Carsten Görg

3.5k citations
76 papers · 2.7k · 1 hit paper · h-index 24

Impact in

Papers in

Carsten Görg

71 papers receiving 2.6k citations

Carsten Görg's Hit Papers

Visual Analytics: Definition, Process, and Challenges 2008 · 813 citations
8130+6+12Years since publication250500750

Peers

Carsten Görg
Comparison fields: 5 of 152
  • Computer Vision and Pattern Recognition 1.5k
  • Software 234
  • Human-Computer Interaction 185
  • Information Systems 606
  • Signal Processing 287
Replace Stephen G. Eick with:
Stephen G. Eick United States
Andreas Kerren Sweden
Iván Herman Netherlands
George Forman United States
Zhicheng Liu United States
Zhou Li Zhao China
Robert Kosara United States
Kang Zhang United States
Paolo Buono Italy
James J. Thomas United States
Carsten Görg relative to Stephen G. Eick United States Stephen G. Eick's profile →
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Countries citing papers authored by Carsten Görg

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Görg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Visual Analytics: Definition, Process, and Challenges
Hit paper breakdown →
2008813
2 2008243
3 2007202
4 2002134
5 2007105
6 200968
7 200665
8 201365
9 200155
10 201052
11 200552
12 201044
13 200543
14 200842
15 201842
16 200941
17 201841
18 200138
19 200835
20 202234

About Carsten Görg

Carsten Görg is a scholar working on Computer Vision and Pattern Recognition, Software, Information Systems, Health Informatics and Information Systems and Management, having authored 76 papers that have together received 2.7k indexed citations. Recurring topics across this work include Data Visualization and Analytics (27 papers), Software Engineering Research (15 papers), Video Analysis and Summarization (10 papers), Software System Performance and Reliability (9 papers), Software Testing and Debugging Techniques (6 papers), Artificial Intelligence in Healthcare and Education (6 papers), Scientific Computing and Data Management (5 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Software (234 citations), Human-Computer Interaction (185 citations), Information Systems (606 citations) and Signal Processing (287 citations). Carsten Görg has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include John Stasko, Zhicheng Liu, Gennady Andrienko, Jörn Kohlhammer, Daniel A. Keim, Jean‐Daniel Fekete, Guy Mélançon, Stephan Diehl, Chris Parnin and Mary Jean Harrold. Their work appears in journals such as BMC Bioinformatics, IEEE Computer Graphics and Applications, IEEE Transactions on Visualization and Computer Graphics, Information Visualization and BMJ Open.

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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