Utz Westermann

612 citations
23 papers · 340 · h-index 9

Impact in

Papers in

Utz Westermann

23 papers receiving 313 citations

Peers

Utz Westermann
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 223
  • Signal Processing 78
  • Computer Networks and Communications 79
  • Information Systems 76
  • Artificial Intelligence 101
Replace Timothy Arndt with:
Timothy Arndt United States
Ed Huai-hsin United States
K. Sjoerd Mullender Netherlands
Cosimo Palmisano Italy
Lyndon Nixon Austria
W.I. Grosky United States
Stevan Rudinac Netherlands
A.F. Cárdenas United States
Thomas Panas United States
Yih-Farn Robin Chen United States
Utz Westermann relative to Timothy Arndt United States Timothy Arndt's profile →
Citations per field
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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 21 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007133
2 200333
3 200731
4 200620
5 200618
6 200317
7 199913
8 20078
9 20008
10 20057
11 20067
12
CULTOS: Towards A World-Wide Digital Collection of Exchangeable Units of Multimedia Content for Intertextual Studies
20036
13 20056
14 20056
15 20065
16 19994
17 20034
18 20034
19 20063
20
SCAMPI - Sensor Configuration and Aggregation Middleware for Multi Platform Interchange
20092

About Utz Westermann

Utz Westermann is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Sociology and Political Science, Artificial Intelligence and Signal Processing, having authored 23 papers that have together received 340 indexed citations. Recurring topics across this work include Video Analysis and Summarization (17 papers), Multimedia Communication and Technology (13 papers), Peer-to-Peer Network Technologies (8 papers), Advanced Database Systems and Queries (5 papers), Semantic Web and Ontologies (3 papers), Digital Rights Management and Security (3 papers), Image Retrieval and Classification Techniques (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (223 citations), Signal Processing (78 citations), Computer Networks and Communications (79 citations), Information Systems (76 citations) and Artificial Intelligence (101 citations). Utz Westermann has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Ramesh Jain, Wolfgang Klas, Susanne Boll, Ansgar Scherp, Marko Palola, Sonja Zillner, Johannes Peltola, Elena Vildjiounaite, Shengyue Ji and Sharad Mehrotra. Their work appears in journals such as Multimedia Tools and Applications, International Journal on Semantic Web and Information Systems, Software Practice and Experience, ACM Computing Surveys and Methods of Information in Medicine.

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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