T. Simchony

541 total citations
12 papers, 336 citations indexed

About

T. Simchony is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, T. Simchony has authored 12 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in T. Simchony's work include Medical Image Segmentation Techniques (6 papers), Sparse and Compressive Sensing Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). T. Simchony is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Sparse and Compressive Sensing Techniques (4 papers) and Image and Signal Denoising Methods (4 papers). T. Simchony collaborates with scholars based in United States and Israel. T. Simchony's co-authors include Rama Chellappa, Min Shao, B.S. Manjunath and H. Jinchi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and CVGIP Image Understanding.

In The Last Decade

T. Simchony

9 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Simchony United States 7 250 85 71 62 38 12 336
Kolmogorov United States 4 444 1.8× 65 0.8× 81 1.1× 46 0.7× 38 1.0× 4 520
Frédéric Cao France 12 316 1.3× 31 0.4× 49 0.7× 82 1.3× 33 0.9× 30 456
Gloria Haro Spain 14 251 1.0× 28 0.3× 96 1.4× 53 0.9× 40 1.1× 38 437
Barthold Lichtenbelt United States 4 238 1.0× 234 2.8× 142 2.0× 14 0.2× 34 0.9× 7 420
D. Sudheer Reddy India 7 246 1.0× 14 0.2× 31 0.4× 78 1.3× 11 0.3× 22 333
Robert R. Lewis United States 7 80 0.3× 96 1.1× 96 1.4× 9 0.1× 15 0.4× 27 299
Christian Lessig Germany 9 159 0.6× 88 1.0× 130 1.8× 8 0.1× 21 0.6× 27 341
Z. Fan United States 7 409 1.6× 17 0.2× 97 1.4× 195 3.1× 36 0.9× 11 549
Bernard Péroche France 12 182 0.7× 210 2.5× 85 1.2× 14 0.2× 9 0.2× 32 432
I. Bogdanova Switzerland 9 274 1.1× 15 0.2× 36 0.5× 28 0.5× 13 0.3× 18 340

Countries citing papers authored by T. Simchony

Since Specialization
Citations

This map shows the geographic impact of T. Simchony'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 T. Simchony with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Simchony more than expected).

Fields of papers citing papers by T. Simchony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Simchony

This figure shows the co-authorship network connecting the top 25 collaborators of T. Simchony. A scholar is included among the top collaborators of T. Simchony 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 T. Simchony. T. Simchony is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Simchony, T.. (2015). Parallel deterministic and stochastic optimization algorithms for computer vision. University of Southern California Digital Library.
3.
Jinchi, H., T. Simchony, & Rama Chellappa. (2005). Stochastic relaxation for MAP restoration of gray level images with multiplicative noise. 12. 1236–1239.
4.
Simchony, T. & Rama Chellappa. (2003). Stochastic and deterministic algorithms for MAP texture segmentation. 52. 1120–1123. 5 indexed citations
5.
Simchony, T., et al.. (2003). Graduated nonconvexity algorithm for image estimation using compound Gauss Markov field models. International Conference on Acoustics, Speech, and Signal Processing. 1417–1420. 3 indexed citations
6.
Shao, Min, T. Simchony, & Rama Chellappa. (2003). New algorithms from reconstruction of a 3-D depth map from one or more images. 530–535. 14 indexed citations
7.
Chellappa, Rama, B.S. Manjunath, & T. Simchony. (1992). Texture segmentation with neural networks. Prentice-Hall, Inc eBooks. 37–62. 17 indexed citations
8.
Shao, Min, Rama Chellappa, & T. Simchony. (1991). Reconstructing a 3-D depth map from one or more images. CVGIP Image Understanding. 53(2). 219–226. 27 indexed citations
9.
Simchony, T., Rama Chellappa, & Min Shao. (1990). Direct analytical methods for solving Poisson equations in computer vision problems. IEEE Transactions on Pattern Analysis and Machine Intelligence. 12(5). 435–446. 160 indexed citations
10.
Manjunath, B.S., T. Simchony, & Rama Chellappa. (1990). Stochastic and deterministic networks for texture segmentation. IEEE Transactions on Acoustics Speech and Signal Processing. 38(6). 1039–1049. 78 indexed citations
11.
Simchony, T., et al.. (1990). Relaxation algorithms for MAP estimation of gray-level images with multiplicative noise. IEEE Transactions on Information Theory. 36(3). 608–613. 14 indexed citations
12.
Simchony, T., et al.. (1989). Pyramid implementation of optimal-step conjugate-search algorithms for some low-level vision problems. IEEE Transactions on Systems Man and Cybernetics. 19(6). 1408–1425. 18 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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