Jürg Kohlas

116 total papers · 1.5k total citations
32 papers, 597 citations indexed

About

Jürg Kohlas is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Jürg Kohlas has authored 32 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computer Networks and Communications and 5 papers in Computational Theory and Mathematics. Recurrent topics in Jürg Kohlas's work include Logic, Reasoning, and Knowledge (11 papers), Bayesian Modeling and Causal Inference (11 papers) and AI-based Problem Solving and Planning (5 papers). Jürg Kohlas is often cited by papers focused on Logic, Reasoning, and Knowledge (11 papers), Bayesian Modeling and Causal Inference (11 papers) and AI-based Problem Solving and Planning (5 papers). Jürg Kohlas collaborates with scholars based in Switzerland, Germany and United States. Jürg Kohlas's co-authors include Paul-André Monney, Serafı́n Moral, Denis Lalanne, Robert F. Stärk, Philippe Besnard, Marc Pouly, André Schiper, Christine Froidevaux, Bertrand Meyer and Kurt Bauknecht and has published in prestigious journals such as European Journal of Operational Research, Annals of Operations Research and Theoretical Computer Science.

In The Last Decade

Jürg Kohlas

32 papers receiving 540 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jürg Kohlas	383	143	119	66	47	32	597
Rolf Haenni	415 1.1×	161 1.1×	97 0.8×	70 1.1×	24 0.5×	45	554
Marco Valtorta	330 0.9×	86 0.6×	62 0.5×	93 1.4×	34 0.7×	51	527
Johan Schubert	341 0.9×	236 1.7×	86 0.7×	67 1.0×	32 0.7×	51	544
Renato Bruni	149 0.4×	215 1.5×	77 0.6×	48 0.7×	18 0.4×	54	610
Yi Yang	277 0.7×	222 1.6×	96 0.8×	38 0.6×	52 1.1×	34	535
Kuang Zhou	277 0.7×	78 0.5×	62 0.5×	30 0.5×	104 2.2×	34	581
Jie Zhao	190 0.5×	123 0.9×	48 0.4×	56 0.8×	29 0.6×	19	530
Jack Breese	370 1.0×	97 0.7×	39 0.3×	54 0.8×	31 0.7×	15	568
P. Vannoorenberghe	292 0.8×	183 1.3×	124 1.0×	40 0.6×	40 0.9×	24	502
Lipeng Pan	305 0.8×	301 2.1×	141 1.2×	39 0.6×	50 1.1×	26	544

Countries citing papers authored by Jürg Kohlas

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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