Michael Hofmann
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Statistical and Nonlinear Physics top 10%
- Modeling and Simulation top 5%
- Co-authors
- Dariu M. GavrilaIgor M. SokolovAleksei V. ChechkinGudula RüngerLiang GouLiu RenNanxiang LiJohann Großschädl
- Topics
- Advanced Data Storage Technologies (8 papers)Parallel Computing and Optimization Techniques (8 papers)Distributed and Parallel Computing Systems (6 papers)
- Journals
- Physical Review AInternational Journal of Computer VisionIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- GermanyAustriaNetherlands
In The Last Decade
Michael Hofmann
28 papers receiving 377 citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 137
- Computer Networks and Communications 86
- Artificial Intelligence 69
- Statistical and Nonlinear Physics 51
- Modeling and Simulation 48
Countries citing papers authored by Michael Hofmann
This map shows the geographic impact of Michael 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 Michael Hofmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Hofmann more than expected).
Fields of papers citing papers by Michael Hofmann
This network shows the impact of papers produced by Michael 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 Michael Hofmann. The network helps show where Michael Hofmann may publish in the future.
Co-authorship network of co-authors of Michael Hofmann
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Hofmann. A scholar is included among the top collaborators of Michael 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 Michael Hofmann. Michael 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 | 46 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 40 | |
| 9 | 6 | |
| 10 | 1 | |
| 11 | 57 | |
| 12 | 4 | |
| 13 | 3 | |
| 14 | 61 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 2 | |
| 18 | 72 | |
| 19 | 24 | |
| 20 | 2 |
About Michael Hofmann
Michael Hofmann is a scholar working on Hardware and Architecture, Computer Networks and Communications and Statistical and Nonlinear Physics, having authored 29 papers that have together received 394 indexed citations. Recurring topics across this work include Advanced Data Storage Technologies (8 papers), Parallel Computing and Optimization Techniques (8 papers) and Distributed and Parallel Computing Systems (6 papers). The work is most often cited by research in Modeling and Simulation (48 citations), Computer Vision and Pattern Recognition (137 citations) and Hardware and Architecture (42 citations). Michael Hofmann has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Dariu M. Gavrila, Igor M. Sokolov, Aleksei V. Chechkin, Gudula Rünger, Liang Gou, Liu Ren, Nanxiang Li, Johann Großschädl, Stefan Tillich and Marcel Medwed. Their work appears in journals such as Physical Review A, International Journal of Computer Vision and IEEE Transactions on Visualization and Computer Graphics.
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.