Diego A. Socolinsky

1.5k total citations
24 papers, 839 citations indexed

About

Diego A. Socolinsky is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Aerospace Engineering. According to data from OpenAlex, Diego A. Socolinsky has authored 24 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 7 papers in Aerospace Engineering. Recurrent topics in Diego A. Socolinsky's work include Face and Expression Recognition (11 papers), Face recognition and analysis (9 papers) and Infrared Target Detection Methodologies (7 papers). Diego A. Socolinsky is often cited by papers focused on Face and Expression Recognition (11 papers), Face recognition and analysis (9 papers) and Infrared Target Detection Methodologies (7 papers). Diego A. Socolinsky collaborates with scholars based in United States. Diego A. Socolinsky's co-authors include Andrea Selinger, Lawrence B. Wolff, Christopher K. Eveland, Carey E. Priebe, David J. Marchette, Joel Spruck, Michael V. Wood, Andrew Lundberg, John H. Holloway and Yefei Qian and has published in prestigious journals such as IEEE Transactions on Image Processing, Image and Vision Computing and Computer Vision and Image Understanding.

In The Last Decade

Diego A. Socolinsky

23 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego A. Socolinsky United States 12 682 260 223 93 86 24 839
Andrea Selinger United States 9 557 0.8× 124 0.5× 158 0.7× 115 1.2× 52 0.6× 14 620
Moghaddam Iran 7 1.2k 1.7× 148 0.6× 279 1.3× 60 0.6× 12 0.1× 18 1.3k
Andrew Wagner United States 7 739 1.1× 105 0.4× 210 0.9× 35 0.4× 19 0.2× 14 887
S.Z. Li China 15 1.3k 1.9× 197 0.8× 290 1.3× 30 0.3× 12 0.1× 31 1.5k
Fanlong Zhang China 13 635 0.9× 224 0.9× 110 0.5× 23 0.2× 13 0.2× 40 833
K. Satya Prasad India 15 328 0.5× 103 0.4× 100 0.4× 28 0.3× 64 0.7× 91 625
Randy P. Broussard United States 11 192 0.3× 120 0.5× 181 0.8× 50 0.5× 15 0.2× 36 416
K. Etemad United States 8 753 1.1× 140 0.5× 183 0.8× 20 0.2× 8 0.1× 12 840
D.L. Swets United States 7 1.2k 1.7× 244 0.9× 313 1.4× 22 0.2× 10 0.1× 9 1.4k
S.Z. Li Singapore 10 514 0.8× 118 0.5× 105 0.5× 13 0.1× 30 0.3× 12 667

Countries citing papers authored by Diego A. Socolinsky

Since Specialization
Citations

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

Fields of papers citing papers by Diego A. Socolinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego A. Socolinsky. 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 Diego A. Socolinsky. The network helps show where Diego A. Socolinsky may publish in the future.

Co-authorship network of co-authors of Diego A. Socolinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Diego A. Socolinsky. A scholar is included among the top collaborators of Diego A. Socolinsky 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 Diego A. Socolinsky. Diego A. Socolinsky 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.
2.
Socolinsky, Diego A.. (2007). Design and Deployment of Visible-Thermal Biometric Surveillance Systems. 1–2. 9 indexed citations
3.
Wolff, Lawrence B., Diego A. Socolinsky, & Christopher K. Eveland. (2006). Versatile low-power multispectral video fusion hardware. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6206. 620624–620624. 1 indexed citations
4.
Socolinsky, Diego A., Lawrence B. Wolff, & Andrew Lundberg. (2006). Image Intensification for Low-Light Face Recognition. 41–41. 1 indexed citations
5.
Wolff, Lawrence B., et al.. (2005). Advances in low-power visible/thermal IR video image fusion hardware. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5782. 54–54. 4 indexed citations
6.
Socolinsky, Diego A., et al.. (2005). Illumination invariant face recognition using thermal infrared imagery. 1. I–527. 108 indexed citations
7.
Eveland, Christopher K., Diego A. Socolinsky, Carey E. Priebe, & David J. Marchette. (2005). A Hierarchical Methodology for Class Detection Problems with Skewed Priors. Journal of Classification. 22(1). 17–48. 9 indexed citations
8.
Socolinsky, Diego A. & Andrea Selinger. (2004). Thermal face recognition over time. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 187–190 Vol.4. 38 indexed citations
9.
Socolinsky, Diego A. & Lawrence B. Wolff. (2003). A new visualization paradigm for multispectral imagery and data fusion. 319–324. 27 indexed citations
10.
Wolff, Lawrence B., Diego A. Socolinsky, & Christopher K. Eveland. (2003). Quantitative measurement of illumination invariance for face recognition using thermal infrared imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4820. 140–140. 35 indexed citations
11.
Wolff, Lawrence B., et al.. (2003). Image fusion of shortwave infrared (SWIR) and visible for detection of mines, obstacles, and camouflage. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5089. 1298–1298. 2 indexed citations
12.
Priebe, Carey E., et al.. (2003). Classification Using Class Cover Catch Digraphs. Journal of Classification. 20(1). 3–23. 35 indexed citations
13.
Wolff, Lawrence B., Diego A. Socolinsky, & Christopher K. Eveland. (2003). Using infrared sensor technology for face recognition and human identification. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5074. 757–757. 4 indexed citations
14.
Eveland, Christopher K., Diego A. Socolinsky, & Lawrence B. Wolff. (2003). Tracking human faces in infrared video. Image and Vision Computing. 21(7). 579–590. 53 indexed citations
15.
Socolinsky, Diego A. & Andrea Selinger. (2003). A comparative analysis of face recognition performance with visible and thermal infrared imagery. 4. 217–222. 135 indexed citations
16.
Socolinsky, Diego A. & Lawrence B. Wolff. (2002). Multispectral image visualization through first-order fusion. IEEE Transactions on Image Processing. 11(8). 923–931. 98 indexed citations
17.
Lundberg, Andrew, Lawrence B. Wolff, & Diego A. Socolinsky. (2002). New perspectives on geometric reflection theory from rough surfaces. 1. 225–232. 3 indexed citations
18.
Spruck, Joel & Diego A. Socolinsky. (2000). A variational approach to image fusion. 14 indexed citations
19.
Socolinsky, Diego A., et al.. (1999). <title>Brain imaging registration by correlation of first-order geometry</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3661. 860–867. 1 indexed citations
20.
Socolinsky, Diego A. & Lawrence B. Wolff. (1999). Image fusion for enhanced visualization of brain imaging. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3658. 352–352. 4 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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