Nagamma Patil

39 papers and 359 indexed citations i.

About

Nagamma Patil is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nagamma Patil has authored 39 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nagamma Patil’s work include Machine Learning in Bioinformatics (14 papers), Smart Agriculture and AI (7 papers) and Gene expression and cancer classification (7 papers). Nagamma Patil is often cited by papers focused on Machine Learning in Bioinformatics (14 papers), Smart Agriculture and AI (7 papers) and Gene expression and cancer classification (7 papers). Nagamma Patil collaborates with scholars based in India, United States and Germany. Nagamma Patil's co-authors include C. D. Jaidhar, Sharada Rai, Prakash Shelokar, Vaidyanathan Jayaraman, Shubham Agrawal, B. D. Kulkarni, Kiranpreet Kaur, P Bhat, Medhini Narasimhan and Durga Toshniwal and has published in prestigious journals such as Nucleic Acids Research, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Nagamma Patil i

Fields of papers citing papers by Nagamma Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Nagamma Patil

Since Specialization
Citations

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