Michael Svendsen
Impact in
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- Caching and Content Delivery
- Peer-to-Peer Network Technologies
- Distributed and Parallel Computing Systems
- Network Traffic and Congestion Control
- Advanced Data Storage Technologies
- Distributed systems and fault tolerance
- Information Systems top 2%
- Cloud Computing and Resource Management
Papers in
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- Peer-to-Peer Network Technologies 3
- Caching and Content Delivery 3
- Advanced Data Storage Technologies 3
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- Video Analysis and Summarization 1
- Co-authors
- Peter Druschel (3 shared papers)Mohit Aron (3 shared papers)Erich Nahum (3 shared papers)Willy Zwaenepoel (3 shared papers)Vivek S. Pai (3 shared papers)Srikanta Tirthapura (2 shared papers)Nick Koudas (1 shared paper)Albert Angel (1 shared paper)
- Journals
- Journal of Parallel and Distributed Computing (1 paper)ACM SIGPLAN Notices (1 paper)The VLDB Journal (1 paper)ACM SIGOPS Operating Systems Review (1 paper)Infoscience (Ecole Polytechnique Fédérale de Lausanne) (1 paper)
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Michael Svendsen
5 papers receiving 669 citations
Peers
Comparison fields: 5 of 31
- Computer Networks and Communications 628
- Information Systems 279
- Hardware and Architecture 65
- Statistical and Nonlinear Physics 49
- Artificial Intelligence 93
Countries citing papers authored by Michael Svendsen
This map shows the geographic impact of Michael Svendsen'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 Svendsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Svendsen more than expected).
Fields of papers citing papers by Michael Svendsen
This network shows the impact of papers produced by Michael Svendsen. 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 Svendsen. The network helps show where Michael Svendsen may publish in the future.
Co-authors
The 10 scholars most cited alongside Michael Svendsen, 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 | 1998 | 362 | |
| 2 | 1998 | 231 | |
| 3 | 2013 | 76 | |
| 4 | 2014 | 29 | |
| 5 | 1998 | 21 |
About Michael Svendsen
Michael Svendsen is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Statistical and Nonlinear Physics and Signal Processing, having authored 5 papers that have together received 719 indexed citations. Recurring topics across this work include Peer-to-Peer Network Technologies (3 papers), Caching and Content Delivery (3 papers), Advanced Data Storage Technologies (3 papers), Video Analysis and Summarization (1 paper), Advanced Graph Neural Networks (1 paper), Complex Network Analysis Techniques (1 paper), Data Mining Algorithms and Applications (1 paper) and Music and Audio Processing (1 paper). The work is most often cited by research in Computer Networks and Communications (628 citations), Information Systems (279 citations), Hardware and Architecture (65 citations), Statistical and Nonlinear Physics (49 citations) and Artificial Intelligence (93 citations). Michael Svendsen has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Peter Druschel, Mohit Aron, Erich Nahum, Willy Zwaenepoel, Vivek S. Pai, Srikanta Tirthapura, Nick Koudas, Albert Angel, Nikos Sarkas and Divesh Srivastava. Their work appears in journals such as Journal of Parallel and Distributed Computing, ACM SIGPLAN Notices, The VLDB Journal, ACM SIGOPS Operating Systems Review and Infoscience (Ecole Polytechnique Fédérale de Lausanne).
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.