C. Correa

804 citations
21 papers · 569 indexed · h-index 12

Impact in

Papers in

C. Correa

21 papers receiving 553 citations

Peers

C. Correa
Comparison fields: 5 of 78
  • Computer Graphics and Computer-Aided Design 338
  • Computer Vision and Pattern Recognition 418
  • Computational Mechanics 125
  • Biophysics 32
  • Statistical and Nonlinear Physics 41
Replace Louis Bavoil with:
Louis Bavoil United States
Kwan‐Liu Ma United States
Jared Hoberock United States
Andreas Lugmayr Switzerland
Carlos D. Correa United States
Zhong Li China
Alexander Wiebel Germany
Patrick McCormick United States
S. Parker United States
Iliyan Georgiev Germany
C. Correa relative to Louis Bavoil United States Louis Bavoil's profile →
Citations per field
00.5×2.7×
Louis Bavoil · 1×
Citations per year

Countries citing papers authored by C. Correa

Since Specialization
Citations

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

Fields of papers citing papers by C. Correa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside C. Correa, 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 C. Correa Line = papers co-authored together C. Correa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008119
2 201076
3 200972
4 201049
5 201043
6 200936
7 201132
8 200927
9 201026
10 201121
11 200615
12 201414
13 200710
14 20069
15 20018
16 20034
17 20033
18 20032
19 20041
20 20151

About C. Correa

C. Correa is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 21 papers that have together received 569 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (10 papers), 3D Shape Modeling and Analysis (7 papers), Advanced Vision and Imaging (6 papers), Data Visualization and Analytics (4 papers), Data Management and Algorithms (2 papers), Cell Image Analysis Techniques (2 papers), Topological and Geometric Data Analysis (2 papers) and Medical Image Segmentation Techniques (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (338 citations), Computer Vision and Pattern Recognition (418 citations), Computational Mechanics (125 citations), Biophysics (32 citations) and Statistical and Nonlinear Physics (41 citations). C. Correa has collaborated with scholars based in United States, Brazil and Moldova. Frequent co-authors include Kwan‐Liu Ma, Kwan‐Liu Ma, Kwan-Liu Ma, Peter Lindström, Tarik Crnovrsanin, Peer‐Timo Bremer, D. Silver, Helwig Hauser, Rodolfo I. Meneguette and Leandro A. Villas. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Journal of the Society for Information Display, Computer Graphics Forum and SID Symposium Digest of Technical Papers.

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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