Andreas Kerren

3.8k citations
195 papers · 2.8k · h-index 25

Impact in

Papers in

Andreas Kerren

179 papers receiving 2.6k citations

Peers

Andreas Kerren
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 1.4k
  • Human-Computer Interaction 202
  • Computer Science Applications 195
  • Artificial Intelligence 997
  • Statistical and Nonlinear Physics 331
Replace Carsten Görg with:
Carsten Görg United States
Remco Chang United States
Weiwei Cui China
Jörn Kohlhammer Germany
Alex Endert United States
Michael Sedlmair Germany
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Zhicheng Liu United States
Bo Liu China
Melanie Tory Canada
Andreas Kerren relative to Carsten Görg United States Carsten Görg's profile →
Citations per field
00.5×3.0×
Carsten Görg · 1×
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 195 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019207
2 2015168
3 2015134
4 2020122
5 2020118
6 2020112
7 2020100
8 201784
9 200868
10 201766
11
Human-Centered Visualization Environments
200861
12 200153
13 201450
14 200643
15 201837
16 200136
17 201230
18 201728
19 201028
20 201227

About Andreas Kerren

Andreas Kerren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Molecular Biology and Information Systems, having authored 195 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (109 papers), Advanced Text Analysis Techniques (34 papers), Complex Network Analysis Techniques (28 papers), Topic Modeling (18 papers), Sentiment Analysis and Opinion Mining (16 papers), Bioinformatics and Genomic Networks (15 papers), Natural Language Processing Techniques (12 papers) and Video Analysis and Summarization (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (202 citations), Computer Science Applications (195 citations), Artificial Intelligence (997 citations) and Statistical and Nonlinear Physics (331 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, Carita Paradis, Ilir Jusufi, Falk Schreiber, Achim Ebert, Alexandru Telea, Daniel Cernea and Mateus Espadoto. Their work appears in journals such as Information Visualization, IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum, IEEE Computer Graphics and Applications and Lecture notes in 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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