J. Kohlas
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Statistics and Probability top 5%
- Co-authors
- Fred C. SchweppeA. FiechterE. HandschinPaul-André MonneyW. D. RayRolf HaenniNic WilsonJacques Pasquier
- Topics
- Bayesian Modeling and Causal Inference (5 papers)AI-based Problem Solving and Planning (4 papers)Logic, Reasoning, and Knowledge (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Automatic ControlEuropean Journal of Operational Research
- Partner nations
- SwitzerlandGermanyUnited Kingdom
In The Last Decade
J. Kohlas
16 papers receiving 560 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Electrical and Electronic Engineering 299
- Control and Systems Engineering 275
- Artificial Intelligence 145
- Computer Networks and Communications 130
- Statistics and Probability 67
Countries citing papers authored by J. Kohlas
This map shows the geographic impact of J. 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 J. Kohlas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Kohlas more than expected).
Fields of papers citing papers by J. Kohlas
This network shows the impact of papers produced by J. 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 J. Kohlas. The network helps show where J. Kohlas may publish in the future.
Co-authorship network of co-authors of J. Kohlas
This figure shows the co-authorship network connecting the top 25 collaborators of J. Kohlas. A scholar is included among the top collaborators of J. 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 J. Kohlas. J. 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 | 1 | |
| 2 | 19 | |
| 3 | 6 | |
| 4 | 14 | |
| 5 | 31 | |
| 6 | 26 | |
| 7 | 19 | |
| 8 | 19 | |
| 9 | 29 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 4 | |
| 15 | Bad data analysis for power system state estimationbreakdown → | 424 |
| 16 | 7 |
About J. Kohlas
J. Kohlas is a scholar working on Software, Artificial Intelligence and Industrial and Manufacturing Engineering, having authored 16 papers that have together received 610 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (5 papers), AI-based Problem Solving and Planning (4 papers) and Logic, Reasoning, and Knowledge (2 papers). The work is most often cited by research in Control and Systems Engineering (275 citations), Statistics and Probability (67 citations) and Software (27 citations). J. Kohlas has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include Fred C. Schweppe, A. Fiechter, E. Handschin, Paul-André Monney, W. D. Ray, Rolf Haenni, Nic Wilson, Jacques Pasquier and Elart von Collani. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and European Journal of Operational 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.