Kailash Shaw

665 total citations
38 papers, 391 citations indexed

About

Kailash Shaw is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kailash Shaw has authored 38 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Artificial Intelligence and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kailash Shaw's work include Gene expression and cancer classification (15 papers), Face and Expression Recognition (7 papers) and Rough Sets and Fuzzy Logic (5 papers). Kailash Shaw is often cited by papers focused on Gene expression and cancer classification (15 papers), Face and Expression Recognition (7 papers) and Rough Sets and Fuzzy Logic (5 papers). Kailash Shaw collaborates with scholars based in India, Singapore and Australia. Kailash Shaw's co-authors include Sashikala Mishra, Debahuti Mishra, Shruti Patil, P. Malathi, Ketan Kotecha, Satish Kumar, Deepali Vora, V. Vijayakumar, Kaberi Das and Srikanta Patnaik and has published in prestigious journals such as Frontiers in Public Health, Electronics and Informatics in Medicine Unlocked.

In The Last Decade

Kailash Shaw

33 papers receiving 366 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kailash Shaw India 9 212 76 69 61 50 38 391
Mohammad Mehdi Homayounpour Iran 12 353 1.7× 271 3.6× 39 0.6× 73 1.2× 21 0.4× 79 532
Sameh A. Salem Egypt 12 95 0.4× 27 0.4× 111 1.6× 102 1.7× 51 1.0× 53 430
T. Gireesh Kumar India 12 145 0.7× 126 1.7× 169 2.4× 110 1.8× 17 0.3× 47 396
Abdelmalek Amine Algeria 11 283 1.3× 43 0.6× 63 0.9× 41 0.7× 25 0.5× 75 420
Hyunki Lim South Korea 11 251 1.2× 48 0.6× 28 0.4× 167 2.7× 48 1.0× 16 342
Nabil A. Ismail Egypt 12 207 1.0× 135 1.8× 36 0.5× 129 2.1× 26 0.5× 60 474
Mohammed Nasser Al-Andoli Malaysia 12 122 0.6× 43 0.6× 82 1.2× 33 0.5× 14 0.3× 32 325
Reza Hassanpour Türkiye 10 108 0.5× 22 0.3× 55 0.8× 102 1.7× 28 0.6× 34 335
Muhammad Rafiq Mufti Pakistan 10 106 0.5× 36 0.5× 101 1.5× 103 1.7× 11 0.2× 43 339

Countries citing papers authored by Kailash Shaw

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kailash Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Kailash Shaw. A scholar is included among the top collaborators of Kailash Shaw 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 Kailash Shaw. Kailash Shaw 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
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Shaw, Kailash, et al.. (2023). Machine Learning and Optimization for Engineering Design. 2 indexed citations
4.
Shaw, Kailash, et al.. (2023). End-to-End Hyperspectral Image Classification Using Hybrid GCNN with SWIN Transformer. 1–8. 1 indexed citations
5.
Rout, Minakhi, et al.. (2023). Hybrid ResNet152-EML model for Geo-spatial image classification. International Journal of Information Technology. 16(2). 659–673. 7 indexed citations
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Mane, Deepak, et al.. (2022). EffResUNet: Encoder Decoder Architecture for Cloud-Type Segmentation. Big Data and Cognitive Computing. 6(4). 150–150. 5 indexed citations
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Mishra, Sashikala, et al.. (2022). Question Answer System: A State-of-Art Representation of Quantitative and Qualitative Analysis. Big Data and Cognitive Computing. 6(4). 109–109. 11 indexed citations
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Mishra, Sashikala, et al.. (2022). Deep Learning Approaches for Video Compression: A Bibliometric Analysis. Big Data and Cognitive Computing. 6(2). 44–44. 31 indexed citations
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Mishra, Sashikala, Kailash Shaw, Debahuti Mishra, et al.. (2022). Improving the Accuracy of Ensemble Machine Learning Classification Models Using a Novel Bit-Fusion Algorithm for Healthcare AI Systems. Frontiers in Public Health. 10. 858282–858282. 16 indexed citations
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Mishra, Sashikala, et al.. (2022). Machine Learning Styles for Diabetic Retinopathy Detection: A Review and Bibliometric Analysis. Big Data and Cognitive Computing. 6(4). 154–154. 12 indexed citations
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Shaw, Kailash, et al.. (2020). Spatial Information System Architecture for the Geographic Information System. International Journal of Recent Technology and Engineering (IJRTE). 8(5). 2769–2776.
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Shaw, Kailash, et al.. (2018). A survey paper on privacy of medical data storage on the cloud. International journal of advance research, ideas and innovations in technology. 4(3). 2223–2226.
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Das, Kaberi, et al.. (2016). A metaheuristic optimization framework for informative gene selection. Informatics in Medicine Unlocked. 4. 10–20. 12 indexed citations
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Mallick, Pradeep Kumar, Debahuti Mishra, Srikanta Patnaik, & Kailash Shaw. (2016). A Hybrid Approach for Simultaneous Gene Clustering and Gene Selection for Pattern Classification. Indian Journal of Science and Technology. 9(21). 3 indexed citations
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Nayak, Rudra Kalyan, Debahuti Mishra, Kailash Shaw, & Sashikala Mishra. (2012). Rough Set based Attribute Clustering for Sample Classification of Gene Expression Data. Procedia Engineering. 38. 1788–1792. 7 indexed citations
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Mishra, Sashikala, Kailash Shaw, & Debahuti Mishra. (2012). A New Meta-heuristic Bat Inspired Classification Approach for Microarray Data. Procedia Technology. 4. 802–806. 83 indexed citations
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Mishra, Debahuti, et al.. (2012). Phylogenetic Tree Construction for DNA Sequences using Clustering Methods. Procedia Engineering. 38. 1362–1366. 7 indexed citations
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Shaw, Kailash, et al.. (2012). A Novel Approach for Missing Value Imputation and Classification of Microarray Dataset. Procedia Engineering. 38. 1067–1071. 3 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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