Jürg Kohlas
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Computational Theory and Mathematics top 5%
- Computer Networks and Communications top 10%
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- Paul-André MonneySerafı́n MoralDenis LalanneRobert F. StärkPhilippe BesnardMarc PoulyBertrand MeyerAndré Schiper
- Topics
- Bayesian Modeling and Causal Inference (11 papers)Logic, Reasoning, and Knowledge (11 papers)Rough Sets and Fuzzy Logic (5 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputational Theory and Mathematics
- Journals
- European Journal of Operational ResearchAnnals of Operations ResearchTheoretical Computer Science
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Jürg Kohlas
32 papers receiving 542 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 381
- Management Science and Operations Research 143
- Computational Theory and Mathematics 119
- Computer Networks and Communications 66
- Statistics, Probability and Uncertainty 47
Countries citing papers authored by Jürg Kohlas
This map shows the geographic impact of Jürg Kohlas'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 Jürg Kohlas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jürg Kohlas more than expected).
Fields of papers citing papers by Jürg Kohlas
This network shows the impact of papers produced by Jürg Kohlas. 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 Jürg Kohlas. The network helps show where Jürg Kohlas may publish in the future.
Co-authorship network of co-authors of Jürg Kohlas
This figure shows the co-authorship network connecting the top 25 collaborators of Jürg Kohlas. A scholar is included among the top collaborators of Jürg Kohlas 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 Jürg Kohlas. Jürg Kohlas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Research Notes An Algebraic Theory of Information | 1 |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | Dependable Systems: Software, Computing, Networks: Research Results of the DICS Program (Lecture Notes in Computer Science) | 2 |
| 6 | 5 | |
| 7 | 18 | |
| 8 | 12 | |
| 9 | 51 | |
| 10 | Algorithms for uncertainty and defeasible reasoning | 23 |
| 11 | 117 | |
| 12 | 63 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 8 | |
| 16 | Zuverlässigkeit und Verfügbarkeit : Mathematische Modelle, Methoden und Algorithmen | 1 |
| 17 | 11 | |
| 18 | 36 | |
| 19 | 6 | |
| 20 | 1 |
About Jürg Kohlas
Jürg Kohlas is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computational Theory and Mathematics, having authored 32 papers that have together received 596 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (11 papers), Logic, Reasoning, and Knowledge (11 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Artificial Intelligence (381 citations), Management Science and Operations Research (143 citations) and Computational Theory and Mathematics (119 citations). Jürg Kohlas has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Paul-André Monney, Serafı́n Moral, Denis Lalanne, Robert F. Stärk, Philippe Besnard, Marc Pouly, Bertrand Meyer, André Schiper and Christine Froidevaux. Their work appears in journals such as European Journal of Operational Research, Annals of Operations Research and Theoretical Computer Science.
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.