Torsten Suel
Impact in
- Signal Processing top 0.5%
- Data Management and Algorithms
- Information Systems top 0.2%
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
Papers in
-
- Information Retrieval and Search Behavior 41
-
- Algorithms and Data Compression 43
- Co-authors
- Shuai Ding (6 shared papers)Qingqing Gan (6 shared papers)Alexander Markowetz (6 shared papers)Yen‐Yu Chen (4 shared papers)Vladislav Shkapenyuk (1 shared paper)Hao Yan (6 shared papers)S. Muthukrishnan (5 shared papers)Jiangong Zhang (3 shared papers)
- Journals
- Journal of Algorithms (2 papers)Theory of Computing Systems (2 papers)Distributed Computing (2 papers)Parallel Computing (1 paper)World Wide Web (1 paper)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Torsten Suel
115 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 89
- Signal Processing 619
- Information Systems 1.7k
- Computer Networks and Communications 1.4k
- Hardware and Architecture 413
- Artificial Intelligence 1.3k
Countries citing papers authored by Torsten Suel
This map shows the geographic impact of Torsten Suel'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 Torsten Suel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Suel more than expected).
Fields of papers citing papers by Torsten Suel
This network shows the impact of papers produced by Torsten Suel. 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 Torsten Suel. The network helps show where Torsten Suel may publish in the future.
Co-authors
The 25 scholars most cited alongside Torsten Suel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Optimal Histograms with Quality Guarantees | 1998 | 306 |
| 2 | 2005 | 240 | |
| 3 | 1998 | 238 | |
| 4 | 2003 | 228 | |
| 5 | 2009 | 209 | |
| 6 | 2006 | 205 | |
| 7 | 2011 | 175 | |
| 8 | 2008 | 174 | |
| 9 | Scalable Sweeping-Based Spatial Join | 1998 | 150 |
| 10 | 2002 | 146 | |
| 11 | 2009 | 123 | |
| 12 | 2021 | 112 | |
| 13 | 2011 | 106 | |
| 14 | 2002 | 102 | |
| 15 | ODISSEA: A Peer-to-Peer Architecture for Scalable Web Search and Information Retrieval | 2003 | 102 |
| 16 | 2002 | 90 | |
| 17 | 2005 | 90 | |
| 18 | 2003 | 88 | |
| 19 | 1999 | 85 | |
| 20 | 2004 | 74 |
About Torsten Suel
Torsten Suel is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Computational Theory and Mathematics and Signal Processing, having authored 117 papers that have together received 4.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (43 papers), Information Retrieval and Search Behavior (41 papers), Complexity and Algorithms in Graphs (15 papers), Interconnection Networks and Systems (10 papers), Data Management and Algorithms (10 papers), Parallel Computing and Optimization Techniques (9 papers), Advanced Database Systems and Queries (8 papers) and Graph Theory and Algorithms (6 papers). The work is most often cited by research in Signal Processing (619 citations), Information Systems (1.7k citations), Computer Networks and Communications (1.4k citations), Hardware and Architecture (413 citations) and Artificial Intelligence (1.3k citations). Torsten Suel has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Shuai Ding, Qingqing Gan, Alexander Markowetz, Yen‐Yu Chen, Vladislav Shkapenyuk, Hao Yan, S. Muthukrishnan, Jiangong Zhang, Lujun Jia and Rajmohan Rajaraman. Their work appears in journals such as Journal of Algorithms, Theory of Computing Systems, Distributed Computing, Parallel Computing and World Wide Web.
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.