P. Anandan

4.0k total citations
55 papers, 1.5k citations indexed

About

P. Anandan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, P. Anandan has authored 55 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 9 papers in Artificial Intelligence. Recurrent topics in P. Anandan's work include Advanced Vision and Imaging (22 papers), Medical Image Segmentation Techniques (9 papers) and Advanced Image Processing Techniques (7 papers). P. Anandan is often cited by papers focused on Advanced Vision and Imaging (22 papers), Medical Image Segmentation Techniques (9 papers) and Advanced Image Processing Techniques (7 papers). P. Anandan collaborates with scholars based in United States, India and Israel. P. Anandan's co-authors include M. Irani, Richard Szeliski, S.T. Hsu, Michal Irani, Simon Baker, Yong Rui, Philip H. S. Torr, Edward H. Adelson, Kristin Dana and Rakesh Kumar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neural Networks and Materials Science in Semiconductor Processing.

In The Last Decade

P. Anandan

48 papers receiving 1.4k citations

Peers

P. Anandan
J.-Y. Bouguet United States
Alex Colburn United States
Loong‐Fah Cheong Singapore
H. Harlyn Baker United States
Jean‐Charles Bazin South Korea
Quang-Tuan Luong France
Wenxiu Sun Hong Kong
Jan‐Olof Eklundh Sweden
Joon‐Young Lee South Korea
J.-Y. Bouguet United States
P. Anandan
Citations per year, relative to P. Anandan P. Anandan (= 1×) peers J.-Y. Bouguet

Countries citing papers authored by P. Anandan

Since Specialization
Citations

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

Fields of papers citing papers by P. Anandan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Anandan

This figure shows the co-authorship network connecting the top 25 collaborators of P. Anandan. A scholar is included among the top collaborators of P. Anandan 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 P. Anandan. P. Anandan 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.
Murugapandiyan, P., et al.. (2025). Recent advancement in ScAlN/GaN high electron mobility transistors: Materials, properties, and device performance. Materials Science in Semiconductor Processing. 193. 109509–109509. 4 indexed citations
2.
3.
Anandan, P. & S. R. Sannasi Chakravarthy. (2024). Advanced Cancer Classification Using CNN-Transformer Integration on High-Resolution Histopathological Images. 257–263. 1 indexed citations
4.
5.
Suganyadevi, S., et al.. (2023). Integrated Model for Covid 19 Disease Diagnosis using Deep Learning Approach. 3 indexed citations
6.
Anandan, P., et al.. (2022). Performance Analysis of Deep Learning Techniques on Automatic Brain Tumour Grading. 2022 International Conference on Computer Communication and Informatics (ICCCI). 1–5.
7.
Anandan, P., et al.. (2021). Data analytics and resource planning using deep learning for overcoming challenges of COVID-19. Annals of the Romanian Society for Cell Biology. 25(2). 1884–1889. 4 indexed citations
8.
Anandan, P.. (2020). Medical Image Denoising using Fast Discrete Curvelet Transform. International Journal of Emerging Trends in Engineering Research. 8(7). 3760–3765. 10 indexed citations
9.
10.
Anandan, P. & R. S. Sabeenian. (2014). Curvelet based Image Compression using Support Vector Machine and Core Vector Machine – A Review. 4(15). 673–679. 6 indexed citations
11.
Anandan, P., et al.. (2013). Image Compression Techniques using Curvelet, Contourlet, Ridgelet and Wavelet Transforms – A Review. 5(7). 267–270. 5 indexed citations
12.
Chellappa, Rama, P. Anandan, A. N. Rajagopalan, P. J. Narayanan, & Philip H. S. Torr. (2010). Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing. 4 indexed citations
13.
Irani, M., P. Anandan, & Marion C. Cohen. (2002). Direct recovery of planar-parallax from multiple frames. IEEE Transactions on Pattern Analysis and Machine Intelligence. 24(11). 1528–1534. 37 indexed citations
14.
Torr, Philip H. S., Richard Szeliski, & P. Anandan. (2001). An integrated Bayesian approach to layer extraction from image sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence. 23(3). 297–303. 107 indexed citations
15.
Irani, Michal, et al.. (1995). Video compression using mosaic representations. Signal Processing Image Communication. 7(4-6). 529–552. 54 indexed citations
16.
Irani, Michal, et al.. (1995). <title>Mosaic-based video compression</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2419. 242–253. 19 indexed citations
17.
Black, Michael J. & P. Anandan. (1990). Constraints for the early detection of discontinuity from motion. National Conference on Artificial Intelligence. 1060–1066. 19 indexed citations
18.
Anandan, P.. (1990). Low-Level Representations for Robot Vision. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1196. 82–82.
19.
Mjolsness, Eric, Gene Gindi, & P. Anandan. (1988). Neural Networks for Model Matching and Perceptual Organization. Neural Information Processing Systems. 1. 618–625. 2 indexed citations
20.
Anandan, P.. (1987). Measuring Visual Motion From Image Sequences. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 117 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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