Jan Johannsen
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Geometry and Topology
- Experimental and Cognitive Psychology
- Co-authors
- Marı́a Luisa BonetNicola GalesiJuan Luis EstebanAlasdair UrquhartToniann PitassiMichael AlekhnovichKlaus AehligSeamus Ross
- Topics
- Logic, programming, and type systems (9 papers)semigroups and automata theory (7 papers)Formal Methods in Verification (7 papers)
- Journals
- SIAM Journal on ComputingJournal of Artificial Intelligence ResearchJournal of Automated Reasoning
- Partner nations
- GermanyUnited StatesSpain
In The Last Decade
Jan Johannsen
20 papers receiving 161 citations
Peers
Comparison fields: 5 of 24
- Computational Theory and Mathematics 155
- Artificial Intelligence 135
- Computer Networks and Communications 33
- Geometry and Topology 11
- Experimental and Cognitive Psychology 9
Countries citing papers authored by Jan Johannsen
This map shows the geographic impact of Jan Johannsen'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 Jan Johannsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Johannsen more than expected).
Fields of papers citing papers by Jan Johannsen
This network shows the impact of papers produced by Jan Johannsen. 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 Jan Johannsen. The network helps show where Jan Johannsen may publish in the future.
Co-authorship network of co-authors of Jan Johannsen
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Johannsen. A scholar is included among the top collaborators of Jan Johannsen 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 Jan Johannsen. Jan Johannsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | Exponential Incomparability of Tree-like and Ordered Resolution | 2 |
| 4 | 22 | |
| 5 | 3 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | 22 | |
| 15 | 7 | |
| 16 | 8 | |
| 17 | 53 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 3 |
About Jan Johannsen
Jan Johannsen is a scholar working on Computational Theory and Mathematics, Geometry and Topology and Artificial Intelligence, having authored 21 papers that have together received 185 indexed citations. Recurring topics across this work include Logic, programming, and type systems (9 papers), semigroups and automata theory (7 papers) and Formal Methods in Verification (7 papers). The work is most often cited by research in Computational Theory and Mathematics (155 citations), Artificial Intelligence (135 citations) and Software (9 citations). Jan Johannsen has collaborated with scholars based in Germany, United States and Spain. Frequent co-authors include Marı́a Luisa Bonet, Nicola Galesi, Juan Luis Esteban, Alasdair Urquhart, Toniann Pitassi, Michael Alekhnovich, Klaus Aehlig, Seamus Ross, Sam Buss and Martin Lange. Their work appears in journals such as SIAM Journal on Computing, Journal of Artificial Intelligence Research and Journal of Automated Reasoning.
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.