Kailas Devadkar

10 papers and 169 indexed citations i.

About

Kailas Devadkar is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Kailas Devadkar has authored 10 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 3 papers in Information Systems. Recurrent topics in Kailas Devadkar’s work include COVID-19 diagnosis using AI (2 papers), IoT and Edge/Fog Computing (2 papers) and Cloud Computing and Resource Management (2 papers). Kailas Devadkar is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), IoT and Edge/Fog Computing (2 papers) and Cloud Computing and Resource Management (2 papers). Kailas Devadkar collaborates with scholars based in India. Kailas Devadkar's co-authors include Kshitij Shah and Naisha Shah and has published in prestigious journals such as Journal of Physics Conference Series, arXiv (Cornell University) and Procedia Computer Science.

In The Last Decade

Co-authorship network of co-authors of Kailas Devadkar i

Fields of papers citing papers by Kailas Devadkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kailas Devadkar

Since Specialization
Citations

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

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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2025