S. T. Patil

40 total papers · 447 total citations
24 papers, 267 citations indexed

About

S. T. Patil is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Neurology. According to data from OpenAlex, S. T. Patil has authored 24 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 4 papers in Neurology. Recurrent topics in S. T. Patil's work include Data Stream Mining Techniques (7 papers), Brain Tumor Detection and Classification (4 papers) and Machine Learning and Data Classification (4 papers). S. T. Patil is often cited by papers focused on Data Stream Mining Techniques (7 papers), Brain Tumor Detection and Classification (4 papers) and Machine Learning and Data Classification (4 papers). S. T. Patil collaborates with scholars based in India, Switzerland and Iraq. S. T. Patil's co-authors include Sunil L. Bangare, G. Pradeepini, M. L. Dhore, E.W. Abel, D. S. Bormane and Mohamed Dawood Shamout and has published in prestigious journals such as Journal of King Saud University - Computer and Information Sciences, International Journal of Advanced Computer Science and Applications and Journal of Medical Engineering & Technology.

In The Last Decade

S. T. Patil

19 papers receiving 213 citations

Author Peers

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

Author Last Decade Papers Cites
S. T. Patil 102 59 39 27 22 24 267
K. Thinakaran 87 0.9× 72 1.2× 33 0.8× 19 0.7× 21 1.0× 23 304
R. Suganya 135 1.3× 61 1.0× 59 1.5× 17 0.6× 17 0.8× 31 311
Soumadip Ghosh 139 1.4× 32 0.5× 39 1.0× 14 0.5× 13 0.6× 23 309
Amr Abozeid 59 0.6× 63 1.1× 42 1.1× 58 2.1× 27 1.2× 23 254
Osama R. Shahin 84 0.8× 35 0.6× 37 0.9× 54 2.0× 19 0.9× 30 261
Ko-Wei Huang 122 1.2× 41 0.7× 24 0.6× 33 1.2× 17 0.8× 29 265
Ranjan Walia 46 0.5× 48 0.8× 41 1.1× 15 0.6× 15 0.7× 36 226
P. Kumaresan 110 1.1× 124 2.1× 42 1.1× 38 1.4× 10 0.5× 24 262
Yadala Sucharitha 92 0.9× 25 0.4× 27 0.7× 26 1.0× 7 0.3× 24 271
Mahmoud Othman 133 1.3× 49 0.8× 56 1.4× 36 1.3× 10 0.5× 26 291

Countries citing papers authored by S. T. Patil

Since Specialization
Citations

This map shows the geographic impact of S. T. 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 S. T. Patil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. T. Patil more than expected).

Fields of papers citing papers by S. T. Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. T. 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 S. T. Patil. The network helps show where S. T. Patil may publish in the future.

Co-authorship network of co-authors of S. T. Patil

This figure shows the co-authorship network connecting the top 25 collaborators of S. T. Patil. A scholar is included among the top collaborators of S. T. 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 S. T. Patil. S. T. 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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