Ofer Arieli

1.8k citations
109 papers · 1.3k · h-index 18

Impact in

Papers in

Ofer Arieli

102 papers receiving 1.2k citations

Peers

Ofer Arieli
Comparison fields: 5 of 47
  • Artificial Intelligence 1.2k
  • Computational Theory and Mathematics 595
  • Computer Networks and Communications 160
  • Management Science and Operations Research 70
  • Signal Processing 61
Replace Luís Fariñas del Cerro with:
Luís Fariñas del Cerro France
James P. Delgrande Canada
Valentin Goranko South Africa
Thomas Ågotnes Norway
Paolo Mancarella Italy
Holger Sturm Germany
Laura Giordano Italy
Rajeev Goré Australia
R. Ramanujam India
Chris Brink South Africa
Ofer Arieli relative to Luís Fariñas del Cerro France Luís Fariñas del Cerro's profile →
Citations per field
00.5×6.3×
Luís Fariñas del Cerro · 1×
Citations per year

Countries citing papers authored by Ofer Arieli

Since Specialization
Citations

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

Fields of papers citing papers by Ofer Arieli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ofer Arieli. 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 Ofer Arieli. The network helps show where Ofer Arieli may publish in the future.

Co-authors

The 15 scholars most cited alongside Ofer Arieli, 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 Ofer Arieli Line = papers co-authored together Ofer Arieli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996199
2 1998187
3 201145
4 201537
5 200333
6 201031
7 200229
8 201728
9 201327
10 200726
11 200026
12 201526
13 200725
14 200424
15 200822
16 200421
17 200219
18 200718
19 201517
20 201217

About Ofer Arieli

Ofer Arieli is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Signal Processing and Management Science and Operations Research, having authored 109 papers that have together received 1.3k indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (98 papers), Semantic Web and Ontologies (60 papers), Multi-Agent Systems and Negotiation (45 papers), Advanced Algebra and Logic (31 papers), Logic, programming, and type systems (23 papers), Advanced Database Systems and Queries (10 papers), Rough Sets and Fuzzy Logic (7 papers) and Data Management and Algorithms (7 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computational Theory and Mathematics (595 citations), Computer Networks and Communications (160 citations), Management Science and Operations Research (70 citations) and Signal Processing (61 citations). Ofer Arieli has collaborated with scholars based in Israel, Germany and Belgium. Frequent co-authors include Arnon Avron, Christian Straßer, Marc Denecker, Anna Zamansky, Maurice Bruynooghe, Bert Van Nuffelen, Martin Caminada, Álvaro Cortés-Calabuig, Chris Cornelis and Glad Deschrijver. Their work appears in journals such as International Journal of Approximate Reasoning, Journal of Logic and Computation, Studia Logica, Journal of Applied Logic and Artificial Intelligence.

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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