Lalit Jain

423 total citations
36 papers, 154 citations indexed

About

Lalit Jain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Lalit Jain has authored 36 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Management Science and Operations Research. Recurrent topics in Lalit Jain's work include Advanced Bandit Algorithms Research (7 papers), Machine Learning and Algorithms (3 papers) and Particle Accelerators and Free-Electron Lasers (3 papers). Lalit Jain is often cited by papers focused on Advanced Bandit Algorithms Research (7 papers), Machine Learning and Algorithms (3 papers) and Particle Accelerators and Free-Electron Lasers (3 papers). Lalit Jain collaborates with scholars based in United States, India and Slovenia. Lalit Jain's co-authors include Kevin Jamieson, Robert D. Nowak, Arup Kumar Das, Subrata Das, Rajesh Rai, Mark R. Abbott, Zhaoqi Li, Hema Yoganarasimhan, Tanya Jain and J. A. Holmes and has published in prestigious journals such as PLoS Computational Biology, Marketing Science and BioResources.

In The Last Decade

Lalit Jain

29 papers receiving 140 citations

Peers

Lalit Jain
Ganesh Chandrasekaran India
K. Maheswari India
Paolo Ciuccarelli Italy
Seong-Yoon Shin South Korea
Wenhao Zhang China
Marie-Luce Viaud France
Samira Zad United States
Alessandro B. Melchiorre Austria
Furqan Khan Pakistan
Andrés Ferraro Spain
Ganesh Chandrasekaran India
Lalit Jain
Citations per year, relative to Lalit Jain Lalit Jain (= 1×) peers Ganesh Chandrasekaran

Countries citing papers authored by Lalit Jain

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lalit Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Lalit Jain. A scholar is included among the top collaborators of Lalit Jain 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 Lalit Jain. Lalit Jain 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.
Nassif, Houssam, et al.. (2024). Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice. 3586–3597. 1 indexed citations
2.
Jain, Lalit, et al.. (2024). Effective Adaptive Exploration of Prices and Promotions in Choice-Based Demand Models. Marketing Science. 43(5). 1002–1030. 5 indexed citations
3.
Jain, Lalit. (2023). Computer Network: An Implementation of MAC Spoofing. International Journal Of Engineering And Computer Science. 12(5). 25717–25721. 1 indexed citations
4.
Jain, Lalit, et al.. (2022). Sample-efficient identification of high-dimensional antibiotic synergy with a normalized diagonal sampling design. PLoS Computational Biology. 18(7). e1010311–e1010311. 1 indexed citations
5.
Jun, Kwang-Sung, et al.. (2021). Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits. International Conference on Machine Learning. 5148–5157. 2 indexed citations
6.
Jain, Lalit, et al.. (2019). Digital Audio Watermarking: An Overview. 5(1). 1–9.
7.
Jain, Lalit, et al.. (2019). AUTOMATED FAILURE PREDICTION AND SELF-HEALING OF EDGE DEVICES IN INTERNET OF THINGS INFRASTRUCTURE.
8.
Jamieson, Kevin & Lalit Jain. (2018). A Bandit Approach to Sequential Experimental Design with False Discovery Control. Neural Information Processing Systems. 31. 3660–3670. 4 indexed citations
9.
Jain, Lalit & Kevin Jamieson. (2018). Firing Bandits: Optimizing Crowdfunding. International Conference on Machine Learning. 2206–2214. 1 indexed citations
10.
Jain, Lalit, et al.. (2018). Concentrated Solar Power Tracker Using Arduino UNO and Stepper Motor. 1–6. 4 indexed citations
11.
Das, Subrata, Lalit Jain, & Arup Kumar Das. (2018). Deep Learning for Military Image Captioning. 2165–2171. 15 indexed citations
12.
Jain, Lalit, et al.. (2017). Learning Low-Dimensional Metrics. Neural Information Processing Systems. 30. 4139–4147. 1 indexed citations
13.
Jain, Lalit, Kevin Jamieson, & Robert D. Nowak. (2016). Finite Sample Prediction and Recovery Bounds for Ordinal Embedding. Neural Information Processing Systems. 29. 2703–2711. 12 indexed citations
14.
15.
Jain, Lalit, et al.. (2016). A novel approach to exemplar based image inpainting. 22. 810–814. 4 indexed citations
16.
Jamieson, Kevin, et al.. (2015). NEXT: a system for real-world development, evaluation, and application of active learning. Neural Information Processing Systems. 28. 2656–2664. 23 indexed citations
17.
Jain, Lalit, et al.. (2015). Image Inpainting A Review of the Underlying Different Algorithms and Comparative Study of the Inpainting Techniques. International Journal of Computer Applications. 118(10). 32–38. 5 indexed citations
18.
Jain, Lalit, et al.. (2013). NEW TECHNIQUE TO MOUNT SPECIMEN IN THE FORMALIN FILLED JAR FOR ANATOMY MUSEUM WITH ALMOST INVISIBLE SUPPORT. International Journal of Current Research and Review. 5(12). 45–50. 1 indexed citations
19.
Holmes, J. A., Sarah Cousineau, V. Danilov, & Lalit Jain. (2011). Comparison between measurements, simulations, and theoretical predictions of the extraction kicker transverse dipole instability in the Spallation Neutron Source. Physical Review Special Topics - Accelerators and Beams. 14(7). 2 indexed citations
20.
Holmes, J. A., et al.. (2008). COMPUTATIONAL BEAM DYNAMICS STUDIES OF COLLECTIVE INSTABILITIES OBSERVED IN SNS.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ganesh Chandrasekaran Breakdown of academic impact, for papers by K. Maheswari Breakdown of academic impact, for papers by Paolo Ciuccarelli Breakdown of academic impact, for papers by Seong-Yoon Shin Breakdown of academic impact, for papers by Wenhao Zhang Breakdown of academic impact, for papers by Marie-Luce Viaud Breakdown of academic impact, for papers by Samira Zad Breakdown of academic impact, for papers by Alessandro B. Melchiorre Breakdown of academic impact, for papers by Furqan Khan Breakdown of academic impact, for papers by Andrés Ferraro
Rankless by CCL
2026