Kailash Shaw
Impact in
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Papers in
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- Gene expression and cancer classification 15
- Fractal and DNA sequence analysis 4
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- Evolutionary Algorithms and Applications 4
- Co-authors
- Sashikala Mishra (17 shared papers)Debahuti Mishra (19 shared papers)Shruti Patil (5 shared papers)P. Malathi (1 shared paper)Ketan Kotecha (4 shared papers)Deepali Vora (3 shared papers)Satish Kumar (2 shared papers)V. Vijayakumar (1 shared paper)
In The Last Decade
Kailash Shaw
33 papers receiving 386 citations
Peers
Comparison fields: 5 of 91
- Signal Processing 77
- Artificial Intelligence 214
- Health Information Management 15
- Computer Vision and Pattern Recognition 63
- Computer Networks and Communications 70
Countries citing papers authored by Kailash Shaw
This map shows the geographic impact of Kailash Shaw'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 Kailash Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailash Shaw more than expected).
Fields of papers citing papers by Kailash Shaw
This network shows the impact of papers produced by Kailash Shaw. 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 Kailash Shaw. The network helps show where Kailash Shaw may publish in the future.
Co-authors
The 19 scholars most cited alongside Kailash Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 82 | |
| 2 | 2022 | 74 | |
| 3 | 2016 | 60 | |
| 4 | 2022 | 34 | |
| 5 | 2023 | 18 | |
| 6 | 2022 | 16 | |
| 7 | 2022 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 2016 | 12 | |
| 10 | 2023 | 8 | |
| 11 | 2012 | 8 | |
| 12 | 2012 | 8 | |
| 13 | 2022 | 7 | |
| 14 | 2012 | 7 | |
| 15 | 2011 | 5 | |
| 16 | 2012 | 4 | |
| 17 | 2012 | 4 | |
| 18 | 2016 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2003 | 4 |
About Kailash Shaw
Kailash Shaw is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems and Computational Theory and Mathematics, having authored 38 papers that have together received 406 indexed citations. Recurring topics across this work include Gene expression and cancer classification (15 papers), Face and Expression Recognition (7 papers), Rough Sets and Fuzzy Logic (5 papers), Data Mining Algorithms and Applications (4 papers), Evolutionary Algorithms and Applications (4 papers), Remote-Sensing Image Classification (4 papers), Fractal and DNA sequence analysis (4 papers) and Remote Sensing and Land Use (3 papers). The work is most often cited by research in Signal Processing (77 citations), Artificial Intelligence (214 citations), Health Information Management (15 citations), Computer Vision and Pattern Recognition (63 citations) and Computer Networks and Communications (70 citations). Kailash Shaw has collaborated with scholars based in India, Singapore and Australia. Frequent co-authors include Sashikala Mishra, Debahuti Mishra, Shruti Patil, P. Malathi, Ketan Kotecha, Deepali Vora, Satish Kumar, V. Vijayakumar, Kaberi Das and Srikanta Patnaik. Their work appears in journals such as Big Data and Cognitive Computing, Indian Journal of Science and Technology, Frontiers in Public Health, Electronics and International Journal of Information Technology.
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.