Kailash Shaw

665 citations
38 papers · 391 indexed · h-index 9
Topics
Gene expression and cancer classification (15 papers)Face and Expression Recognition (7 papers)Rough Sets and Fuzzy Logic (5 papers)
Partner nations
IndiaSingaporeAustralia

In The Last Decade

Kailash Shaw

33 papers receiving 366 citations

Peers

Kailash Shaw
Comparison fields: 5 of 91
  • Artificial Intelligence 212
  • Signal Processing 76
  • Computer Networks and Communications 69
  • Computer Vision and Pattern Recognition 61
  • Molecular Biology 50
Replace Mohammed Nasser Al-Andoli with:
Mohammed Nasser Al-Andoli Malaysia
Parul Agarwal India
Muhammad Rafiq Mufti Pakistan
Ajit Kumar Nayak India
Nabil A. Ismail Egypt
Alceu de Souza Britto Brazil
Sanjeev Sharma India
Richa Gupta India
Mohammad Mehdi Homayounpour Iran
Kailash Shaw relative to Mohammed Nasser Al-Andoli Malaysia Mohammed Nasser Al-Andoli's profile →
Citations per field
00.5×10×12.5×
Mohammed Nasser Al-Andoli · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 1
3 2
4 1
5 7
6 1
7 5
8 11
9 31
10 16
11 12
12 0
13
A survey paper on privacy of medical data storage on the cloud
0
14 12
15 3
16 7
17 1
18 83
19 7
20 3

About Kailash Shaw

Kailash Shaw is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 38 papers that have together received 391 indexed citations. Recurring topics across this work include Gene expression and cancer classification (15 papers), Face and Expression Recognition (7 papers) and Rough Sets and Fuzzy Logic (5 papers). The work is most often cited by research in Signal Processing (76 citations), Artificial Intelligence (212 citations) and Health Information Management (16 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, Satish Kumar, Deepali Vora, V. Vijayakumar, Kaberi Das and Srikanta Patnaik. Their work appears in journals such as Frontiers in Public Health, Electronics and Informatics in Medicine Unlocked.

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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