Uwe Thaden
Impact in
- Signal Processing top 10%
- Data Management and Algorithms
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- Peer-to-Peer Network Technologies
- Caching and Content Delivery
- Advanced Database Systems and Queries
- Opportunistic and Delay-Tolerant Networks
- Energy Efficient Wireless Sensor Networks
Papers in
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- Peer-to-Peer Network Technologies 2
- Caching and Content Delivery 1
- Advanced Database Systems and Queries 1
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- Data Management and Algorithms 2
- Co-authors
- Wolf‐Tilo Balke (3 shared papers)Wolf Siberski (3 shared papers)Wolfgang Nejdl (3 shared papers)Jörg Diederich (1 shared paper)Felix Naumann (1 shared paper)Alexander Löser (1 shared paper)Friedrich Steimann (1 shared paper)
- Journals
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
- Partner nations
- GermanyUnited States
In The Last Decade
Uwe Thaden
5 papers receiving 111 citations
Peers
Comparison fields: 5 of 19
- Signal Processing 57
- Computer Networks and Communications 99
- Information Systems 35
- Artificial Intelligence 32
- Computer Vision and Pattern Recognition 13
Countries citing papers authored by Uwe Thaden
This map shows the geographic impact of Uwe Thaden'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 Uwe Thaden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Uwe Thaden more than expected).
Fields of papers citing papers by Uwe Thaden
This network shows the impact of papers produced by Uwe Thaden. 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 Uwe Thaden. The network helps show where Uwe Thaden may publish in the future.
Co-authors
The 7 scholars most cited alongside Uwe Thaden, 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 | 2005 | 99 | |
| 2 | 2007 | 22 | |
| 3 | Semantic Overlay Clusters within Super-Peer Networks | 2003 | 5 |
| 4 | Caching for improved retrieval in peer-to-peer networks | 2005 | 2 |
| 5 | Animiertes UML als Medium für die Didaktik der objektorientierten Programmierung | 2002 | 1 |
About Uwe Thaden
Uwe Thaden is a scholar working on Computer Networks and Communications, Signal Processing, General Health Professions, Information Systems and Artificial Intelligence, having authored 5 papers that have together received 129 indexed citations. Recurring topics across this work include Data Management and Algorithms (2 papers), Peer-to-Peer Network Technologies (2 papers), Hermeneutics and Narrative Identity (1 paper), Semantic Web and Ontologies (1 paper), Caching and Content Delivery (1 paper), Educational Games and Gamification (1 paper), Health, Medicine and Society (1 paper) and Advanced Database Systems and Queries (1 paper). The work is most often cited by research in Signal Processing (57 citations), Computer Networks and Communications (99 citations), Information Systems (35 citations), Artificial Intelligence (32 citations) and Computer Vision and Pattern Recognition (13 citations). Uwe Thaden has collaborated with scholars based in Germany and United States. Frequent co-authors include Wolf‐Tilo Balke, Wolf Siberski, Wolfgang Nejdl, Jörg Diederich, Felix Naumann, Alexander Löser and Friedrich Steimann. Their work appears in journals such as Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.