Martin Chapman

448 total citations
29 papers, 198 citations indexed

About

Martin Chapman is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Martin Chapman has authored 29 papers receiving a total of 198 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 5 papers in Information Systems. Recurrent topics in Martin Chapman's work include Multi-Agent Systems and Negotiation (7 papers), Semantic Web and Ontologies (7 papers) and Stroke Rehabilitation and Recovery (4 papers). Martin Chapman is often cited by papers focused on Multi-Agent Systems and Negotiation (7 papers), Semantic Web and Ontologies (7 papers) and Stroke Rehabilitation and Recovery (4 papers). Martin Chapman collaborates with scholars based in United Kingdom, Canada and United States. Martin Chapman's co-authors include Vasa Ćurčin, Simon Parsons, Elizabeth Sklar, Isabel Sassoon, Mark Ashworth, Nadin Kökciyan, Sanjay Modgil, Peter McBurney, Talya Porat and Mark Little and has published in prestigious journals such as IEEE Communications Magazine, Computer Communications and IBM Systems Journal.

In The Last Decade

Martin Chapman

23 papers receiving 184 citations

Peers

Martin Chapman
Comparison fields: 5 of 68
  • Artificial Intelligence 80
  • Computer Networks and Communications 45
  • Information Systems 39
  • Neurology 22
  • General Health Professions 17
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Citations per field, relative to Martin Chapman
Martin Chapman · 1×
Citations per year, relative to Martin Chapman
Martin Chapman · 1×

Countries citing papers authored by Martin Chapman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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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