Sven Buchholz
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Applied Mathematics top 5%
- Co-authors
- Gerald SommerAlexander SchillAlbert HeldNicolas Le BihanThomas A. BuchholzTohru NittaEckhard HitzerIsseki Yu
- Topics
- Service-Oriented Architecture and Web Services (5 papers)Neural Networks and Applications (5 papers)Peer-to-Peer Network Technologies (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsApplied Mathematics
- Partner nations
- GermanyJapanUnited States
In The Last Decade
Sven Buchholz
21 papers receiving 392 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 173
- Computer Networks and Communications 163
- Artificial Intelligence 156
- Information Systems 77
- Applied Mathematics 64
Countries citing papers authored by Sven Buchholz
This map shows the geographic impact of Sven Buchholz'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 Sven Buchholz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Buchholz more than expected).
Fields of papers citing papers by Sven Buchholz
This network shows the impact of papers produced by Sven Buchholz. 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 Sven Buchholz. The network helps show where Sven Buchholz may publish in the future.
Co-authorship network of co-authors of Sven Buchholz
This figure shows the co-authorship network connecting the top 25 collaborators of Sven Buchholz. A scholar is included among the top collaborators of Sven Buchholz 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 Sven Buchholz. Sven Buchholz 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 | 24 | |
| 3 | 3 | |
| 4 | 83 | |
| 5 | 3 | |
| 6 | 52 | |
| 7 | 20 | |
| 8 | 35 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | A Multidimensional Approach to Context-Awareness | 2 |
| 12 | 3 | |
| 13 | Modeling of Context Information for Pervasive Computing Applications | 103 |
| 14 | 12 | |
| 15 | 2 | |
| 16 | Dissemination of Mutable Sets of Web Objects | 3 |
| 17 | Device Independent Representation of Web-based Dialogs and Contents | 9 |
| 18 | 14 | |
| 19 | 20 | |
| 20 | 1 |
About Sven Buchholz
Sven Buchholz is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 21 papers that have together received 427 indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (5 papers), Neural Networks and Applications (5 papers) and Peer-to-Peer Network Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (173 citations), Computer Networks and Communications (163 citations) and Applied Mathematics (64 citations). Sven Buchholz has collaborated with scholars based in Germany, Japan and United States. Frequent co-authors include Gerald Sommer, Alexander Schill, Albert Held, Nicolas Le Bihan, Thomas A. Buchholz, Tohru Nitta, Eckhard Hitzer, Isseki Yu, Tobias Albrecht and Giuliano Ciarimboli. Their work appears in journals such as Neural Networks, SLAS DISCOVERY and International Journal of Neural Systems.
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.