Rohan Patil

816 total citations · 1 hit paper
10 papers, 519 citations indexed

About

Rohan Patil is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rohan Patil has authored 10 papers receiving a total of 519 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rohan Patil's work include Topic Modeling (2 papers), Food composition and properties (1 paper) and Artificial Intelligence in Healthcare (1 paper). Rohan Patil is often cited by papers focused on Topic Modeling (2 papers), Food composition and properties (1 paper) and Artificial Intelligence in Healthcare (1 paper). Rohan Patil collaborates with scholars based in India, Spain and United States. Rohan Patil's co-authors include Akulapalli Sudhakar, Ashley Stanley, Ashok K. Varma, Suranjana Das, Florian Wiesinger, Hariharan Ravishankar, Deepa Anand, Suchandrima Banerjee, Dattesh Shanbhag and Ajai Kumar and has published in prestigious journals such as PLoS ONE, European Journal of Medicinal Plants and 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI).

In The Last Decade

Rohan Patil

7 papers receiving 506 citations

Hit Papers

Optimized Hydrophobic Interactions and Hydrogen Bonding a... 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rohan Patil India 3 221 159 105 65 60 10 519
Emanuel Kemmler Germany 4 210 1.0× 183 1.2× 125 1.2× 57 0.9× 70 1.2× 7 569
Ofentse Jacob Pooe South Africa 15 336 1.5× 112 0.7× 104 1.0× 80 1.2× 86 1.4× 53 688
Neelutpal Gogoi India 12 172 0.8× 199 1.3× 148 1.4× 88 1.4× 72 1.2× 42 566
Kiran Bharat Lokhande India 16 289 1.3× 191 1.2× 111 1.1× 74 1.1× 47 0.8× 62 653
Muhammad Nasir Iqbal Pakistan 11 170 0.8× 113 0.7× 74 0.7× 54 0.8× 40 0.7× 47 475
Dev Bukhsh Singh India 13 215 1.0× 124 0.8× 54 0.5× 78 1.2× 59 1.0× 45 500
Peiwen Di China 8 206 0.9× 279 1.8× 167 1.6× 40 0.6× 60 1.0× 10 610
Sivakumar Prasanth Kumar India 16 297 1.3× 261 1.6× 140 1.3× 60 0.9× 63 1.1× 57 685
Camila S. de Magalhães Brazil 6 302 1.4× 237 1.5× 153 1.5× 34 0.5× 59 1.0× 9 606
Abdulrahim A. Alzain Sudan 13 218 1.0× 139 0.9× 119 1.1× 40 0.6× 40 0.7× 66 431

Countries citing papers authored by Rohan Patil

Since Specialization
Citations

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

Fields of papers citing papers by Rohan Patil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rohan Patil

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

All Works

10 of 10 papers shown
1.
Patil, Rohan, et al.. (2024). Enhancing credit card transaction fraud detection with random forest and robust scaling. AIP conference proceedings. 3188. 40013–40013.
2.
Patil, Rohan, et al.. (2023). Predicting Credit Card Defaults with Machine Learning. International Journal for Research in Applied Science and Engineering Technology. 11(10). 33–41.
3.
Takei, Naoyuki, et al.. (2023). Mitigating synthetic T2-FLAIR artifacts in 2D MAGiC using keyhole and deep learning based image reconstruction. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
4.
Anand, Deepa, et al.. (2022). Towards Generalization of Medical Imaging AI Models: Sharpness-Aware Minimizers and Beyond. 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1–5. 1 indexed citations
5.
Patil, Rohan, et al.. (2021). Real Time Mock Interview using Deep Learning. Open MIND. 10(5). 5 indexed citations
6.
7.
Patil, Rohan, et al.. (2018). Open-Domain Question Answering using Feature Encoded Dynamic Coattention Networks. 1058–1062. 2 indexed citations
8.
Patil, Rohan, et al.. (2015). Seed Germination Studies in Rauvolfia serpentina (L.) Benth. ex Kurz.. European Journal of Medicinal Plants. 10(1). 1–7. 2 indexed citations
9.
Patil, Rohan, et al.. (2014). EFFECT OF PRE-TREATMENTS ON PHYSICO-CHEMICAL COMPOSITION OF DEHYDRATED JACKFRUIT CHIPS DURING STORAGE AT AMBIENT TEMPERATURE. 54. 27–35. 2 indexed citations
10.
Patil, Rohan, et al.. (2010). Optimized Hydrophobic Interactions and Hydrogen Bonding at the Target-Ligand Interface Leads the Pathways of Drug-Designing. PLoS ONE. 5(8). e12029–e12029. 506 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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