Sebastian Michel

3.2k citations
131 papers · 1.9k indexed · h-index 23

Sebastian Michel

122 papers receiving 1.8k citations

Peers

Sebastian Michel
Comparison fields: 5 of 106
  • Signal Processing 449
  • Computer Networks and Communications 720
  • Information Systems 449
  • Plant Science 716
  • Genetics 358
Replace Dmitriy Ryaboy with:
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S. Srinivasan India
Jie Wu China
Muhammad Younas Pakistan
Arnab Bhattacharya India
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Citations per field
00.5×9.9×
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Citations per year

Countries citing papers authored by Sebastian Michel

Since Specialization
Citations

This map shows the geographic impact of Sebastian Michel'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 Sebastian Michel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Michel more than expected).

Fields of papers citing papers by Sebastian Michel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebastian Michel. 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 Sebastian Michel. The network helps show where Sebastian Michel may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sebastian Michel, 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 Sebastian Michel Line = papers co-authored together Sebastian Michel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20240
4 20240
5 20232
6 20233
7 202312
8 20238
9 202310
10 202210
11 20214
12 20198
13
Reverse Engineering Top-k Join Queries
20172
14
An LSH Index for Computing Kendall's Tau over Top-k Lists
20141
15
GSN, Middleware for Streaming World (Best Demo Award)
20094
16
LSH At Large - Distributed KNN Search in High Dimensions
200819
17
Query Driven Operator Placement for Complex Event Detection over Data Streams
20082
18
P2P Content Search: Give the Web Back to the People
200621
19
Global Document Frequency Estimation in Peer-to-Peer Web Search
200610
20
KLEE: A Framework for Distributed Top-k Query Algorithms
2005137

About Sebastian Michel

Sebastian Michel is a scholar working on Signal Processing, Computer Networks and Communications and Information Systems, having authored 131 papers that have together received 1.9k indexed citations. Recurring topics across this work include Data Management and Algorithms (39 papers), Wheat and Barley Genetics and Pathology (32 papers), Peer-to-Peer Network Technologies (31 papers), Advanced Database Systems and Queries (28 papers), Genetics and Plant Breeding (28 papers), Caching and Content Delivery (27 papers), Web Data Mining and Analysis (21 papers) and Genetic Mapping and Diversity in Plants and Animals (20 papers). The work is most often cited by research in Signal Processing (449 citations), Computer Networks and Communications (720 citations) and Information Systems (449 citations). Sebastian Michel has collaborated with scholars based in Germany, Austria and Switzerland. Frequent co-authors include Gerhard Weikum, Peter Triantafillou, Hermann Buerstmayr, Matthias Bender, Karl Aberer, Franziska Löschenberger, Christian Ametz, Parisa Haghani, Ralf Schenkel and Christian Zimmer. Their work appears in journals such as SHILAP Revista de lepidopterología, Frontiers in Plant Science and Theoretical and Applied Genetics.

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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