Ayush Chopra

502 total citations
21 papers, 276 citations indexed

About

Ayush Chopra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Ayush Chopra has authored 21 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Infectious Diseases. Recurrent topics in Ayush Chopra's work include Generative Adversarial Networks and Image Synthesis (4 papers), COVID-19 epidemiological studies (3 papers) and Semiconductor materials and devices (3 papers). Ayush Chopra is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), COVID-19 epidemiological studies (3 papers) and Semiconductor materials and devices (3 papers). Ayush Chopra collaborates with scholars based in United States, India and United Kingdom. Ayush Chopra's co-authors include Mrutyunjaya Panda, Balaji Krishnamurthy, Kumar Ayush, M. Thumm, K. Koppenburg, B. Piosczyk, O. Braz, G. Dammertz, M. Kuntze and Balaji Krishnamurthy and has published in prestigious journals such as BMJ, Applied Surface Science and Vaccine.

In The Last Decade

Ayush Chopra

19 papers receiving 266 citations

Peers

Ayush Chopra

CVPR

OE

AMPO

ME

ID

Apoorav Maulik Sharma India

Quoc Cuong Nguyen Vietnam

Akash Anand United States

Muhammad Ahsan Pakistan

Jamshaid Ul Rahman Pakistan

Hongpeng Sun China

Dezheng Hua China

Azhar Iqbal Pakistan

Bin Cheng China

Apoorav Maulik Sharma India

Ayush Chopra

213 ×2.2

CVPR

9 ×0.2

OE

10 ×0.2

AMPO

7 ×0.2

ME

31 ×0.8

ID

Citations per year, relative to Ayush Chopra Ayush Chopra (= 1×) peers Apoorav Maulik Sharma

Countries citing papers authored by Ayush Chopra

Since Specialization

Citations

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

Fields of papers citing papers by Ayush Chopra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayush Chopra

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

All Works

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20 of 20 papers shown

1.

Singh, Abhishek, et al.. (2025). Upgrade or Switch: Do We Need a Next-Gen Trusted Architecture for the Internet of AI Agents?. 1–10.

2.

Chopra, Ayush, et al.. (2025). On the Limits of Agency in Agent-based Models. 500–509.

3.

Chopra, Ayush, et al.. (2023). Gradient-Assisted Calibration for Financial Agent-Based Models. 288–296. 4 indexed citations

4.

Chopra, Ayush, Alexander Rodríguez, B. Aditya Prakash, Ramesh Raskar, & Thomas C. Kingsley. (2023). Using neural networks to calibrate agent based models enables improved regional evidence for vaccine strategy and policy. Vaccine. 41(48). 7067–7071. 1 indexed citations

5.

Chopra, Ayush, et al.. (2022). SAC: Semantic Attention Composition for Text-Conditioned Image Retrieval. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 597–606. 29 indexed citations

6.

Chopra, Ayush, et al.. (2021). ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 5413–5422. 34 indexed citations

7.

Chopra, Ayush, Ramesh Raskar, Balaji Krishnamurthy, et al.. (2021). DeepABM: Scalable and Efficient Agent-Based Simulations Via Geometric Learning Frameworks - a Case Study For Covid-19 Spread and Interventions. 1–12. 2 indexed citations

8.

Romero‐Brufau, Santiago, Ayush Chopra, Esma S. Gel, et al.. (2021). Public health impact of delaying second dose of BNT162b2 or mRNA-1273 covid-19 vaccine: simulation agent based modeling study. BMJ. 373. n1087–n1087. 47 indexed citations

9.

Patwa, Parth, et al.. (2021). COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms. 154–169. 1 indexed citations

10.

Chopra, Ayush, et al.. (2020). Towards a Unified Framework for Visual Compatibility Prediction. 8 indexed citations

11.

Kabra, Anubha, et al.. (2020). MixBoost: Synthetic Oversampling using Boosted Mixup for Handling Extreme Imbalance. 1082–1087. 4 indexed citations

12.

Ayush, Kumar, et al.. (2019). Powering Virtual Try-On via Auxiliary Human Segmentation Learning. 3193–3196. 11 indexed citations

13.

Chopra, Ayush, et al.. (2019). Powering Robust Fashion Retrieval With Information Rich Feature Embeddings. 2. 326–334. 13 indexed citations

14.

Ayush, Kumar, et al.. (2019). Robust Cloth Warping via Multi-Scale Patch Adversarial Loss for Virtual Try-On Framework. 1279–1281. 7 indexed citations

15.

Chopra, Ayush, et al.. (2018). Pose Aware Fine-Grained Visual Classification Using Pose Experts. 2381–2385. 2 indexed citations

16.

Dammertz, G., O. Braz, Ayush Chopra, et al.. (1999). Recent results of the 1-MW, 140-GHz, TE/sub 22,6/-mode gyrotron. IEEE Transactions on Plasma Science. 27(2). 330–339. 45 indexed citations

17.

Panda, Mrutyunjaya & Ayush Chopra. (1998). An Integrated Approach to Estimate Well Interactions. 53 indexed citations

18.

Chopra, Ayush. (1994). Impregnated Dispenser M-type Cathodes for MW Tubes—An Overview. IETE Journal of Research. 40(1). 17–24. 2 indexed citations

19.

Khairnar, Rajendra S. & Ayush Chopra. (1992). Work function measurements of dispenser cathodes by retarding potential method. Review of Scientific Instruments. 63(11). 5483–5484. 1 indexed citations

20.

Chopra, Ayush, et al.. (1989). Emission poisoning studies on impregnated tungsten dispenser cathode under CO2 and O2 environment. Applied Surface Science. 40(1-2). 97–101. 4 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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