Kailas Patil
- Plant Science top 10%
- Cognitive Neuroscience top 10%
- Computer Vision and Pattern Recognition top 10%
- Analytical Chemistry top 5%
- Human-Computer Interaction top 5%
- Co-authors
- Vishal MeshramVidula MeshramDinesh Bhagwan HanchateMeena LaadXinshu DongZhenkai LiangSuman RamtekeXuxian Jiang
- Topics
- Smart Agriculture and AI (15 papers)Advanced Malware Detection Techniques (12 papers)Web Application Security Vulnerabilities (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsMultimedia Tools and Applications
- Partner nations
- IndiaThailandUnited States
In The Last Decade
Kailas Patil
58 papers receiving 764 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Plant Science 331
- Cognitive Neuroscience 141
- Computer Vision and Pattern Recognition 116
- Analytical Chemistry 113
- Human-Computer Interaction 89
Countries citing papers authored by Kailas Patil
This map shows the geographic impact of Kailas Patil'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 Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailas Patil more than expected).
Fields of papers citing papers by Kailas Patil
This network shows the impact of papers produced by Kailas Patil. 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 Patil. The network helps show where Kailas Patil may publish in the future.
Co-authorship network of co-authors of Kailas Patil
This figure shows the co-authorship network connecting the top 25 collaborators of Kailas Patil. A scholar is included among the top collaborators of Kailas Patil 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 Kailas Patil. Kailas Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 31 | |
| 6 | 10 | |
| 7 | 9 | |
| 8 | 12 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 24 | |
| 12 | 6 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 33 | |
| 16 | 10 | |
| 17 | 3 | |
| 18 | 74 | |
| 19 | Securing Third-party Web Resources Using Subresource Integrity Automation | 0 |
| 20 | 15 |
About Kailas Patil
Kailas Patil is a scholar working on Signal Processing, Health Informatics and Environmental Engineering, having authored 70 papers that have together received 827 indexed citations. Recurring topics across this work include Smart Agriculture and AI (15 papers), Advanced Malware Detection Techniques (12 papers) and Web Application Security Vulnerabilities (10 papers). The work is most often cited by research in Human-Computer Interaction (89 citations), Analytical Chemistry (113 citations) and Plant Science (331 citations). Kailas Patil has collaborated with scholars based in India, Thailand and United States. Frequent co-authors include Vishal Meshram, Vidula Meshram, Dinesh Bhagwan Hanchate, Meena Laad, Xinshu Dong, Zhenkai Liang, Suman Ramteke, Xuxian Jiang, Xiaolei Li and Jian Mao. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Multimedia Tools and Applications.
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.