R.L. Kashyap

8.1k total citations · 1 hit paper
237 papers, 5.5k citations indexed

About

R.L. Kashyap is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, R.L. Kashyap has authored 237 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Computer Vision and Pattern Recognition, 76 papers in Artificial Intelligence and 45 papers in Signal Processing. Recurrent topics in R.L. Kashyap's work include Manufacturing Process and Optimization (28 papers), Image and Signal Denoising Methods (27 papers) and Image Retrieval and Classification Techniques (16 papers). R.L. Kashyap is often cited by papers focused on Manufacturing Process and Optimization (28 papers), Image and Signal Denoising Methods (27 papers) and Image Retrieval and Classification Techniques (16 papers). R.L. Kashyap collaborates with scholars based in United States, India and Canada. R.L. Kashyap's co-authors include Rama Chellappa, Chong-Nam Chu, B. John Oommen, M. Marefat, Shu‐Ching Chen, Kie B. Eom, A. Ramachandra Rao, Mei‐Ling Shyu, Nageswara S. V. Rao and S. S. Iyengar and has published in prestigious journals such as Journal of the American Statistical Association, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Automatic Control.

In The Last Decade

R.L. Kashyap

212 papers receiving 5.1k citations

Hit Papers

Building Skeleton Models via 3-D Medial Surface Axis Thin... 1994 2026 2004 2015 1994 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.L. Kashyap United States 35 2.0k 1.3k 636 633 588 237 5.5k
Ruth Silverman United States 14 2.6k 1.3× 2.0k 1.5× 1.0k 1.6× 284 0.4× 204 0.3× 27 6.5k
Angela Y. Wu United States 17 2.8k 1.4× 2.0k 1.5× 1.0k 1.6× 292 0.5× 201 0.3× 53 6.9k
Vladimir Cherkassky United States 30 1.3k 0.6× 2.5k 1.9× 587 0.9× 871 1.4× 204 0.3× 128 6.9k
W. Hubbard United States 10 3.3k 1.7× 2.9k 2.2× 508 0.8× 355 0.6× 272 0.5× 23 8.1k
Tapas Kanungo United States 22 2.3k 1.1× 2.2k 1.7× 727 1.1× 213 0.3× 210 0.4× 75 5.9k
J. S. Denker United States 20 3.9k 2.0× 3.6k 2.7× 614 1.0× 468 0.7× 300 0.5× 39 9.9k
Jack Sklansky United States 31 2.4k 1.2× 1.6k 1.2× 387 0.6× 266 0.4× 178 0.3× 124 5.0k
Andrew K. C. Wong Canada 32 2.7k 1.4× 2.9k 2.2× 452 0.7× 421 0.7× 303 0.5× 161 7.8k
D. Henderson United States 15 4.4k 2.2× 3.8k 2.9× 702 1.1× 503 0.8× 355 0.6× 27 10.5k
Nathan S. Netanyahu United States 23 3.1k 1.6× 2.2k 1.7× 1.2k 1.9× 303 0.5× 196 0.3× 90 7.5k

Countries citing papers authored by R.L. Kashyap

Since Specialization
Citations

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

Fields of papers citing papers by R.L. Kashyap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.L. Kashyap. 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 R.L. Kashyap. The network helps show where R.L. Kashyap may publish in the future.

Co-authorship network of co-authors of R.L. Kashyap

This figure shows the co-authorship network connecting the top 25 collaborators of R.L. Kashyap. A scholar is included among the top collaborators of R.L. Kashyap 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 R.L. Kashyap. R.L. Kashyap 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.
Kashyap, R.L., et al.. (2024). Prominent solution for solar panel defect detection using AI-based computer vision technology with IoT sensors in the solar panel manufacturing industry. International Journal of Information Technology. 3 indexed citations
2.
Kashyap, R.L., et al.. (2020). Immutable and Privacy Protected E-Certificate Repository on Blockchain. International Journal of Engineering and Advanced Technology. 9(3). 1631–1635. 1 indexed citations
3.
Kashyap, R.L., et al.. (2003). Diagnosing novel faults. 84–93.
4.
Chen, Shu‐Ching, R.L. Kashyap, & Arif Ghafoor. (2002). Semantic Models for Multimedia Database Searching and Browsing. Kluwer Academic Publishers eBooks. 28 indexed citations
5.
Prasad, Lakshman, S. Sitharama Iyengar, Raghuveer Rao, & R.L. Kashyap. (2002). Fault-tolerant integration of abstract sensor estimates using multiresolution decomposition. 171–176. 3 indexed citations
6.
Chen, Shu‐Ching, Mei‐Ling Shyu, & R.L. Kashyap. (2001). Augmented Transition Network as a Semantic Model for Video Data. 37(15). 2082–2085. 31 indexed citations
7.
Dağtaş, S., Wasfi G. Al-Khatib, Arif Ghafoor, & R.L. Kashyap. (2000). Models for motion-based video indexing and retrieval. IEEE Transactions on Image Processing. 9(1). 88–101. 78 indexed citations
8.
Gelfand, S.B., et al.. (1998). Recursive estimation of images using non-Gaussian autoregressive models. IEEE Transactions on Image Processing. 7(10). 1439–1452. 17 indexed citations
9.
Kashyap, R.L., et al.. (1990). Study of combination of belief intervals in lattice-structured networks. 381–399. 1 indexed citations
10.
Kashyap, R.L., et al.. (1989). Study of combination of belief intervals in lattice-structured networks. International Journal of Man-Machine Studies. 30(2). 193–211. 3 indexed citations
11.
Iyengar, S. S. & R.L. Kashyap. (1988). Guest Editor's Introduction: Image Databases. IEEE Transactions on Software Engineering. 14(5). 608–610. 17 indexed citations
12.
Rao, Nageswara S. V., S. S. Iyengar, & R.L. Kashyap. (1988). An average-case analysis of MAT and inverted file. Theoretical Computer Science. 62(3). 251–266. 2 indexed citations
13.
Kumara, Soundar, R.L. Kashyap, & Colin L. Moodie. (1988). Application of expert systems and pattern recognition methodologies to facilities layout planning. International Journal of Production Research. 26(5). 905–930. 41 indexed citations
14.
Kashyap, R.L., et al.. (1987). Using dynamic memory structures in planning and its application to manufacturing. British Journal of Anaesthesia. 80(2). 273–273. 10 indexed citations
15.
Sheu, Phillip C.‐Y. & R.L. Kashyap. (1987). Designing Control Systems with Knowledge. American Control Conference. 941–946. 2 indexed citations
16.
Oommen, B. John, S. S. Iyengar, Nageswara S. V. Rao, & R.L. Kashyap. (1986). Robot navigation in unknown terrains of convex polygonal obstacles using learned visibility graphs. National Conference on Artificial Intelligence. 1101–1105. 11 indexed citations
17.
Soyster, Allen L., et al.. (1986). An introduction to artificial intelligence (Artificial intelligence series,Part 1). 18(12). 8–20. 1 indexed citations
18.
Kashyap, R.L., et al.. (1984). Synthesis and Estimation of Random Fields Using Long-Correlation Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. PAMI-6(6). 800–809. 46 indexed citations
19.
Kashyap, R.L. & B. John Oommen. (1983). Similarity measures for sets of strings. International Journal of Computer Mathematics. 13(2). 95–104. 6 indexed citations
20.
Kashyap, R.L.. (1979). Author's reply. IEEE Transactions on Automatic Control. 24(3). 517–518. 1 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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