Martin Hofmann
- Artificial Intelligence top 5%
- Biomedical Engineering
- Atomic and Molecular Physics, and Optics top 10%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Co-authors
- Otfried GühneTobias KnoppTobias MoroderBenjamin C. PierceJean-Daniel BancalYeong-Cherng LiangAndreas OsterlohKlaus Aehlig
- Topics
- AI-based Problem Solving and Planning (7 papers)Logic, programming, and type systems (7 papers)Logic, Reasoning, and Knowledge (6 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Martin Hofmann
46 papers receiving 807 citations
Peers
Comparison fields: 5 of 81
- Artificial Intelligence 437
- Biomedical Engineering 254
- Atomic and Molecular Physics, and Optics 235
- Molecular Biology 195
- Computational Theory and Mathematics 151
Countries citing papers authored by Martin Hofmann
This map shows the geographic impact of Martin Hofmann'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 Martin Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Hofmann more than expected).
Fields of papers citing papers by Martin Hofmann
This network shows the impact of papers produced by Martin Hofmann. 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 Martin Hofmann. The network helps show where Martin Hofmann may publish in the future.
Co-authorship network of co-authors of Martin Hofmann
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Hofmann. A scholar is included among the top collaborators of Martin Hofmann 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 Martin Hofmann. Martin Hofmann 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 | 43 | |
| 3 | 14 | |
| 4 | 68 | |
| 5 | 0 | |
| 6 | 67 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | Device-independent entanglement quantification | 1 |
| 10 | 121 | |
| 11 | 3 | |
| 12 | Proceedings of the 14th international conference on Foundations of software science and computational structures: part of the joint European conferences on theory and practice of software | 2 |
| 13 | 9 | |
| 14 | 8 | |
| 15 | 23 | |
| 16 | 28 | |
| 17 | 0 | |
| 18 | 0 | |
| 19 | Multi-Sensor Track Classification in Rotorcraft Pilot's Associate Data Fusion | 4 |
| 20 | 3 |
About Martin Hofmann
Martin Hofmann is a scholar working on Software, Artificial Intelligence and Computational Theory and Mathematics, having authored 52 papers that have together received 842 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (7 papers), Logic, programming, and type systems (7 papers) and Logic, Reasoning, and Knowledge (6 papers). The work is most often cited by research in Artificial Intelligence (437 citations), Software (43 citations) and Computational Theory and Mathematics (151 citations). Martin Hofmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Otfried Gühne, Tobias Knopp, Tobias Moroder, Benjamin C. Pierce, Jean-Daniel Bancal, Yeong-Cherng Liang, Andreas Osterloh, Klaus Aehlig, Jan Hoffmann and Johannes Salamon. Their work appears in journals such as Physical Review Letters, PLoS ONE and Physical Review B.
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.