Rob Stocker
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
Papers in
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- Opinion Dynamics and Social Influence 7
- Complex Network Analysis Techniques 5
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- Artificial Intelligence in Healthcare 3
- Co-authors
- Tim Turner (3 shared papers)Jennifer Badham (3 shared papers)Hussein A. Abbass (1 shared paper)David Geoffrey Green (1 shared paper)David J. Cornforth (1 shared paper)Michael Barlow (3 shared papers)K Zimmermann (1 shared paper)
- Journals
- Theoretical Population Biology (2 papers)Journal of Artificial Societies and Social Simulation (1 paper)Advances in Complex Systems (1 paper)International Journal of Information and Education Technology (1 paper)PubMed (1 paper)
In The Last Decade
Rob Stocker
14 papers receiving 450 citations
Peers
Comparison fields: 5 of 94
- Health Information Management 274
- Medical Laboratory Technology 27
- Modeling and Simulation 31
- Artificial Intelligence 227
- Statistical and Nonlinear Physics 68
Countries citing papers authored by Rob Stocker
This map shows the geographic impact of Rob Stocker'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 Rob Stocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rob Stocker more than expected).
Fields of papers citing papers by Rob Stocker
This network shows the impact of papers produced by Rob Stocker. 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 Rob Stocker. The network helps show where Rob Stocker may publish in the future.
Co-authors
The 7 scholars most cited alongside Rob Stocker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 150 | |
| 2 | Using decision tree for diagnosing heart disease patients | 2011 | 133 |
| 3 | 2012 | 112 | |
| 4 | 2009 | 59 | |
| 5 | 2010 | 18 | |
| 6 | 2008 | 9 | |
| 7 | 2003 | 7 | |
| 8 | 2008 | 6 | |
| 9 | 2008 | 5 | |
| 10 | 2011 | 4 | |
| 11 | 2011 | 3 | |
| 12 | [Coagulation physiological and immunological possibilities and perspectives for the prophylaxis of postoperative wound healing disorders and infections]. | 1975 | 2 |
| 13 | 2010 | 1 | |
| 14 | Experimental study on ethical trust and social moral norms : a serious games- and network-inspired simulation approach | 2009 | 1 |
About Rob Stocker
Rob Stocker is a scholar working on Statistical and Nonlinear Physics, Health Information Management, Safety Research, Information Systems and Artificial Intelligence, having authored 14 papers that have together received 510 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (7 papers), Complex Network Analysis Techniques (5 papers), Evolutionary Game Theory and Cooperation (4 papers), Artificial Intelligence in Healthcare (3 papers), Data Mining Algorithms and Applications (3 papers), Imbalanced Data Classification Techniques (3 papers), Psychology of Moral and Emotional Judgment (2 papers) and Ethics and Social Impacts of AI (2 papers). The work is most often cited by research in Health Information Management (274 citations), Medical Laboratory Technology (27 citations), Modeling and Simulation (31 citations), Artificial Intelligence (227 citations) and Statistical and Nonlinear Physics (68 citations). Rob Stocker has collaborated with scholars based in Australia and Japan. Frequent co-authors include Tim Turner, Jennifer Badham, Hussein A. Abbass, David Geoffrey Green, David J. Cornforth, Michael Barlow and K Zimmermann. Their work appears in journals such as Theoretical Population Biology, Journal of Artificial Societies and Social Simulation, Advances in Complex Systems, International Journal of Information and Education Technology and PubMed.
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.