Ankit Patel

1.0k total citations
41 papers, 384 citations indexed

About

Ankit Patel is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ankit Patel has authored 41 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 15 papers in Computer Vision and Pattern Recognition and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ankit Patel's work include Generative Adversarial Networks and Image Synthesis (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Neural Networks and Applications (5 papers). Ankit Patel is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Adversarial Robustness in Machine Learning (5 papers) and Neural Networks and Applications (5 papers). Ankit Patel collaborates with scholars based in United States, India and United Kingdom. Ankit Patel's co-authors include Weili Nie, Nina Narodytska, Bharat Singh, Tom Goldstein, Gavin Taylor, Zheng Xu, Naomi J. Halas, Yiping Zhao, Peter Nordlander and Oara Neumann and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Ankit Patel

35 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ankit Patel United States 11 155 99 38 38 35 41 384
Ashutosh Mishra India 9 101 0.7× 115 1.2× 29 0.8× 24 0.6× 13 0.4× 38 272
Ali Haider Khan Pakistan 11 152 1.0× 47 0.5× 9 0.2× 35 0.9× 43 1.2× 48 559
Sheng Li China 15 84 0.5× 474 4.8× 16 0.4× 20 0.5× 170 4.9× 63 920
Siraj M. Khan Pakistan 9 186 1.2× 365 3.7× 37 1.0× 60 1.6× 7 0.2× 19 574
Yiming Zhou China 5 141 0.9× 92 0.9× 32 0.8× 12 0.3× 5 0.1× 5 464
Yun Ding China 15 137 0.9× 167 1.7× 4 0.1× 57 1.5× 9 0.3× 53 643
V. Umadevi India 11 68 0.4× 86 0.9× 6 0.2× 33 0.9× 10 0.3× 48 385
Soumen Banerjee India 13 93 0.6× 99 1.0× 6 0.2× 241 6.3× 6 0.2× 79 581

Countries citing papers authored by Ankit Patel

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Patel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankit Patel

This figure shows the co-authorship network connecting the top 25 collaborators of Ankit Patel. A scholar is included among the top collaborators of Ankit Patel 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 Ankit Patel. Ankit Patel 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.
Neumann, Oara, et al.. (2024). Surface-Enhanced Raman Spectroscopy: from the Few-Analyte Limit to Hot-Spot Saturation. The Journal of Physical Chemistry C. 128(21). 8649–8659. 5 indexed citations
2.
Rusin, Craig G., et al.. (2024). A multimodal deep learning tool for detection of junctional ectopic tachycardia in children with congenital heart disease. Heart Rhythm O2. 5(7). 452–459. 3 indexed citations
3.
Kundu, Suprateek, et al.. (2024). Feature Extraction for Generative Medical Imaging Evaluation: New Evidence Against an Evolving Trend. Lecture notes in computer science. 15012. 87–97. 2 indexed citations
4.
Sabharwal, Ashutosh, et al.. (2024). RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews. 73–98. 4 indexed citations
5.
Dey, Sourav, et al.. (2024). Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples. Frontiers in Computational Neuroscience. 18. 1387077–1387077.
6.
Neumann, Oara, et al.. (2023). Identifying Surface-Enhanced Raman Spectra with a Raman Library Using Machine Learning. ACS Nano. 17(21). 21251–21261. 34 indexed citations
7.
Netherton, Tucker, et al.. (2023). Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation. Lecture notes in computer science. 14291. 147–156. 2 indexed citations
8.
Li, Zhe, Evgenia Rusak, Wieland Brendel, et al.. (2023). Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Computational Biology. 19(3). e1010932–e1010932. 12 indexed citations
9.
Patel, Ankit, et al.. (2022). Reinforcement learning of simplex pivot rules: a proof of concept. Optimization Letters. 16(8). 2513–2525. 3 indexed citations
10.
Moukaddam, Nidal, et al.. (2022). ECoNet: Estimating Everyday Conversational Network From Free-Living Audio for Mental Health Applications. IEEE Pervasive Computing. 21(2). 32–40. 3 indexed citations
11.
Patel, Ankit, et al.. (2022). A novel automated junctional ectopic tachycardia detection tool for children with congenital heart disease. Heart Rhythm O2. 3(3). 302–310. 2 indexed citations
12.
Sahs, Justin, et al.. (2022). Shallow Univariate ReLU Networks as Splines: Initialization, Loss Surface, Hessian, and Gradient Flow Dynamics. Frontiers in Artificial Intelligence. 5. 889981–889981. 5 indexed citations
13.
Subramanian, Devika, et al.. (2021). Domain-driven models yield better predictions at lower cost than reservoir computers in Lorenz systems. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 379(2194). 20200246–20200246. 18 indexed citations
14.
15.
Nie, Weili, Zhiding Yu, Lei Mao, et al.. (2020). Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning. CaltechAUTHORS (California Institute of Technology). 33. 16468–16480.
16.
Chen, Huaijin, et al.. (2019). Fast Retinomorphic Event-Driven Representations for Video Gameplay and Action Recognition. IEEE Transactions on Computational Imaging. 6. 276–290. 5 indexed citations
17.
Nie, Weili & Ankit Patel. (2018). Towards a Better Understanding and Regularization of GAN Training Dynamics.. Uncertainty in Artificial Intelligence. 281–291. 1 indexed citations
18.
Nie, Weili & Ankit Patel. (2018). JR-GAN: Jacobian Regularization for Generative Adversarial Networks.. arXiv (Cornell University). 1 indexed citations
19.
Nie, Weili, Nina Narodytska, & Ankit Patel. (2018). RelGAN: Relational Generative Adversarial Networks for Text Generation.. International Conference on Learning Representations. 78 indexed citations
20.
Patel, Ankit, et al.. (2014). Facial Age Group Classification. IOSR Journal of Electronics and Communication Engineering. 9(1). 33–39. 5 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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