Matthias Dehmer
- Computational Theory and Mathematics top 0.1%
- Geometry and Topology top 0.1%
- Molecular Biology top 5%
- Statistical and Nonlinear Physics top 0.5%
- Artificial Intelligence top 1%
- Co-authors
- Frank Emmert‐StreibAbbe MowshowitzYongtang ShiShailesh TripathiZengqiang ChenBenjamin Haibe‐KainsКурт ВармузаOlli Yli‐Harja
- Topics
- Graph theory and applications (94 papers)Complex Network Analysis Techniques (80 papers)Computational Drug Discovery Methods (74 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
In The Last Decade
Matthias Dehmer
263 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Computational Theory and Mathematics 2.3k
- Geometry and Topology 1.9k
- Molecular Biology 1.7k
- Statistical and Nonlinear Physics 1.4k
- Artificial Intelligence 1.0k
Countries citing papers authored by Matthias Dehmer
This map shows the geographic impact of Matthias Dehmer'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 Matthias Dehmer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthias Dehmer more than expected).
Fields of papers citing papers by Matthias Dehmer
This network shows the impact of papers produced by Matthias Dehmer. 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 Matthias Dehmer. The network helps show where Matthias Dehmer may publish in the future.
Co-authorship network of co-authors of Matthias Dehmer
This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Dehmer. A scholar is included among the top collaborators of Matthias Dehmer 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 Matthias Dehmer. Matthias Dehmer 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 | 8 | |
| 3 | 15 | |
| 4 | 7 | |
| 5 | 28 | |
| 6 | 145 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 16 | |
| 10 | 15 | |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 5 | |
| 16 | 15 | |
| 17 | 4 | |
| 18 | 160 | |
| 19 | 31 | |
| 20 | Relations Between the Topological Complexities of Complex Networks. | 0 |
About Matthias Dehmer
Matthias Dehmer is a scholar working on Geometry and Topology, Computational Theory and Mathematics and Statistical and Nonlinear Physics, having authored 273 papers that have together received 6.9k indexed citations. Recurring topics across this work include Graph theory and applications (94 papers), Complex Network Analysis Techniques (80 papers) and Computational Drug Discovery Methods (74 papers). The work is most often cited by research in Geometry and Topology (1.9k citations), Computational Theory and Mathematics (2.3k citations) and Statistical and Nonlinear Physics (1.4k citations). Matthias Dehmer has collaborated with scholars based in Austria, China and Finland. Frequent co-authors include Frank Emmert‐Streib, Abbe Mowshowitz, Yongtang Shi, Shailesh Tripathi, Zengqiang Chen, Benjamin Haibe‐Kains, Курт Вармуза, Olli Yli‐Harja, Zhen Yang and Shujuan Cao. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.