Rogier M. van Eijk

614 citations
38 papers · 466 · h-index 12

Impact in

Papers in

Rogier M. van Eijk

37 papers receiving 426 citations

Peers

Rogier M. van Eijk
Comparison fields: 5 of 44
  • Artificial Intelligence 425
  • Management Information Systems 45
  • Information Systems 103
  • Management Science and Operations Research 39
  • Computer Networks and Communications 71
Replace Marcelo Alejandro Falappa with:
Marcelo Alejandro Falappa Argentina
Heather Holmback United States
Christopher Walton United Kingdom
Olli Alm Finland
Antonio A. Sánchez‐Ruiz Spain
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Yuting Zhao United Kingdom
Yashvardhan Sharma India
Riyad Al–Shalabi Jordan
Changxuan Wan China
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Citations per year

Countries citing papers authored by Rogier M. van Eijk

Since Specialization
Citations

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

Fields of papers citing papers by Rogier M. van Eijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rogier M. van Eijk. 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 Rogier M. van Eijk. The network helps show where Rogier M. van Eijk may publish in the future.

Co-authors

The 14 scholars most cited alongside Rogier M. van Eijk, 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 Rogier M. van Eijk Line = papers co-authored together Rogier M. van Eijk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003125
2 200639
3 200127
4 200322
5 200722
6 200421
7 200520
8 200020
9 200019
10 199916
11 200315
12 200714
13 200311
14
Systems of Communicating Agents.
199810
15 20069
16 20009
17 20098
18 20048
19 20016
20 20085

About Rogier M. van Eijk

Rogier M. van Eijk is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems and Information Systems and Management, having authored 38 papers that have together received 466 indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (28 papers), Semantic Web and Ontologies (20 papers), Logic, Reasoning, and Knowledge (16 papers), Context-Aware Activity Recognition Systems (5 papers), Speech and dialogue systems (5 papers), Service-Oriented Architecture and Web Services (4 papers), Mobile Agent-Based Network Management (3 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (425 citations), Management Information Systems (45 citations), Information Systems (103 citations), Management Science and Operations Research (39 citations) and Computer Networks and Communications (71 citations). Rogier M. van Eijk has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include John‐Jules Ch. Meyer, Frank S. de Boer, Wiebe van der Hoek, Peter McBurney, Leïla Amgoud, Simon Parsons, Robbert‐Jan Beun, Frank Dignum, Jurriaan van Diggelen and R.J. Beun. Their work appears in journals such as Autonomous Agents and Multi-Agent Systems, Applied Ontology, Lecture notes in computer science, Theoretical Computer Science and Journal of Logic Language and Information.

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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