C. Correa

804 total citations
21 papers, 569 citations indexed

About

C. Correa is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, C. Correa has authored 21 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 10 papers in Computer Graphics and Computer-Aided Design and 8 papers in Computational Mechanics. Recurrent topics in C. Correa's work include Computer Graphics and Visualization Techniques (10 papers), 3D Shape Modeling and Analysis (7 papers) and Advanced Vision and Imaging (6 papers). C. Correa is often cited by papers focused on Computer Graphics and Visualization Techniques (10 papers), 3D Shape Modeling and Analysis (7 papers) and Advanced Vision and Imaging (6 papers). C. Correa collaborates with scholars based in United States, Brazil and Germany. C. Correa's co-authors include Kwan‐Liu Ma, Kwan‐Liu Ma, Kwan-Liu Ma, Peter Lindström, Tarik Crnovrsanin, Peer‐Timo Bremer, D. Silver, Helwig Hauser, Leandro A. Villas and Rodolfo I. Meneguette and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, Computer Graphics Forum and Journal of the Society for Information Display.

In The Last Decade

C. Correa

21 papers receiving 553 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
C. Correa United States 12 418 338 125 49 42 21 569
Alexander Wiebel Germany 11 245 0.6× 204 0.6× 114 0.9× 48 1.0× 40 1.0× 38 412
Zhong Li China 12 410 1.0× 142 0.4× 119 1.0× 34 0.7× 86 2.0× 84 620
Raif M. Rustamov United States 14 552 1.3× 289 0.9× 635 5.1× 102 2.1× 61 1.5× 22 1.1k
Kwan‐Liu Ma United States 8 341 0.8× 241 0.7× 91 0.7× 13 0.3× 59 1.4× 10 559
Jared Hoberock United States 9 426 1.0× 407 1.2× 196 1.6× 9 0.2× 51 1.2× 10 757
Louis Bavoil United States 13 601 1.4× 493 1.5× 213 1.7× 17 0.3× 62 1.5× 18 881
Ajith Mascarenhas United States 10 330 0.8× 192 0.6× 190 1.5× 280 5.7× 19 0.5× 16 642
Carlos D. Correa United States 11 346 0.8× 143 0.4× 57 0.5× 16 0.3× 108 2.6× 26 453
André Lieutier France 17 366 0.9× 276 0.8× 248 2.0× 414 8.4× 37 0.9× 46 798
Patrick McCormick United States 12 230 0.6× 185 0.5× 164 1.3× 56 1.1× 96 2.3× 46 694

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-authorship network of co-authors of C. Correa

This figure shows the co-authorship network connecting the top 25 collaborators of C. Correa. A scholar is included among the top collaborators of C. Correa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. Correa. C. Correa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Correa, C., Jó Ueyama, Rodolfo I. Meneguette, Leandro A. Villas, & Geraldo P. Rocha Filho. (2015). Ad hoc vehicular: Exploratory evaluation of a vehicular ad hoc network in Urban and highway settings. 8. 1–5. 1 indexed citations
2.
Correa, C., Jó Ueyama, Rodolfo I. Meneguette, & Leandro A. Villas. (2014). VANets: An Exploratory Evaluation in Vehicular Ad Hoc Network for Urban Environment. 45–49. 14 indexed citations
3.
Correa, C., Peter Lindström, & Peer‐Timo Bremer. (2011). Topological Spines: A Structure-preserving Visual Representation of Scalar Fields. IEEE Transactions on Visualization and Computer Graphics. 17(12). 1842–1851. 32 indexed citations
4.
Correa, C. & Peter Lindström. (2011). Towards Robust Topology of Sparsely Sampled Data. IEEE Transactions on Visualization and Computer Graphics. 17(12). 1852–1861. 21 indexed citations
5.
Correa, C. & Kwan-Liu Ma. (2010). Visibility Histograms and Visibility-Driven Transfer Functions. IEEE Transactions on Visualization and Computer Graphics. 17(2). 192–204. 76 indexed citations
6.
Correa, C., Tarik Crnovrsanin, & Kwan‐Liu Ma. (2010). Visual Reasoning about Social Networks Using Centrality Sensitivity. IEEE Transactions on Visualization and Computer Graphics. 18(1). 106–120. 49 indexed citations
7.
Correa, C., et al.. (2010). Visualization by Proxy: A Novel Framework for Deferred Interaction with Volume Data. IEEE Transactions on Visualization and Computer Graphics. 16(6). 1551–1559. 43 indexed citations
8.
Correa, C., et al.. (2010). An Exploratory Technique for Coherent Visualization of Time‐varying Volume Data. Computer Graphics Forum. 29(3). 783–792. 26 indexed citations
9.
Correa, C. & Kwan‐Liu Ma. (2009). The Occlusion Spectrum for Volume Classification and Visualization. IEEE Transactions on Visualization and Computer Graphics. 15(6). 1465–1472. 72 indexed citations
10.
Correa, C., et al.. (2009). A Comparison of Gradient Estimation Methods for Volume Rendering on Unstructured Meshes. IEEE Transactions on Visualization and Computer Graphics. 17(3). 305–319. 36 indexed citations
11.
Correa, C., et al.. (2009). Curve-Centric Volume Reformation for Comparative Visualization. IEEE Transactions on Visualization and Computer Graphics. 15(6). 1235–1242. 27 indexed citations
12.
Correa, C. & Kwan‐Liu Ma. (2008). Size-based Transfer Functions: A New Volume Exploration Technique. IEEE Transactions on Visualization and Computer Graphics. 14(6). 1380–1387. 119 indexed citations
13.
Correa, C., Mark W. Jones, Peiyi Shen, et al.. (2007). Manipulating, Deforming and Animating Sampled Object Representations. Computer Graphics Forum. 26(4). 824–852. 10 indexed citations
14.
Correa, C. & D. Silver. (2006). Dataset Traversal with Motion-Controlled Transfer Functions. 46–46. 15 indexed citations
15.
Correa, C., et al.. (2006). Dataset Traversal with Motion-Controlled Transfer Functions. 359–366. 9 indexed citations
16.
Correa, C. & Ivan Marsic. (2004). A simplification architecture for exploring navigation tradeoffs in mobile VR. 133–140. 1 indexed citations
17.
Correa, C. & Ivan Marsic. (2004). A simplification architecture for exploring navigation tradeoffs in mobile VR. 105. 133–140. 1 indexed citations
18.
Correa, C., et al.. (2003). New encoding algorithm for 3‐D stereoscopic plasma displays. Journal of the Society for Information Display. 11(1). 71–78. 2 indexed citations
19.
Correa, C., et al.. (2003). 17.2: Compensation of False Contours on a PDP using a Pixel Based Motion Estimator Combined with an Efficient Coding Technique. SID Symposium Digest of Technical Papers. 34(1). 780–783. 3 indexed citations
20.
Correa, C., et al.. (2001). PDP picture‐quality enhancement based on human‐visual‐system relevant features. Journal of the Society for Information Display. 9(4). 279–286. 8 indexed citations

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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