Utz Westermann

613 citations
27 papers · 438 · h-index 10

Impact in

Papers in

Utz Westermann

26 papers receiving 404 citations

Peers

Utz Westermann
Comparison fields: 5 of 53
  • Computer Vision and Pattern Recognition 280
  • Signal Processing 95
  • Computer Networks and Communications 113
  • Information Systems 98
  • Artificial Intelligence 140
Replace Timothy Arndt with:
Timothy Arndt United States
Shi-Kuo Chang United States
Beth Hetzler United States
K.A. Pennock United States
Robert K. France United States
Sumit Negi India
K. Sjoerd Mullender Netherlands
Cosimo Palmisano Italy
Joost Geurts Netherlands
Sergey Chernov Germany
Utz Westermann relative to Timothy Arndt United States Timothy Arndt's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Utz Westermann

Since Specialization
Citations

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

Fields of papers citing papers by Utz Westermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Utz Westermann, 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 Utz Westermann Line = papers co-authored together Utz Westermann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007160
2 200342
3 200735
4 200624
5 200622
6 200319
7 199914
8 200713
9 199910
10 200010
11 20059
12
CULTOS: Towards A World-Wide Digital Collection of Exchangeable Units of Multimedia Content for Intertextual Studies
20039
13 20058
14 20068
15 20057
16 20066
17 20046
18 20035
19 20075
20 19995

About Utz Westermann

Utz Westermann is a scholar working on Computer Vision and Pattern Recognition, Sociology and Political Science, Computer Networks and Communications, Information Systems and Signal Processing, having authored 27 papers that have together received 438 indexed citations. Recurring topics across this work include Video Analysis and Summarization (21 papers), Multimedia Communication and Technology (17 papers), Peer-to-Peer Network Technologies (10 papers), Advanced Database Systems and Queries (5 papers), Digital Rights Management and Security (5 papers), Context-Aware Activity Recognition Systems (2 papers), Music and Audio Processing (2 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (280 citations), Signal Processing (95 citations), Computer Networks and Communications (113 citations), Information Systems (98 citations) and Artificial Intelligence (140 citations). Utz Westermann has collaborated with scholars based in Austria, Germany and Finland. Frequent co-authors include Ramesh Jain, Wolfgang Klas, Susanne Boll, Ansgar Scherp, Marko Palola, Sonja Zillner, Johannes Peltola, Sharad Mehrotra, Bijit Hore and Nalini Venkatasubramanian. Their work appears in journals such as Multimedia Tools and Applications, Software Practice and Experience, IEEE Multimedia, International Journal on Semantic Web and Information Systems and ACM Computing Surveys.

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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