Torsten Suel

6.5k citations
125 papers · 4.9k · h-index 38

Impact in

Papers in

Torsten Suel

123 papers receiving 4.5k citations

Peers

Torsten Suel
Comparison fields: 5 of 111
  • Signal Processing 1.9k
  • Computer Networks and Communications 2.9k
  • Information Systems 1.7k
  • Hardware and Architecture 408
  • Geography, Planning and Development 328
Replace Eugene J. Shekita with:
Eugene J. Shekita United States
Bongki Moon United States
Martin Kersten Netherlands
Alfons Kemper Germany
Ittai Abraham Israel
Stratis D. Viglas United Kingdom
Jeffrey F. Naughton United States
Edith Cohen United States
Jayavel Shanmugasundaram United States
Raffaele Perego Italy
Torsten Suel relative to Eugene J. Shekita United States Eugene J. Shekita's profile →
Citations per field
00.5×4.4×
Eugene J. Shekita · 1×
Citations per year

Countries citing papers authored by Torsten Suel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Torsten Suel Line = papers co-authored together Torsten Suel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Optimal Histograms with Quality Guarantees
1998305
2 2003237
3 1998233
4 2005226
5 2009211
6 2006208
7 2008179
8 2011169
9
Scalable Sweeping-Based Spatial Join
1998153
10 2002147
11 2009120
12 2005118
13
ODISSEA: A peer-to-peer architecture for scalable web search and information retrieval
2003110
14 2011107
15 2002103
16 2021101
17 200390
18 200588
19 200286
20 199982

About Torsten Suel

Torsten Suel is a scholar working on Computer Networks and Communications, Artificial Intelligence, Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 125 papers that have together received 4.9k indexed citations. Recurring topics across this work include Data Management and Algorithms (48 papers), Algorithms and Data Compression (46 papers), Web Data Mining and Analysis (30 papers), Caching and Content Delivery (21 papers), Advanced Database Systems and Queries (15 papers), Advanced Image and Video Retrieval Techniques (12 papers), Peer-to-Peer Network Technologies (12 papers) and Advanced Data Storage Technologies (12 papers). The work is most often cited by research in Signal Processing (1.9k citations), Computer Networks and Communications (2.9k citations), Information Systems (1.7k citations), Hardware and Architecture (408 citations) and Geography, Planning and Development (328 citations). Torsten Suel has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Shuai Ding, Qingqing Gan, Alexander Markowetz, Vladislav Shkapenyuk, Jiangong Zhang, Yen‐Yu Chen, Hao Yan, S. Muthukrishnan, Lujun Jia and Rajmohan Rajaraman. Their work appears in journals such as Distributed Computing, Theory of Computing Systems, Journal of Algorithms, Information Systems and Proceedings of the VLDB Endowment.

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.

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