Nagamma Patil

1.0k total citations · 1 hit paper
66 papers, 647 citations indexed

About

Nagamma Patil is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Nagamma Patil has authored 66 papers receiving a total of 647 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 26 papers in Molecular Biology and 17 papers in Computer Vision and Pattern Recognition. Recurrent topics in Nagamma Patil's work include Machine Learning in Bioinformatics (20 papers), Smart Agriculture and AI (10 papers) and AI in cancer detection (10 papers). Nagamma Patil is often cited by papers focused on Machine Learning in Bioinformatics (20 papers), Smart Agriculture and AI (10 papers) and AI in cancer detection (10 papers). Nagamma Patil collaborates with scholars based in India, France and Germany. Nagamma Patil's co-authors include C. K. Sunil, C. D. Jaidhar, Utkarsh Gupta, Kunwar Singh Vaisla, Sharada Rai, Prakash Shelokar, Shubham Agrawal, Vaidyanathan Jayaraman, B. D. Kulkarni and P Bhat and has published in prestigious journals such as Nucleic Acids Research, Expert Systems with Applications and IEEE Access.

In The Last Decade

Nagamma Patil

59 papers receiving 600 citations

Hit Papers

Tomato plant disease classification using Multilevel Feat... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism
    2023 76 citations C. K. Sunil, Nagamma Patil et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nagamma Patil India 13 267 149 118 113 82 66 647
Kanad K. Biswas India 10 259 1.0× 125 0.8× 31 0.3× 113 1.0× 39 0.5× 25 624
Eugenio Vocaturo Italy 19 118 0.4× 341 2.3× 22 0.2× 50 0.4× 29 0.4× 71 735
Ricardo Cerri Brazil 16 71 0.3× 494 3.3× 225 1.9× 15 0.1× 120 1.5× 69 844
K. V. Prema India 11 67 0.3× 84 0.6× 117 1.0× 19 0.2× 54 0.7× 55 521
Vishan Kumar Gupta India 13 50 0.2× 110 0.7× 27 0.2× 34 0.3× 68 0.8× 67 466
Dalia Ezzat Egypt 6 108 0.4× 195 1.3× 49 0.4× 42 0.4× 11 0.1× 8 462
Savita Kolhe India 7 178 0.7× 96 0.6× 17 0.1× 57 0.5× 38 0.5× 21 370
Shuangyuan Yang China 13 110 0.4× 116 0.8× 14 0.1× 45 0.4× 33 0.4× 41 459
Ali Akoglu United States 12 88 0.3× 116 0.8× 61 0.5× 30 0.3× 97 1.2× 95 609
K. S. Reddy India 14 84 0.3× 246 1.7× 48 0.4× 12 0.1× 83 1.0× 63 588

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).

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.

Co-authorship network of co-authors of Nagamma Patil

This figure shows the co-authorship network connecting the top 25 collaborators of Nagamma Patil. A scholar is included among the top collaborators of Nagamma 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 Nagamma Patil. Nagamma Patil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Patil, Nagamma, et al.. (2025). Class-Balanced Protein Interaction Site Prediction Using Global and Local Features with XGBoost and Deep Learning. SN Computer Science. 6(2). 2 indexed citations
2.
3.
Sunil, C. K., et al.. (2023). Tomato plant disease classification using Multilevel Feature Fusion with adaptive channel spatial and pixel attention mechanism. Expert Systems with Applications. 228. 120381–120381. 76 indexed citations breakdown →
4.
Bhat, P & Nagamma Patil. (2023). An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions. Network Modeling Analysis in Health Informatics and Bioinformatics. 12(1). 3 indexed citations
5.
Verma, Vishal, et al.. (2023). An Efficient Rainfall Prediction Model Using Deep Learning Method. 566–572. 1 indexed citations
6.
Patil, Nagamma, et al.. (2023). OntoPred: An Efficient Attention-Based Approach for Protein Function Prediction Using Skip-Gram Features. SN Computer Science. 4(5). 1 indexed citations
7.
Patil, Nagamma, et al.. (2023). Segmentation and classification of white blood cancer cells from bone marrow microscopic images using duplet-convolutional neural network design. Multimedia Tools and Applications. 82(23). 35277–35299. 10 indexed citations
8.
Sunil, C. K., C. D. Jaidhar, & Nagamma Patil. (2023). Systematic study on deep learning-based plant disease detection or classification. Artificial Intelligence Review. 56(12). 14955–15052. 56 indexed citations
9.
Patil, Nagamma, et al.. (2023). Image Analysis of Nuclei Histopathology Using Deep Learning: A Review of Segmentation, Detection, and Classification. SN Computer Science. 4(5). 4 indexed citations
10.
11.
Agrawal, Shubham & Nagamma Patil. (2022). Machine Learning based COVID-19 Mortality Prediction using Common Patient Data. 2022 IEEE 7th International conference for Convergence in Technology (I2CT). 1. 1–6. 2 indexed citations
12.
Sunil, C. K., C. D. Jaidhar, & Nagamma Patil. (2021). Cardamom Plant Disease Detection Approach Using EfficientNetV2. IEEE Access. 10. 789–804. 126 indexed citations
13.
Patil, Nagamma, et al.. (2021). An effective feature extraction with deep neural network architecture for protein-secondary-structure prediction. Network Modeling Analysis in Health Informatics and Bioinformatics. 10(1). 2 indexed citations
14.
Patil, Nagamma, et al.. (2020). An efficient colossal closed itemset mining algorithm for a dataset with high dimensionality. Journal of King Saud University - Computer and Information Sciences. 34(6). 2798–2808. 2 indexed citations
15.
Kaur, Kiranpreet & Nagamma Patil. (2020). A fast and novel approach based on grouping and weighted mRMR for feature selection and classification of protein sequence data. International Journal of Data Mining and Bioinformatics. 23(1). 47–47. 1 indexed citations
16.
Kaur, Kiranpreet & Nagamma Patil. (2020). A fast and novel approach based on grouping and weighted mRMR for feature selection and classification of protein sequence data. International Journal of Data Mining and Bioinformatics. 23(1). 47–47. 3 indexed citations
17.
Patil, Nagamma, et al.. (2020). An Effective Multi-Label Protein Sub-Chloroplast Localization Prediction by Skipped-Grams of Evolutionary Profiles Using Deep Neural Network. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(3). 1449–1458. 7 indexed citations
18.
Sunil, C. K., C. D. Jaidhar, & Nagamma Patil. (2020). Empirical Study on Multi Convolutional Layer-based Convolutional Neural Network Classifier for Plant Leaf Disease Detection. 460–465. 8 indexed citations
19.
20.
Patil, Nagamma. (2000). A developmentally regulated deletion element with long terminal repeats has cis-acting sequences in the flanking DNA. Nucleic Acids Research. 28(6). 1465–1472. 20 indexed citations

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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