journal of Australia, British Journal of Clinical Pharmacology, Diabetic Medicine and BMC Public Health.
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.