Carsten Görg

3.4k citations
65 papers · 1.3k indexed · h-index 20

Carsten Görg

62 papers receiving 1.3k citations

Peers

Carsten Görg
Comparison fields: 5 of 123
  • Software 216
  • Computer Vision and Pattern Recognition 611
  • Information Systems 470
  • Human-Computer Interaction 84
  • Computer Science Applications 72
Replace Indika Perera with:
Indika Perera Sri Lanka
Kanit Wongsuphasawat United States
Haidong Zhang China
Gabriel Murray Canada
Giuseppe Polese Italy
Michele Risi Italy
Anil Madhavapeddy United Kingdom
Fred Hohman United States
B. Shneiderman United States
Ken Kahn United Kingdom
Carsten Görg relative to Indika Perera Sri Lanka Indika Perera's profile →
Citations per field
00.5×3.8×
Indika Perera · 1×
Citations per year

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-authorship network

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
#Work
1 20250
2 20251
3 20254
4 20240
5 20237
6 20214
7 20218
8 20209
9 20196
10
Abstract 12890: Latent Cluster Analysis Using Clinical and Functional Characteristics Identifies Novel Phenotypes of Patients With Reduced Ejection Fraction Enrolled in the HF-ACTION Trial With Differential Association With Mortality
20181
11 201835
12 201716
13 201523
14 201355
15 20107
16
Evaluating Visual Analytics: The 2007 Visual Analytics Science and Technology Symposium Contest | NIST
20084
17 200832
18 2007179
19 200610
20
Graphs, they are changing - dynamic graph drawing for a sequence of graphs
200212

About Carsten Görg

Carsten Görg is a scholar working on Health Informatics, Software, Biological Psychiatry, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 65 papers that have together received 1.3k indexed citations. Recurring topics across this work include Data Visualization and Analytics (18 papers), Software Engineering Research (16 papers), Software System Performance and Reliability (10 papers), Video Analysis and Summarization (8 papers), Software Testing and Debugging Techniques (6 papers), Bioinformatics and Genomic Networks (6 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Advanced Software Engineering Methodologies (4 papers). The work is most often cited by research in Software (216 citations), Computer Vision and Pattern Recognition (611 citations), Information Systems (470 citations), Human-Computer Interaction (84 citations) and Computer Science Applications (72 citations). Carsten Görg has collaborated with scholars based in United States, Germany and India. Frequent co-authors include John Stasko, Zhicheng Liu, Chris Parnin, Mary Jean Harrold, Younah Kang, Hina Shah, Peter Weißgerber, Andreas Kerren, Spencer Rugaber and Jaegul Choo. Their work appears in journals such as IEEE Computer Graphics and Applications, IEEE Transactions on Visualization and Computer Graphics, BMC Bioinformatics, 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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