Kailas Patil

99 total papers · 1.3k total citations
69 papers, 813 citations indexed

About

Kailas Patil is a scholar working on Plant Science, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kailas Patil has authored 69 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 14 papers in Information Systems and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kailas Patil's work include Smart Agriculture and AI (16 papers), Advanced Malware Detection Techniques (12 papers) and Web Application Security Vulnerabilities (10 papers). Kailas Patil is often cited by papers focused on Smart Agriculture and AI (16 papers), Advanced Malware Detection Techniques (12 papers) and Web Application Security Vulnerabilities (10 papers). Kailas Patil collaborates with scholars based in India, Thailand and United States. Kailas Patil's co-authors include Vishal Meshram, Vidula Meshram, Dinesh Bhagwan Hanchate, Meena Laad, Zhenkai Liang, Xinshu Dong, Suman Ramteke, Xiaolei Li, Xuxian Jiang and Ketan Kotecha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Multimedia Tools and Applications.

In The Last Decade

Kailas Patil

58 papers receiving 752 citations

Hit Papers

Machine learning in agric... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kailas Patil 326 141 117 112 89 69 813
Abdul Bais 245 0.8× 57 0.4× 250 2.1× 97 0.9× 24 0.3× 84 869
Himadri Nath Saha 149 0.5× 47 0.3× 120 1.0× 28 0.3× 52 0.6× 71 1.0k
Bifta Sama Bari 365 1.1× 327 2.3× 41 0.4× 156 1.4× 70 0.8× 27 961
Mercè Teixidó 198 0.6× 60 0.4× 143 1.2× 65 0.6× 88 1.0× 52 719
Jaafar Alghazo 165 0.5× 35 0.2× 280 2.4× 77 0.7× 164 1.8× 64 982
Hai Vu 157 0.5× 60 0.4× 332 2.8× 126 1.1× 131 1.5× 100 806
Fitri Utaminingrum 102 0.3× 48 0.3× 250 2.1× 60 0.5× 173 1.9× 110 775
Thi‐Lan Le 157 0.5× 119 0.8× 578 4.9× 56 0.5× 238 2.7× 134 1.0k
Kemal Akyol 483 1.5× 99 0.7× 129 1.1× 195 1.7× 17 0.2× 46 1.0k
Rafael Rieder 550 1.7× 28 0.2× 128 1.1× 201 1.8× 83 0.9× 46 1.0k

Countries citing papers authored by Kailas Patil

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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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