Anikait Singh

571 total citations
4 papers, 26 citations indexed

About

Anikait Singh is a scholar working on Artificial Intelligence, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Anikait Singh has authored 4 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Control and Systems Engineering and 1 paper in Cognitive Neuroscience. Recurrent topics in Anikait Singh's work include Reinforcement Learning in Robotics (2 papers), Evolutionary Algorithms and Applications (1 paper) and Retinal Imaging and Analysis (1 paper). Anikait Singh is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Evolutionary Algorithms and Applications (1 paper) and Retinal Imaging and Analysis (1 paper). Anikait Singh collaborates with scholars based in United States and United Kingdom. Anikait Singh's co-authors include Frederik Ebert, Sergey Levine, Aviral Kumar, Chelsea Finn, Shrinivas Pundlik, Gang Luo, Stefano Ermon, Yevgen Chebotar, Quan Vuong and Linqi Zhou and has published in prestigious journals such as IEEE Journal of Translational Engineering in Health and Medicine.

In The Last Decade

Anikait Singh

3 papers receiving 26 citations

Peers

Anikait Singh
L. Chen China
Shalaleh Rismani Canada
Jakub Sygnowski United Kingdom
M. Borisyak Germany
Stefano Massaroli Japan
Yunjie Pan China
Ajay Kannan United States
Khalid Iqbal China
Akash Velu United States
Fan-Yun Sun Taiwan
L. Chen China
Anikait Singh
Citations per year, relative to Anikait Singh Anikait Singh (= 1×) peers L. Chen

Countries citing papers authored by Anikait Singh

Since Specialization
Citations

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

Fields of papers citing papers by Anikait Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anikait Singh

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

All Works

4 of 4 papers shown
1.
Singh, Anikait, et al.. (2025). Personalized Preference Fine-tuning of Diffusion Models. 8020–8030.
2.
Singh, Anikait, et al.. (2024). Robotic Offline RL from Internet Videos via Value-Function Learning. 16977–16984. 2 indexed citations
3.
4.
Pundlik, Shrinivas, et al.. (2019). A Mobile Application for Keyword Search in Real-World Scenes. IEEE Journal of Translational Engineering in Health and Medicine. 7. 1–10. 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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2026