Nir Oren

2.6k citations
160 papers · 1.9k · h-index 23

Impact in

Papers in

Nir Oren

153 papers receiving 1.8k citations

Peers

Nir Oren
Comparison fields: 5 of 86
  • Artificial Intelligence 1.4k
  • Management Information Systems 226
  • Applied Psychology 72
  • Management Science and Operations Research 155
  • Information Systems 270
Replace Mauro Dragoni with:
Mauro Dragoni Italy
M. Birna van Riemsdijk Netherlands
Abderrahim Beni‐Hssane Morocco
Vincent Wade Ireland
Nava Tintarev United Kingdom
Rafet Sifa Germany
John‐Jules Ch. Meyer Netherlands
Cataldo Musto Italy
Rama Akkiraju United States
Pınar Yolum Türkiye
Nir Oren relative to Mauro Dragoni Italy Mauro Dragoni's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nir Oren

Since Specialization
Citations

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

Fields of papers citing papers by Nir Oren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 160 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012192
2 200989
3
Opponent models with uncertainty for strategic argumentation
201365
4
Semantics for Evidence-Based Argumentation
200864
5 200963
6 201762
7 200751
8 200549
9 201947
10 201440
11 201639
12 201738
13 200232
14 201032
15 201430
16 201229
17
Supporting reasoning with different types of evidence in intelligence analysis
201529
18 201428
19 202027
20 200526

About Nir Oren

Nir Oren is a scholar working on Artificial Intelligence, Management Science and Operations Research, Management Information Systems, Sociology and Political Science and Computer Networks and Communications, having authored 160 papers that have together received 1.9k indexed citations. Recurring topics across this work include Multi-Agent Systems and Negotiation (86 papers), Logic, Reasoning, and Knowledge (75 papers), Semantic Web and Ontologies (39 papers), Access Control and Trust (24 papers), Auction Theory and Applications (17 papers), AI-based Problem Solving and Planning (13 papers), Business Process Modeling and Analysis (13 papers) and Behavioral Health and Interventions (8 papers). The work is most often cited by research in Artificial Intelligence (1.4k citations), Management Information Systems (226 citations), Applied Psychology (72 citations), Management Science and Operations Research (155 citations) and Information Systems (270 citations). Nir Oren has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Timothy J. Norman, G. Flucke, Felipe Rech Meneguzzi, Judith Masthoff, Simon Miles, Sanjay Modgil, Alun D. Preece, Federico Cerutti, Ramon Fraga Pereira and Matthias Thimm. Their work appears in journals such as Lecture notes in computer science, Artificial Intelligence, Information Systems Frontiers, Engineering Applications of Artificial Intelligence and Journal of Logic and Computation.

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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