Michael Wurst

1.4k citations
23 papers · 1.1k · 1 hit paper · h-index 10

Impact in

Papers in

Michael Wurst

20 papers receiving 1k citations

Michael Wurst's Hit Papers

YALE 2006 · 816 citations
8160+6+13Years since publication250500750

Peers

Michael Wurst
Comparison fields: 5 of 115
  • Signal Processing 100
  • Artificial Intelligence 392
  • Computer Science Applications 58
  • Information Systems 215
  • Information Systems and Management 46
Replace Ingo Mierswa with:
Ingo Mierswa Germany
Ralf Klinkenberg Germany
Timm Euler Germany
Henry R. Ehrenberg United States
Chunxiao Xing China
Stéphane Bressan Singapore
Parikshit Ram United States
Sen Wu United States
Jilei Tian China
Stephen H. Bach United States
Michael Wurst relative to Ingo Mierswa Germany Ingo Mierswa's profile →
Citations per field
00.5×1.5×
Ingo Mierswa · 1×
Citations per year

Countries citing papers authored by Michael Wurst

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Michael Wurst, 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 Michael Wurst Line = papers co-authored together Michael Wurst links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
YALE
Hit paper breakdown →
2006816
2 200576
3 200639
4 200525
5 200422
6 201420
7 200619
8 201114
9 201012
10 200510
11 20139
12 20066
13 20106
14 20065
15 20065
16 20205
17
Sound Multi-objective Feature Space Transformation for Clustering
20063
18 20072
19 20031
20 20041

About Michael Wurst

Michael Wurst is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Communication, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (5 papers), Data Mining Algorithms and Applications (4 papers), Data Visualization and Analytics (4 papers), Semantic Web and Ontologies (4 papers), Advanced Database Systems and Queries (3 papers), Knowledge Management and Technology (3 papers), Multi-Agent Systems and Negotiation (3 papers) and Knowledge Management and Sharing (3 papers). The work is most often cited by research in Signal Processing (100 citations), Artificial Intelligence (392 citations), Computer Science Applications (58 citations), Information Systems (215 citations) and Information Systems and Management (46 citations). Michael Wurst has collaborated with scholars based in Germany, Ireland and United States. Frequent co-authors include Ingo Mierswa, Martin Scholz, Timm Euler, Ralf Klinkenberg, Katharina J. Morik, Jasminko Novak, Wolfgang Strauß, Eric P. Bouillet, Martin Grund and Philippe Cudré-Mauroux. Their work appears in journals such as Future Generation Computer Systems, Lecture notes in computer science, Knowledge and Information Systems, International Journal of Knowledge-based and Intelligent Engineering Systems and LWA.

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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