Chris Kelman
- Epidemiology
- General Health Professions top 10%
- Public Health, Environmental and Occupational Health top 10%
- Economics and Econometrics top 10%
- Management Science and Operations Research top 5%
- Co-authors
- C. D’Arcy J. HolmanA. BassPhilip ClarkeHongxing HeHuidong JinStephen ColagiuriGraham WilliamsJosé Leal
- Topics
- Data Mining Algorithms and Applications (5 papers)Primary Care and Health Outcomes (5 papers)Chronic Disease Management Strategies (4 papers)
- Journals
- Journal of General Internal MedicineBMC Public HealthIEEE Transactions on Knowledge and Data Engineering
- Partner nations
- AustraliaUnited KingdomCanada
In The Last Decade
Chris Kelman
22 papers receiving 905 citations
Peers
Comparison fields: 5 of 115
- Epidemiology 192
- General Health Professions 175
- Public Health, Environmental and Occupational Health 157
- Economics and Econometrics 129
- Management Science and Operations Research 117
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-authorship network of co-authors of Chris Kelman
This figure shows the co-authorship network connecting the top 25 collaborators of Chris Kelman. A scholar is included among the top collaborators of Chris Kelman 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 Chris Kelman. Chris Kelman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Supporting increasing renewable energy penetration in Australia — The potential contribution of electric vehicles | 9 |
| 2 | 20 | |
| 3 | 36 | |
| 4 | 44 | |
| 5 | 32 | |
| 6 | 71 | |
| 7 | 20 | |
| 8 | 68 | |
| 9 | 30 | |
| 10 | 11 | |
| 11 | Frequency-based Rare Events Mining in Administrative Health Data | 1 |
| 12 | 6 | |
| 13 | 26 | |
| 14 | 4 | |
| 15 | 47 | |
| 16 | 82 | |
| 17 | 12 | |
| 18 | 354 | |
| 19 | 39 | |
| 20 | 27 |
About Chris Kelman
Chris Kelman is a scholar working on Toxicology, Internal Medicine and Health Information Management, having authored 23 papers that have together received 961 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Primary Care and Health Outcomes (5 papers) and Chronic Disease Management Strategies (4 papers). The work is most often cited by research in Toxicology (71 citations), Health Information Management (93 citations) and Internal Medicine (62 citations). Chris Kelman has collaborated with scholars based in Australia, United Kingdom and Canada. Frequent co-authors include C. D’Arcy J. Holman, A. Bass, Philip Clarke, Hongxing He, Huidong Jin, Stephen Colagiuri, Graham Williams, José Leal, Christine M. O’Keefe and Merran Smith. Their work appears in journals such as Journal of General Internal Medicine, BMC Public Health and IEEE Transactions on Knowledge and Data Engineering.
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.