Ugur Kuter
- Artificial Intelligence top 1%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Sociology and Political Science top 10%
- Co-authors
- Dana NauJennifer GolbeckDaichao WuOkhtay IlghamiFusun YamanJaimie MurdockTsz-Chiu AuRon Alford
- Topics
- AI-based Problem Solving and Planning (34 papers)Logic, Reasoning, and Knowledge (25 papers)Semantic Web and Ontologies (15 papers)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
Ugur Kuter
44 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Artificial Intelligence 1.2k
- Information Systems 408
- Computer Networks and Communications 323
- Computer Vision and Pattern Recognition 190
- Sociology and Political Science 171
Countries citing papers authored by Ugur Kuter
This map shows the geographic impact of Ugur Kuter'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 Ugur Kuter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ugur Kuter more than expected).
Fields of papers citing papers by Ugur Kuter
This network shows the impact of papers produced by Ugur Kuter. 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 Ugur Kuter. The network helps show where Ugur Kuter may publish in the future.
Co-authorship network of co-authors of Ugur Kuter
This figure shows the co-authorship network connecting the top 25 collaborators of Ugur Kuter. A scholar is included among the top collaborators of Ugur Kuter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ugur Kuter. Ugur Kuter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Computational Mechanisms to Support Reporting of Self Confidence of Automated/Autonomous Systems. | 3 |
| 2 | 8 | |
| 3 | The GoDeL planning system: a more perfect union of domain-independent and hierarchical planning | 29 |
| 4 | 5 | |
| 5 | 27 | |
| 6 | 5 | |
| 7 | Real-Time Planning for Covering an Initially-Unknown Spatial Environment | 14 |
| 8 | Learning hierarchical task networks for nondeterministic planning domains | 20 |
| 9 | Translating HTNs to PDDL: a small amount of domain knowledge can go a long way | 39 |
| 10 | 2 | |
| 11 | HTN-MAKER: learning HTNs with minimal additional knowledge engineering required | 53 |
| 12 | Combining Heuristic Search with Hierarchical Task-Network Planning: A Preliminary Report | 7 |
| 13 | 36 | |
| 14 | 22 | |
| 15 | SUNNY: a new algorithm for trust inference in social networks using probabilistic confidence models | 150 |
| 16 | Learning constraints via demonstration for safe planning | 3 |
| 17 | Controlled search over compact state representations, in nondeterministic planning domains and beyond | 0 |
| 18 | A hierarchical task-network planner based on Symbolic Model Checking | 21 |
| 19 | Using domain-configurable search control for probabilistic planning | 12 |
| 20 | Forward-chaining planning in nondeterministic domains | 33 |
About Ugur Kuter
Ugur Kuter is a scholar working on Artificial Intelligence, Software and Information Systems, having authored 48 papers that have together received 1.4k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (34 papers), Logic, Reasoning, and Knowledge (25 papers) and Semantic Web and Ontologies (15 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Software (77 citations) and Information Systems (408 citations). Ugur Kuter has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Dana Nau, Jennifer Golbeck, Daichao Wu, Okhtay Ilghami, Fusun Yaman, Jaimie Murdock, Tsz-Chiu Au, Ron Alford, Héctor Muñoz‐Avila and Robert P. Goldman. Their work appears in journals such as Artificial Intelligence, IEEE Intelligent Systems and Journal of Artificial Intelligence Research.
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.