Aybüke Özgün

455 citations
19 papers · 124 · h-index 7

Impact in

Papers in

    • Logic, Reasoning, and Knowledge 16
    • Multi-Agent Systems and Negotiation 6
    • Bayesian Modeling and Causal Inference 5
    • Machine Learning and Algorithms 2
    • Semantic Web and Ontologies 2
    • Advanced Algebra and Logic 10
    • Computability, Logic, AI Algorithms 3

Aybüke Özgün

17 papers receiving 118 citations

Peers

Aybüke Özgün
Comparison fields: 5 of 14
  • Philosophy 45
  • Computational Theory and Mathematics 54
  • Artificial Intelligence 108
  • General Decision Sciences 2
  • Experimental and Cognitive Psychology 11
Replace Tomohiro Hoshi with:
Tomohiro Hoshi United States
Andr� Fuhrmann Germany
Jan A. Plaza United States
B. van Linder Netherlands
Sten Lindström Sweden
Bryan Renne Netherlands
Roman Kuznets Switzerland
Wim Veldman Netherlands
Kai Brünnler Germany
João Marcos Brazil
Aybüke Özgün relative to Tomohiro Hoshi United States Tomohiro Hoshi's profile →
Citations per field
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Tomohiro Hoshi · 1×
Citations per year

Countries citing papers authored by Aybüke Özgün

Since Specialization
Citations

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

Fields of papers citing papers by Aybüke Özgün

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Aybüke Özgün, 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 Aybüke Özgün Line = papers co-authored together Aybüke Özgün links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 201925
2 201817
3 202014
4 202111
5 20168
6 20177
7 20236
8 20195
9 20195
10
TOPOLOGICAL MODELS FOR BELIEF AND BELIEF REVISION
20135
11 20224
12 20224
13 20224
14 20224
15 20233
16 20171
17 20231
18
Topological Subset Space Models for Belief.
20160
19 20250

About Aybüke Özgün

Aybüke Özgün is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Philosophy, Computer Vision and Pattern Recognition and Safety Research, having authored 19 papers that have together received 124 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (16 papers), Advanced Algebra and Logic (10 papers), Multi-Agent Systems and Negotiation (6 papers), Bayesian Modeling and Causal Inference (5 papers), Epistemology, Ethics, and Metaphysics (4 papers), Computability, Logic, AI Algorithms (3 papers), Machine Learning and Algorithms (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Philosophy (45 citations), Computational Theory and Mathematics (54 citations), Artificial Intelligence (108 citations), General Decision Sciences (2 citations) and Experimental and Cognitive Psychology (11 citations). Aybüke Özgün has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Francesco Berto, Alexandru Baltag, Sonja Smets, Nick Bezhanishvili, Hans van Ditmarsch, A. J. Cotnoir and Ronald de Haan. Their work appears in journals such as Journal of Philosophical Logic, The Review of Symbolic Logic, Synthese, Journal of Logical and Algebraic Methods in Programming and Erkenntnis.

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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