Aishwarya Patil

5.4k total citations · 1 hit paper
9 papers, 4.0k citations indexed

About

Aishwarya Patil is a scholar working on Organic Chemistry, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Aishwarya Patil has authored 9 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Organic Chemistry, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Aishwarya Patil's work include Currency Recognition and Detection (2 papers), IoT and Edge/Fog Computing (1 paper) and Bioactive Compounds and Antitumor Agents (1 paper). Aishwarya Patil is often cited by papers focused on Currency Recognition and Detection (2 papers), IoT and Edge/Fog Computing (1 paper) and Bioactive Compounds and Antitumor Agents (1 paper). Aishwarya Patil collaborates with scholars based in India. Aishwarya Patil's co-authors include Vijaya Lobo, Anita Phatak, Neelam Chandra, Bapu R. Thorat, Ravi Rawat, Suraj N. Mali and Vijay Prakash Sharma and has published in prestigious journals such as Journal of Biomolecular Structure and Dynamics, Pharmacognosy Reviews/Bioinformatics Trends/Pharmacognosy review and Journal of Tropical Pediatrics.

In The Last Decade

Aishwarya Patil

6 papers receiving 3.8k citations

Hit Papers

Free radicals, antioxidan... 2010 2026 2015 2020 2010 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aishwarya Patil India 4 993 926 920 713 470 9 4.0k
Neelam Chandra India 5 993 1.0× 961 1.0× 938 1.0× 713 1.0× 475 1.0× 9 4.0k
Vijaya Lobo India 4 1.0k 1.0× 946 1.0× 920 1.0× 724 1.0× 471 1.0× 6 4.0k
Anita Phatak India 6 1.0k 1.0× 983 1.1× 942 1.0× 761 1.1× 479 1.0× 8 4.1k
Ok‐Hwan Lee South Korea 34 1.1k 1.1× 955 1.0× 1.3k 1.4× 1.0k 1.4× 582 1.2× 251 4.3k
Aurelia Magdalena Pisoschi Romania 19 836 0.8× 775 0.8× 1.1k 1.2× 765 1.1× 488 1.0× 45 4.7k
Mario Dell’Agli Italy 33 769 0.8× 758 0.8× 945 1.0× 531 0.7× 588 1.3× 116 3.8k
Archana Panche India 9 1.0k 1.0× 1.0k 1.1× 1.3k 1.5× 580 0.8× 268 0.6× 16 3.9k
Lien Ai Pham-Huy China 8 755 0.8× 651 0.7× 965 1.0× 461 0.6× 418 0.9× 10 3.9k
Julián Castillo Spain 26 1.3k 1.3× 1.1k 1.2× 986 1.1× 985 1.4× 339 0.7× 43 3.5k
Dong-ping Xu China 26 1.1k 1.1× 749 0.8× 1.3k 1.4× 693 1.0× 313 0.7× 51 3.9k

Countries citing papers authored by Aishwarya Patil

Since Specialization
Citations

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

Fields of papers citing papers by Aishwarya Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aishwarya Patil

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

All Works

9 of 9 papers shown
1.
Patil, Aishwarya, et al.. (2024). Anti-inflammatory effect of Polyherbal Formulation. Research Journal of Pharmacy and Technology. 2568–2572.
2.
Patil, Aishwarya, et al.. (2023). Soil Fertility Prediction. International Journal for Research in Applied Science and Engineering Technology. 11(8). 1241–1247. 1 indexed citations
3.
Patil, Aishwarya, et al.. (2023). Molecular docking, QSAR, pharmacophore modeling, and dynamics studies of some chromone derivatives for the discovery of anti-breast cancer agents against hormone-dependent breast cancer. Journal of Biomolecular Structure and Dynamics. 41(24). 14757–14770. 9 indexed citations
4.
Patil, Aishwarya, et al.. (2023). Tuberculosis Detection Using Chest X-Ray with Deep Learning and Visualization. International Journal for Research in Applied Science and Engineering Technology. 11(5). 3888–3894. 1 indexed citations
5.
Patil, Aishwarya, et al.. (2022). Disseminated Congenital Tuberculosis in Neonates: A Case Series. Journal of Tropical Pediatrics. 68(3).
6.
Patil, Aishwarya, et al.. (2022). Classification of Furcation Involvement - A Literature Review. International Journal of Research and Review. 9(3). 6–17.
7.
Patil, Aishwarya, et al.. (2021). Securing Cloud Based Data Storage using Blockchain. Open MIND. 10(6). 7 indexed citations
8.
Patil, Aishwarya, et al.. (2017). IoT Based Smart Waste Management System for Smart City. International Journal of Advanced Research in Computer Science and Software Engineering. 7(4). 407–410. 12 indexed citations
9.
Lobo, Vijaya, Aishwarya Patil, Anita Phatak, & Neelam Chandra. (2010). Free radicals, antioxidants and functional foods: Impact on human health. Pharmacognosy Reviews/Bioinformatics Trends/Pharmacognosy review. 4(8). 118–118. 3949 indexed citations breakdown →

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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