Jaron C. Collis

667 citations
10 papers · 317 · h-index 6

Impact in

Papers in

Jaron C. Collis

9 papers receiving 261 citations

Peers

Jaron C. Collis
Comparison fields: 5 of 43
  • Artificial Intelligence 234
  • Computer Networks and Communications 162
  • Management Information Systems 50
  • Information Systems 92
  • Software 9
Replace Alexander Pokahr with:
Alexander Pokahr Germany
Alexander Helleboogh Belgium
Monique Calisti Switzerland
Wilhelm Rossak Germany
Ralph Rönnquist Australia
Clint Sparkman United States
Djamel Eddine Saïdouni Algeria
Jiuyun Xu China
Richard M. Adler United States
Hiroki Suguri Pakistan
Jaron C. Collis relative to Alexander Pokahr Germany Alexander Pokahr's profile →
Citations per field
00.5×1.5×1.8×
Alexander Pokahr · 1×
Citations per year

Countries citing papers authored by Jaron C. Collis

Since Specialization
Citations

This map shows the geographic impact of Jaron C. Collis'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 Jaron C. Collis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaron C. Collis more than expected).

Fields of papers citing papers by Jaron C. Collis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaron C. Collis. 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 Jaron C. Collis. The network helps show where Jaron C. Collis may publish in the future.

Co-authors

The 3 scholars most cited alongside Jaron C. Collis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jaron C. Collis Line = papers co-authored together Jaron C. Collis links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1999135
2 199951
3 199844
4 199931
5 199825
6 199924
7
ZEUS: A Collaborative Agents Toolkit
20033
8 20003
9
Building Electronic Marketplaces with the ZEUS Agent Toolkit
19981
10
Distributed Genetic Programming with mobile agents
19990

About Jaron C. Collis

Jaron C. Collis is a scholar working on Artificial Intelligence, Computer Networks and Communications, Molecular Biology, Automotive Engineering and General Health Professions, having authored 10 papers that have together received 317 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (7 papers), Mobile Agent-Based Network Management (6 papers), Semantic Web and Ontologies (3 papers), Hermeneutics and Narrative Identity (1 paper), Health, Medicine and Society (1 paper), Evolutionary Algorithms and Applications (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper) and Aging, Elder Care, and Social Issues (1 paper). The work is most often cited by research in Artificial Intelligence (234 citations), Computer Networks and Communications (162 citations), Management Information Systems (50 citations), Information Systems (92 citations) and Software (9 citations). Jaron C. Collis has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Divine T. Ndumu, Hyacinth S. Nwana and Robert Ghanea‐Hercock. Their work appears in journals such as Applied Artificial Intelligence and BT Technology 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.

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