Jan Seedorf
- Computer Networks and Communications top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Dirk KutscherFabian SchneiderSaverio NiccoliniMartin StiemerlingChristoph SorgeMayutan ArumaithuraiNicola Bléfari-MelazziAtsushi Tagami
- Topics
- Caching and Content Delivery (23 papers)Peer-to-Peer Network Technologies (14 papers)Internet Traffic Analysis and Secure E-voting (10 papers)
In The Last Decade
Jan Seedorf
35 papers receiving 309 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 285
- Artificial Intelligence 87
- Electrical and Electronic Engineering 50
- Information Systems 48
- Computer Vision and Pattern Recognition 32
Countries citing papers authored by Jan Seedorf
This map shows the geographic impact of Jan Seedorf'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 Jan Seedorf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Seedorf more than expected).
Fields of papers citing papers by Jan Seedorf
This network shows the impact of papers produced by Jan Seedorf. 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 Jan Seedorf. The network helps show where Jan Seedorf may publish in the future.
Co-authorship network of co-authors of Jan Seedorf
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Seedorf. A scholar is included among the top collaborators of Jan Seedorf 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 Jan Seedorf. Jan Seedorf 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 | 14 | |
| 3 | 17 | |
| 4 | 3 | |
| 5 | 25 | |
| 6 | 37 | |
| 7 | CDNI Request Routing: Footprint and Capabilities Semantics | 0 |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | 16 | |
| 14 | 12 | |
| 15 | VoIP SEAL: A Research Prototype for Protecting Voice-over-IP Networks and Users | 4 |
| 16 | 1 | |
| 17 | SPEERMINT Security Threats and Suggested Countermeasures | 2 |
| 18 | 8 | |
| 19 | 1 | |
| 20 | 28 |
About Jan Seedorf
Jan Seedorf is a scholar working on Computer Networks and Communications, Artificial Intelligence and Hardware and Architecture, having authored 40 papers that have together received 322 indexed citations. Recurring topics across this work include Caching and Content Delivery (23 papers), Peer-to-Peer Network Technologies (14 papers) and Internet Traffic Analysis and Secure E-voting (10 papers). The work is most often cited by research in Computer Networks and Communications (285 citations), Artificial Intelligence (87 citations) and Information Systems (48 citations). Jan Seedorf has collaborated with scholars based in Germany, Italy and Japan. Frequent co-authors include Dirk Kutscher, Fabian Schneider, Saverio Niccolini, Martin Stiemerling, Christoph Sorge, Mayutan Arumaithurai, Nicola Bléfari-Melazzi, Atsushi Tagami, Renato Lo Cigno and Alexander Afanasyev. Their work appears in journals such as IEEE Communications Magazine, IEEE Network and Computer Communications.
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.