Stefan Behnel
Impact in
- Instrumentation top 10%
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
Papers in
-
- Peer-to-Peer Network Technologies 4
- Caching and Content Delivery 3
- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 2
-
- Computational Physics and Python Applications 2
- Co-authors
- D. S. Seljebotn (2 shared papers)Robert Bradshaw (2 shared papers)Craig Citro (1 shared paper)Kurt Smith (1 shared paper)Lisandro Dalcín (1 shared paper)Ludger Fiege (3 shared papers)Alejandro Buchmann (2 shared papers)Wesley W. Terpstra (2 shared papers)
- Journals
- Computing in Science & Engineering (1 paper)Proceedings of the Python in Science Conferences (1 paper)TUbilio (Technical University of Darmstadt) (1 paper)
- Partner nations
- GermanyNorwayUnited States
In The Last Decade
Stefan Behnel
5 papers receiving 800 citations
Stefan Behnel's Hit Papers
Peers
Comparison fields: 5 of 118
- Instrumentation 40
- Hardware and Architecture 77
- Computer Networks and Communications 205
- Astronomy and Astrophysics 141
- Artificial Intelligence 163
Countries citing papers authored by Stefan Behnel
This map shows the geographic impact of Stefan Behnel'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 Stefan Behnel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Behnel more than expected).
Fields of papers citing papers by Stefan Behnel
This network shows the impact of papers produced by Stefan Behnel. 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 Stefan Behnel. The network helps show where Stefan Behnel may publish in the future.
Co-authors
The 10 scholars most cited alongside Stefan Behnel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Cython: The Best of Both Worlds Hit paper breakdown → | 2010 | 719 |
| 2 | 2003 | 108 | |
| 3 | 2006 | 32 | |
| 4 | 2003 | 6 | |
| 5 | 2009 | 4 | |
| 6 | 2007 | 0 |
About Stefan Behnel
Stefan Behnel is a scholar working on Computer Networks and Communications, Artificial Intelligence, Hardware and Architecture, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 869 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (4 papers), Caching and Content Delivery (3 papers), Distributed and Parallel Computing Systems (3 papers), Computational Physics and Python Applications (2 papers), Advanced Data Storage Technologies (2 papers) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Instrumentation (40 citations), Hardware and Architecture (77 citations), Computer Networks and Communications (205 citations), Astronomy and Astrophysics (141 citations) and Artificial Intelligence (163 citations). Stefan Behnel has collaborated with scholars based in Germany, Norway and United States. Frequent co-authors include D. S. Seljebotn, Robert Bradshaw, Craig Citro, Kurt Smith, Lisandro Dalcín, Ludger Fiege, Alejandro Buchmann, Wesley W. Terpstra, Andreas Zeidler and Gero Mühl. Their work appears in journals such as Computing in Science & Engineering, Proceedings of the Python in Science Conferences and TUbilio (Technical University of Darmstadt).
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.