Avi Singh

1.7k total citations
17 papers, 565 citations indexed

About

Avi Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Biomaterials. According to data from OpenAlex, Avi Singh has authored 17 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Biomaterials. Recurrent topics in Avi Singh's work include Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (4 papers) and Reinforcement Learning in Robotics (3 papers). Avi Singh is often cited by papers focused on Domain Adaptation and Few-Shot Learning (5 papers), Multimodal Machine Learning Applications (4 papers) and Reinforcement Learning in Robotics (3 papers). Avi Singh collaborates with scholars based in United States, India and Finland. Avi Singh's co-authors include José M. F. Moura, Dhruv Batra, Khushi Gupta, Abhishek Das, Satwik Kottur, Deshraj Jain, Devi Parikh, Priyanka Kaushik, Stefan Lee and Sergey Levine and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACS Omega and Phase Transitions.

In The Last Decade

Avi Singh

14 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Avi Singh United States	7	453	376	20	9	9	17	565
Houdong Hu United Kingdom	3	469 1.0×	345 0.9×	9 0.5×	22 2.4×	3 0.3×	3	568
Chunhui Liu China	9	271 0.6×	150 0.4×	13 0.7×	4 0.4×	4 0.4×	16	321
Fadime Şener Germany	8	233 0.5×	119 0.3×	39 1.9×	12 1.3×	3 0.3×	14	287
Paul Hongsuck Seo United States	7	239 0.5×	121 0.3×	6 0.3×	7 0.8×	3 0.3×	15	325
Alireza Zareian United States	7	252 0.6×	231 0.6×	5 0.3×	5 0.6×	8 0.9×	10	349
Mehdi Cherti Germany	4	140 0.3×	106 0.3×	8 0.4×	13 1.4×	3 0.3×	6	237
Svebor Karaman United States	11	282 0.6×	110 0.3×	7 0.3×	5 0.6×	5 0.6×	21	357
Dmytro Okhonko United States	4	216 0.5×	187 0.5×	8 0.4×	4 0.4×	2 0.2×	4	307
Michael Wray United Kingdom	5	351 0.8×	181 0.5×	23 1.1×	4 0.4×	12 1.3×	11	416
Ayush Shrivastava United States	7	84 0.2×	97 0.3×	9 0.5×	20 2.2×	3 0.3×	12	158

Countries citing papers authored by Avi Singh

Since Specialization

Citations

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

Fields of papers citing papers by Avi Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Avi Singh

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

All Works

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17 of 17 papers shown

Singh, Avi, et al.. (2025). Exploring musculoskeletal disorders and ergonomic challenges among software professionals: A cross sectional study. Journal of Family Medicine and Primary Care. 14(7). 2847–2852.

Singh, Avi, et al.. (2025). Quantitative Modeling of Speculative Bubbles, Crash Dynamics, and Critical Transitions in the Stock Market Using the Log-Periodic Power-Law Model. International Journal of Financial Studies. 13(4). 195–195.

Abbas, Zaheer, Rishabh Agarwal, Ankesh Anand, et al.. (2024). Many-Shot In-Context Learning. 76930–76966.

Kaushik, Priyanka, et al.. (2023). HR Functions Productivity Boost by using AI. International Journal on Recent and Innovation Trends in Computing and Communication. 11(8s). 701–713. 28 indexed citations

Tu, Stephen, et al.. (2023). Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning. 11336–11342. 3 indexed citations

Singh, Avi, Sabya Sachi Das, Priya Ranjan Prasad Verma, et al.. (2023). Characterization and Exploration of Placket–Burman-Designed Porous Calcium Carbonate (Vaterite) Microparticles. ACS Omega. 8(47). 44611–44623. 3 indexed citations

Singh, Avi, Sabya Sachi Das, Janne Ruokolainen, Kavindra Kumar Kesari, & Sandeep Kumar Singh. (2023). Biopolymer-Capped Pyrazinamide-Loaded Colloidosomes: In Vitro Characterization and Bioavailability Studies. ACS Omega. 8(28). 25515–25524. 6 indexed citations

Singh, Avi, et al.. (2021). Parrot: Data-Driven Behavioral Priors for Reinforcement Learning. International Conference on Learning Representations. 3 indexed citations

Das, Abhishek, Satwik Kottur, Khushi Gupta, et al.. (2019). Visual Dialog. IEEE Transactions on Pattern Analysis and Machine Intelligence. 12 indexed citations

10.

Singh, Avi & Sandeep Kumar Singh. (2019). The impact of various drug ferrying additives on phase transitions behavior of Calcite, Vaterite and Aragonite. Phase Transitions. 92(11). 990–1008. 4 indexed citations

11.

Singh, Avi, et al.. (2019). End-to-End Robotic Reinforcement Learning without Reward Engineering. arXiv (Cornell University). 5 indexed citations

12.

Xie, Annie, Avi Singh, Sergey Levine, & Chelsea Finn. (2018). Few-Shot Goal Inference for Visuomotor Learning and Planning. 40–52. 5 indexed citations

13.

Fu, Justin, et al.. (2018). Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition. arXiv (Cornell University). 31. 8538–8547. 4 indexed citations

14.

Das, Abhishek, Satwik Kottur, Khushi Gupta, et al.. (2018). Visual Dialog. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(5). 1242–1256. 27 indexed citations

15.

Das, Abhishek, Satwik Kottur, Khushi Gupta, et al.. (2017). Visual Dialog. Computer Vision and Pattern Recognition. 213 indexed citations

16.

Das, Abhishek, Satwik Kottur, Khushi Gupta, et al.. (2017). Visual Dialog. 1080–1089. 246 indexed citations

17.

Singh, Avi, et al.. (2017). A cross sectional study on tobacco and alcohol abuse among medical college students. International Journal of Community Medicine and Public Health. 4(9). 3372–3372. 6 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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