Michael Clausen

79 papers receiving 2.2k citations

Michael Clausen's Hit Papers

Algebraic Complexity Theory 1997 · 544 citations
5440+9+19Years since publication100200300400500

Peers

Michael Clausen
Comparison fields: 5 of 139
  • Computational Mathematics 120
  • Signal Processing 629
  • Computer Vision and Pattern Recognition 1.0k
  • Discrete Mathematics and Combinatorics 150
  • Immunology and Allergy 227
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George E. Collins United States
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Yaotang Li China
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Citations per year

Countries citing papers authored by Michael Clausen

Since Specialization
Citations

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

Fields of papers citing papers by Michael Clausen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Algebraic Complexity Theory
Hit paper breakdown →
1997544
2
Documentation Mocap Database HDM05
2007272
3 2005266
4 2005147
5 200788
6 199164
7 200562
8 198961
9 198960
10 200953
11 200953
12 200048
13 200432
14 200731
15 200629
16 201828
17 201027
18
Identification of Highly Distorted Audio Material for Querying Large Scale Data Bases
200227
19 202027
20 197925

About Michael Clausen

Michael Clausen is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Physiology and Immunology and Allergy, having authored 86 papers that have together received 2.4k indexed citations. Recurring topics across this work include Music and Audio Processing (32 papers), Music Technology and Sound Studies (22 papers), Speech and Audio Processing (14 papers), Asthma and respiratory diseases (11 papers), Finite Group Theory Research (11 papers), Food Allergy and Anaphylaxis Research (10 papers), Allergic Rhinitis and Sensitization (9 papers) and Digital Filter Design and Implementation (7 papers). The work is most often cited by research in Computational Mathematics (120 citations), Signal Processing (629 citations), Computer Vision and Pattern Recognition (1.0k citations), Discrete Mathematics and Combinatorics (150 citations) and Immunology and Allergy (227 citations). Michael Clausen has collaborated with scholars based in Germany, Iceland and United States. Frequent co-authors include Meinard Müller, Peter Bürgisser, Mohammad Amin Shokrollahi, Tido Röder, Frank Kurth, Bernhard Eberhardt, Björn Krüger, Andreas Weber⋆, Christian Fremerey and Ulrich Baum. Their work appears in journals such as Mathematics of Computation, Journal of Allergy and Clinical Immunology, Allergy, Journal of the Audio Engineering Society and Theoretical Computer Science.

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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