Shailesh Kumar

728 total citations
20 papers, 508 citations indexed

About

Shailesh Kumar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Shailesh Kumar has authored 20 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Shailesh Kumar's work include Remote-Sensing Image Classification (6 papers), Face and Expression Recognition (5 papers) and Image and Signal Denoising Methods (2 papers). Shailesh Kumar is often cited by papers focused on Remote-Sensing Image Classification (6 papers), Face and Expression Recognition (5 papers) and Image and Signal Denoising Methods (2 papers). Shailesh Kumar collaborates with scholars based in United States and India. Shailesh Kumar's co-authors include Melba M. Crawford, Joydeep Ghosh, Damodar Panigrahy, Prasanna Kumar Sahu, Joydeep Ghosh, Risto Miikkulainen, James C. Gibeaut, Amy Neuenschwander, Risto Miikkulainen and S. Joe Qin and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Process Control and Journal of Applied Biomedicine.

In The Last Decade

Shailesh Kumar

18 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shailesh Kumar United States 9 219 170 129 92 85 20 508
ArulMurugan Ambikapathi Taiwan 13 706 3.2× 263 1.5× 134 1.0× 283 3.1× 90 1.1× 35 1.0k
Shao-Shan Chiang Taiwan 9 560 2.6× 166 1.0× 140 1.1× 291 3.2× 132 1.6× 24 847
Chengfan Li China 12 102 0.5× 76 0.4× 78 0.6× 106 1.2× 33 0.4× 66 497
Manoj Kumar Singh India 11 132 0.6× 87 0.5× 98 0.8× 67 0.7× 30 0.4× 39 395
Gang Zhang China 13 86 0.4× 250 1.5× 112 0.9× 61 0.7× 45 0.5× 57 624
Moumita Roy India 11 169 0.8× 60 0.4× 119 0.9× 112 1.2× 12 0.1× 37 329
Tianming Zhan China 17 497 2.3× 381 2.2× 144 1.1× 265 2.9× 43 0.5× 60 898
Leiquan Wang China 15 235 1.1× 326 1.9× 186 1.4× 114 1.2× 12 0.1× 69 704
Siyuan Hao China 14 488 2.2× 427 2.5× 80 0.6× 277 3.0× 31 0.4× 48 864
T. Chang United States 5 325 1.5× 797 4.7× 124 1.0× 45 0.5× 98 1.2× 8 1.0k

Countries citing papers authored by Shailesh Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Shailesh Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shailesh Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Shailesh Kumar. A scholar is included among the top collaborators of Shailesh Kumar 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 Shailesh Kumar. Shailesh Kumar 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.
Kumar, Shailesh, et al.. (2024). Assessment of Machine Learning Procedures for Forecasting Ship Fuel Ingestion. International Journal of Research Publication and Reviews. 5(1). 1059–1064. 1 indexed citations
2.
Kumar, Shailesh, et al.. (2023). A Compressive Sensing Codec Architecture for Ecg Signals with Adaptive Quantization and Stream Entropy Coding. SSRN Electronic Journal. 1 indexed citations
3.
Yadav, Kuldeep Singh, et al.. (2019). Real Time Face Recognition based on Convolution Neural Network. SSRN Electronic Journal. 2 indexed citations
4.
Kumar, Shailesh, Damodar Panigrahy, & Prasanna Kumar Sahu. (2018). Denoising of Electrocardiogram (ECG) signal by using empirical mode decomposition (EMD) with non-local mean (NLM) technique. Journal of Applied Biomedicine. 38(2). 297–312. 93 indexed citations
5.
Kumar, Shailesh, et al.. (2018). Denoising of pre‐stack seismic data using subspace estimation methods. IET Signal Processing. 12(8). 992–999. 4 indexed citations
6.
Kumar, Shailesh, et al.. (2018). Security and privacy solution for I-RFID based smart infrastructure health monitoring. 1–5. 1 indexed citations
7.
8.
Chandra, Siddhartha, Shailesh Kumar, & C. V. Jawahar. (2013). Learning Multiple Non-linear Sub-spaces Using K-RBMs. 1. 2778–2785. 7 indexed citations
9.
Kumar, Shailesh, Melba M. Crawford, & Joydeep Ghosh. (2003). A versatile framework for labelling imagery with a large number of classes. 4. 2829–2833. 10 indexed citations
10.
Kumar, Shailesh, Joydeep Ghosh, & Melba M. Crawford. (2002). Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis. Pattern Analysis and Applications. 5(2). 210–220. 122 indexed citations
11.
Kumar, Shailesh, Joydeep Ghosh, & Melba M. Crawford. (2002). Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis 1.
12.
Kumar, Shailesh, Joydeep Ghosh, & Melba M. Crawford. (2001). Best-bases feature extraction algorithms for classification of hyperspectral data. IEEE Transactions on Geoscience and Remote Sensing. 39(7). 1368–1379. 177 indexed citations
13.
Misra, Manish, et al.. (2001). Error based criterion for on-line wavelet data compression. Journal of Process Control. 11(6). 717–731. 9 indexed citations
14.
Kumar, Shailesh, Joydeep Ghosh, & Melba M. Crawford. (2000). <title>Classification of hyperspectral data using best-bases feature extraction algorithms</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4055. 362–373. 4 indexed citations
15.
Kumar, Shailesh, Joydeep Ghosh, & Melba M. Crawford. (2000). <title>Multiresolution feature extraction for pairwise classification of hyperspectral data</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3962. 60–71. 3 indexed citations
16.
Kumar, Shailesh, Joydeep Ghosh, & Melba M. Crawford. (2000). Modular learning through output space decomposition. 10 indexed citations
17.
Kumar, Shailesh & Joydeep Ghosh. (1999). GAMLS: A Generalized framework for Associative Modular Learning Systems. 6 indexed citations
18.
Crawford, Melba M., et al.. (1999). Fusion of airborne polarimetric and interferometric SAR for classification of coastal environments. IEEE Transactions on Geoscience and Remote Sensing. 37(3). 1306–1315. 35 indexed citations
19.
Kumar, Shailesh & Risto Miikkulainen. (1998). Confidence-based Q-Routing: An on-line adaptive network routing algorithm. 1998. 147–152. 14 indexed citations
20.
Kumar, Shailesh, et al.. (1996). On-line adaptation of a signal predistorter through dual reinforcement learning. International Conference on Machine Learning. 175–181. 9 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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