Martin Chapman
- Artificial Intelligence
- Computer Networks and Communications
- Information Systems
- Neurology
- General Health Professions
- Co-authors
- Vasa ĆurčinSimon ParsonsElizabeth SklarIsabel SassoonMark AshworthNadin KökciyanSanjay ModgilPeter McBurney
- Topics
- Multi-Agent Systems and Negotiation (7 papers)Semantic Web and Ontologies (7 papers)Stroke Rehabilitation and Recovery (4 papers)
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Martin Chapman
23 papers receiving 184 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 80
- Computer Networks and Communications 45
- Information Systems 39
- Neurology 22
- General Health Professions 17
Countries citing papers authored by Martin Chapman
This map shows the geographic impact of Martin Chapman'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 Martin Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Chapman more than expected).
Fields of papers citing papers by Martin Chapman
This network shows the impact of papers produced by Martin Chapman. 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 Martin Chapman. The network helps show where Martin Chapman may publish in the future.
Co-authorship network of co-authors of Martin Chapman
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Chapman. A scholar is included among the top collaborators of Martin Chapman 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 Martin Chapman. Martin Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 24 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 16 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 13 | |
| 12 | 13 | |
| 13 | 14 | |
| 14 | Computational argumentation-based clinical decision support: Demonstration | 2 |
| 15 | Towards an Argumentation System for Supporting Patients in Self-Managing their Chronic Conditions | 22 |
| 16 | 10 | |
| 17 | Rules of Engagement: design attributes for social interactions | 0 |
| 18 | 9 | |
| 19 | 4 | |
| 20 | 5 |
About Martin Chapman
Martin Chapman is a scholar working on Rehabilitation, Critical Care and Intensive Care Medicine and Information Systems and Management, having authored 29 papers that have together received 198 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (7 papers), Semantic Web and Ontologies (7 papers) and Stroke Rehabilitation and Recovery (4 papers). The work is most often cited by research in Health Informatics (7 citations), Health Information Management (12 citations) and Artificial Intelligence (80 citations). Martin Chapman has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Vasa Ćurčin, Simon Parsons, Elizabeth Sklar, Isabel Sassoon, Mark Ashworth, Nadin Kökciyan, Sanjay Modgil, Peter McBurney, Talya Porat and Mark Little. Their work appears in journals such as IEEE Communications Magazine, Computer Communications and IBM Systems Journal.
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.