Georges Grinstein

121 papers receiving 2.6k citations

Peers

Georges Grinstein
Comparison fields: 5 of 161
  • Computer Vision and Pattern Recognition 1.6k
  • Computer Graphics and Computer-Aided Design 147
  • Human-Computer Interaction 224
  • Signal Processing 406
  • Artificial Intelligence 711
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Robert Kosara United States
Jonathan C. Roberts United Kingdom
Remco Chang United States
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Wolfgang Aigner Austria
Carsten Görg United States
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Citations per year

Countries citing papers authored by Georges Grinstein

Since Specialization
Citations

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

Fields of papers citing papers by Georges Grinstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010258
2 2010196
3 2002152
4 2003131
5 2014119
6 2007113
7 1999112
8 2005112
9 198888
10 201586
11 201783
12 199381
13
A survey of visualizations for high-dimensional data mining
200173
14 199068
15 200665
16 200864
17 200949
18
Table visualizations: a formal model and its applications
200047
19 200843
20 201237

About Georges Grinstein

Georges Grinstein is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Management, Artificial Intelligence, Computer Graphics and Computer-Aided Design and Human-Computer Interaction, having authored 125 papers that have together received 2.8k indexed citations. Recurring topics across this work include Data Visualization and Analytics (59 papers), Video Analysis and Summarization (11 papers), Scientific Computing and Data Management (7 papers), Data Management and Algorithms (7 papers), Data Mining Algorithms and Applications (7 papers), Computer Graphics and Visualization Techniques (6 papers), Gene expression and cancer classification (6 papers) and Multimedia Communication and Technology (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Computer Graphics and Computer-Aided Design (147 citations), Human-Computer Interaction (224 citations), Signal Processing (406 citations) and Artificial Intelligence (711 citations). Georges Grinstein has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Daniel A. Keim, Matthew O. Ward, Patrick Hoffman, Catherine Plaisant, G. A. Held, Yuan Tu, Ronald M. Pickett, Stuart Smith, Kenneth A. Marx and Weidong Wang. Their work appears in journals such as IEEE Computer Graphics and Applications, Computers & Graphics, Information Visualization, IEEE Transactions on Visualization and Computer Graphics and Journal of Alzheimer s Disease.

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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