J.L. Top

59 papers receiving 732 citations

Peers

J.L. Top
Comparison fields: 5 of 112
  • Artificial Intelligence 396
  • Software 41
  • Management Information Systems 85
  • Information Systems and Management 61
  • Information Systems 176
Replace Cristian Mateos with:
Cristian Mateos Argentina
Alessio Bechini Italy
Kerry Taylor Australia
Waterman United States
Marie-Laure Mugnier France
Armin Haller Australia
Shawn R. Jeffery United States
Alejandro Zunino Argentina
María Poveda‐Villalón Spain
Michael Schrefl Austria
J.L. Top relative to Cristian Mateos Argentina Cristian Mateos's profile →
Citations per field
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Cristian Mateos · 1×
Citations per year

Countries citing papers authored by J.L. Top

Since Specialization
Citations

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

Fields of papers citing papers by J.L. Top

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.L. Top. 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 J.L. Top. The network helps show where J.L. Top may publish in the future.

Co-authors

The 25 scholars most cited alongside J.L. Top, 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 J.L. Top Line = papers co-authored together J.L. Top links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997218
2 2013116
3 202287
4 201048
5
Variable Causality in Bond Graphs Caused by Discrete Effects
199228
6 202227
7 199826
8
The PhysSys Ontology for Physical Systems
199521
9 201119
10 199418
11 200717
12 199113
13 200613
14 202012
15 202311
16 201711
17 200211
18 19969
19
Structure and use of a library for physical systems models
19958
20
Food informatics : sharing food knowledge for research and development
20057

About J.L. Top

J.L. Top is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Information Systems and Management and Management Science and Operations Research, having authored 65 papers that have together received 837 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (19 papers), Advanced Database Systems and Queries (8 papers), Scientific Computing and Data Management (8 papers), Modeling and Simulation Systems (6 papers), Control and Stability of Dynamical Systems (6 papers), Simulation Techniques and Applications (6 papers), Service-Oriented Architecture and Web Services (5 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Artificial Intelligence (396 citations), Software (41 citations), Management Information Systems (85 citations), Information Systems and Management (61 citations) and Information Systems (176 citations). J.L. Top has collaborated with scholars based in Netherlands, Sweden and Ireland. Frequent co-authors include Hans Akkermans, H. Rijgersberg, Mark van Assem, Ulf Söderman, A.J. Haverkort, J.M. Akkermans, Jan F. Broenink, H.J. van der Fels‐Klerx, R.F. Veerkamp and Willem Jan Knibbe. Their work appears in journals such as International Journal of Human-Computer Studies, Computers and Electronics in Agriculture, Potato Research, Journal of Nutritional Science and Advanced Engineering Informatics.

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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