Andreas Kerren

3.8k citations
161 papers · 2.2k · h-index 21

Impact in

Papers in

Andreas Kerren

145 papers receiving 2.0k citations

Peers

Andreas Kerren
Comparison fields: 5 of 143
  • Computer Vision and Pattern Recognition 1.0k
  • Computer Science Applications 157
  • Artificial Intelligence 810
  • Human-Computer Interaction 122
  • Signal Processing 193
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Weiwei Cui China
Stephen Kobourov United States
Bo Liu China
Zhicheng Liu United States
Enrico Bertini United States
Michael Sedlmair Germany
Remco Chang United States
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Arvind Satyanarayan United States
Robert Kosara United States
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Andreas Kerren

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Kerren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019192
2 2015164
3 2015122
4 2020114
5 2020113
6 2020101
7 2020100
8 201782
9 201759
10 200858
11 201443
12 200641
13 200140
14
Human-Centered Visualization Environments
200832
15 201728
16 201524
17 201723
18 201522
19 201722
20
Visualization of Large and Unstructured Data Sets
200622

About Andreas Kerren

Andreas Kerren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Experimental and Cognitive Psychology and Information Systems, having authored 161 papers that have together received 2.2k indexed citations. Recurring topics across this work include Data Visualization and Analytics (91 papers), Advanced Text Analysis Techniques (32 papers), Complex Network Analysis Techniques (21 papers), Topic Modeling (16 papers), Sentiment Analysis and Opinion Mining (14 papers), Natural Language Processing Techniques (10 papers), Bioinformatics and Genomic Networks (10 papers) and Mental Health Research Topics (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computer Science Applications (157 citations), Artificial Intelligence (810 citations), Human-Computer Interaction (122 citations) and Signal Processing (193 citations). Andreas Kerren has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Kostiantyn Kucher, Rafael M. Martins, Angelos Chatzimparmpas, Ilir Jusufi, Carita Paradis, Alexandru Telea, Mateus Espadoto, Daniel Cernea, Nina S. T. Hirata and Achim Ebert. Their work appears in journals such as Information Visualization, Computer Graphics Forum, IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications and Virtual Reality.

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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