Andreas Kerren

3.7k citations
159 papers · 2.1k indexed · h-index 21

Andreas Kerren

143 papers receiving 2.0k citations

Peers

Andreas Kerren
Comparison fields: 5 of 144
  • Computer Vision and Pattern Recognition 1.0k
  • Computer Science Applications 155
  • Artificial Intelligence 794
  • Human-Computer Interaction 119
  • Signal Processing 192
Replace Weiwei Cui with:
Weiwei Cui China
Bo Liu China
Enrico Bertini United States
Michael Sedlmair Germany
Zhicheng Liu United States
Gideon Dror Israel
Arvind Satyanarayan United States
Remco Chang United States
Simon Colton United Kingdom
Antonio Picariello Italy
Andreas Kerren relative to Weiwei Cui China Weiwei Cui's profile →
Citations per field
00.5×1.7×
Weiwei Cui · 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-authorship network

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
#Work
1 20244
2 20243
3 20234
4 20230
5 20226
6 202216
7 20224
8 202117
9 20216
10 202016
11 2020104
12 2020109
13 2019182
14
Marker words for negation and speculation in health records and consumer reviews
20162
15 2015119
16
A Study of Emotion-triggered Adaptation Methods for Interactive Visualization
20132
17 20066
18
Algorithm Animation - Introduction
200119
19
Increasing Explorativity by Generation
20003
20
Visualisierung und Animation der semantischen Analyse von Programmen
20000

About Andreas Kerren

Andreas Kerren is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Statistical and Nonlinear Physics and Information Systems and Management, having authored 159 papers that have together received 2.1k indexed citations. Recurring topics across this work include Data Visualization and Analytics (91 papers), Advanced Text Analysis Techniques (31 papers), Complex Network Analysis Techniques (21 papers), Topic Modeling (15 papers), Sentiment Analysis and Opinion Mining (14 papers), Natural Language Processing Techniques (10 papers), Bioinformatics and Genomic Networks (10 papers) and Video Analysis and Summarization (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Computer Science Applications (155 citations), Artificial Intelligence (794 citations), Human-Computer Interaction (119 citations) and Signal Processing (192 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, Daniel Cernea, Mateus Espadoto, Nina S. T. Hirata and Achim Ebert. 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 Corpora.

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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