Guy Mélançon

99 papers receiving 3.2k citations

Guy Mélançon's Hit Papers

Visual Analytics: Definition, Process, and Challenges 2008 · 817 citations
8170+8+17Years since publication2505007501k

Peers

Guy Mélançon
Comparison fields: 5 of 128
  • Computer Vision and Pattern Recognition 1.9k
  • Statistical and Nonlinear Physics 282
  • Computer Graphics and Computer-Aided Design 69
  • Software 62
  • Information Systems 279
Replace Lawrence B. Holder with:
Lawrence B. Holder United States
Bill Howe United States
Iván Herman Netherlands
Claudio Gutiérrez Chile
Nick Koudas Canada
Jörn Kohlhammer Germany
Marc Najork United States
Xiaoyong Du China
K. Selçuk Candan United States
Vijay V. Raghavan United States
Guy Mélançon relative to Lawrence B. Holder United States Lawrence B. Holder's profile →
Citations per field
00.5×2×4×5.3×
Lawrence B. Holder · 1×
Citations per year

Countries citing papers authored by Guy Mélançon

Since Specialization
Citations

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

Fields of papers citing papers by Guy Mélançon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Graph visualization and navigation in information visualization: A survey
Hit paper breakdown →
20001133
2
Visual Analytics: Definition, Process, and Challenges
Hit paper breakdown →
2008817
3 2018195
4 2003156
5 201984
6 200462
7 198955
8 200643
9 200439
10 200639
11 199837
12 201336
13 200135
14 201533
15 201432
16 200127
17 201327
18 201126
19 200224
20 199223

About Guy Mélançon

Guy Mélançon is a scholar working on Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Computational Theory and Mathematics, Discrete Mathematics and Combinatorics and Urban Studies, having authored 105 papers that have together received 3.4k indexed citations. Recurring topics across this work include Data Visualization and Analytics (49 papers), Complex Network Analysis Techniques (26 papers), semigroups and automata theory (11 papers), Global Urban Networks and Dynamics (6 papers), Advanced Combinatorial Mathematics (6 papers), Advanced Clustering Algorithms Research (4 papers), Graph Theory and Algorithms (4 papers) and Urban Design and Spatial Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.9k citations), Statistical and Nonlinear Physics (282 citations), Computer Graphics and Computer-Aided Design (69 citations), Software (62 citations) and Information Systems (279 citations). Guy Mélançon has collaborated with scholars based in France, Japan and Canada. Frequent co-authors include Iván Herman, Michael S. Marshall, Gennady Andrienko, Jean‐Daniel Fekete, Daniel A. Keim, Carsten Görg, Jörn Kohlhammer, Fabien Jourdan, Yves Chiricota and David Auber. Their work appears in journals such as Computer Graphics Forum, Discrete Mathematics & Theoretical Computer Science, Social Network Analysis and Mining, Multimedia Tools and Applications and Field Methods.

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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