Ruth Silverman

9.8k total citations · 2 hit papers
27 papers, 6.5k citations indexed

About

Ruth Silverman is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Ruth Silverman has authored 27 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 11 papers in Computer Graphics and Computer-Aided Design and 6 papers in Signal Processing. Recurrent topics in Ruth Silverman's work include Computational Geometry and Mesh Generation (11 papers), Data Management and Algorithms (6 papers) and Advanced Statistical Methods and Models (5 papers). Ruth Silverman is often cited by papers focused on Computational Geometry and Mesh Generation (11 papers), Data Management and Algorithms (6 papers) and Advanced Statistical Methods and Models (5 papers). Ruth Silverman collaborates with scholars based in United States, Israel and Germany. Ruth Silverman's co-authors include David M. Mount, Angela Y. Wu, Nathan S. Netanyahu, Christine Piatko, Tapas Kanungo, Sunil Arya, Azriel Rosenfeld, Longin Jan Latecki, Ian Male and Paul Wright and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Annals of the New York Academy of Sciences and IEEE Transactions on Image Processing.

In The Last Decade

Ruth Silverman

27 papers receiving 6.0k citations

Hit Papers

An efficient k-means clustering algorithm: analysis and i... 1998 2026 2007 2016 2002 1998 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruth Silverman United States 14 2.6k 2.0k 1.0k 591 586 27 6.5k
Angela Y. Wu United States 17 2.8k 1.1× 2.0k 1.0× 1.0k 1.0× 601 1.0× 719 1.2× 53 6.9k
Nathan S. Netanyahu United States 23 3.1k 1.2× 2.2k 1.1× 1.2k 1.2× 780 1.3× 735 1.3× 90 7.5k
S. Sathiya Keerthi India 29 3.5k 1.3× 4.1k 2.1× 583 0.6× 489 0.8× 455 0.8× 72 9.7k
Christine Piatko United States 19 2.1k 0.8× 2.1k 1.0× 683 0.7× 233 0.4× 531 0.9× 57 5.8k
David M. Mount United States 29 3.7k 1.4× 2.3k 1.2× 1.7k 1.6× 983 1.7× 858 1.5× 123 9.1k
Tapas Kanungo United States 22 2.3k 0.9× 2.2k 1.1× 727 0.7× 258 0.4× 603 1.0× 75 5.9k
Edwin R. Hancock United Kingdom 43 4.6k 1.7× 2.4k 1.2× 967 0.9× 531 0.9× 300 0.5× 485 7.4k
Mehdi Mirza Canada 5 3.9k 1.5× 3.1k 1.6× 719 0.7× 310 0.5× 365 0.6× 5 9.2k
Mark E. Shields United States 3 3.1k 1.2× 4.3k 2.2× 814 0.8× 285 0.5× 416 0.7× 6 10.7k
D.P. Huttenlocher United States 27 4.6k 1.7× 1.1k 0.6× 490 0.5× 1.1k 1.8× 420 0.7× 43 7.3k

Countries citing papers authored by Ruth Silverman

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Silverman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruth Silverman

This figure shows the co-authorship network connecting the top 25 collaborators of Ruth Silverman. A scholar is included among the top collaborators of Ruth Silverman 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 Ruth Silverman. Ruth Silverman 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.
Mount, David M., et al.. (2006). A practical approximation algorithm for the LMS line estimator. Computational Statistics & Data Analysis. 51(5). 2461–2486. 24 indexed citations
3.
Kanungo, Tapas, David M. Mount, Nathan S. Netanyahu, et al.. (2004). A local search approximation algorithm for k-means clustering. Computational Geometry. 28(2-3). 89–112. 184 indexed citations
4.
Kanungo, Tapas, David M. Mount, Nathan S. Netanyahu, et al.. (2002). An efficient k-means clustering algorithm: analysis and implementation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 24(7). 881–892. 3878 indexed citations breakdown →
5.
Kanungo, Tapas, David M. Mount, Nathan S. Netanyahu, et al.. (2002). A local search approximation algorithm for k-means clustering. 10–18. 261 indexed citations
6.
Mount, David M., et al.. (2001). Approximating large convolutions in digital images. IEEE Transactions on Image Processing. 10(12). 1826–1835. 3 indexed citations
7.
Mount, David M., Nathan S. Netanyahu, Ruth Silverman, & Angela Y. Wu. (2000). Chromatic nearest neighbor searching: A query sensitive approach☆☆A preliminary version of this paper appeared in the Proceedings of the 7th Canadian Conference on Computational Geometry, 1995, pp. 261–266.. Computational Geometry. 17(3-4). 97–119. 5 indexed citations
8.
Kanungo, Tapas, David M. Mount, Nathan S. Netanyahu, et al.. (2000). The analysis of a simple k -means clustering algorithm. 100–109. 67 indexed citations
9.
Kanungo, Tapas, David M. Mount, Nathan S. Netanyahu, et al.. (1999). Computing nearest neighbors for moving points and applications to clustering. Symposium on Discrete Algorithms. 931–932. 16 indexed citations
10.
Arya, Sunil, David M. Mount, Nathan S. Netanyahu, Ruth Silverman, & Angela Y. Wu. (1998). An optimal algorithm for approximate nearest neighbor searching fixed dimensions. Journal of the ACM. 45(6). 891–923. 1501 indexed citations breakdown →
11.
Mount, David M., et al.. (1997). A practical approximation algorithm for the LMS line estimator. Symposium on Discrete Algorithms. 473–482. 11 indexed citations
12.
Silverman, Ruth. (1996). Simulation for computer science majors. 1395–1400. 2 indexed citations
13.
Mount, David M., Ruth Silverman, & Angela Y. Wu. (1996). On the Area of Overlap of Translated Polygons. Computer Vision and Image Understanding. 64(1). 53–61. 36 indexed citations
14.
Latecki, Longin Jan, Azriel Rosenfeld, & Ruth Silverman. (1995). Generalized convexity: CP3 and boundaries of convex sets. Pattern Recognition. 28(8). 1191–1199. 5 indexed citations
15.
Arya, Sunil, David M. Mount, Nathan S. Netanyahu, Ruth Silverman, & Angela Y. Wu. (1994). An optimal algorithm for approximate nearest neighbor searching. Symposium on Discrete Algorithms. 573–582. 389 indexed citations
16.
Mount, David M. & Ruth Silverman. (1993). Minimum enclosures with specified angles. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1832. 80–80. 1 indexed citations
17.
Silverman, Ruth. (1980). Communal Education: The Society of Brothers.. Young children. 35(5). 15–20. 1 indexed citations
18.
Silverman, Ruth, et al.. (1979). GENERALIZATIONS OF PROPERTY B. Annals of the New York Academy of Sciences. 319(1). 349–353. 3 indexed citations
19.
Silverman, Ruth, et al.. (1976). On starshaped sets and Helly-type theorems. Pacific Journal of Mathematics. 62(1). 37–41. 28 indexed citations
20.
Silverman, Ruth. (1973). Decomposition of plane convex sets. II. Sets associated with a width function. Pacific Journal of Mathematics. 48(2). 497–502. 21 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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