Mohit Jain

2.0k total citations
68 papers, 1.3k citations indexed

About

Mohit Jain is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohit Jain has authored 68 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Information Systems, 14 papers in Artificial Intelligence and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohit Jain's work include ICT in Developing Communities (14 papers), AI in Service Interactions (7 papers) and Innovative Human-Technology Interaction (7 papers). Mohit Jain is often cited by papers focused on ICT in Developing Communities (14 papers), AI in Service Interactions (7 papers) and Innovative Human-Technology Interaction (7 papers). Mohit Jain collaborates with scholars based in India, United States and Canada. Mohit Jain's co-authors include Shwetak Patel, Pratyush Kumar, Ramachandra Kota, Q. Vera Liao, Justin D. Weisz, Zahra Ashktorab, Nipun Kwatra, Minesh Mathew, Ravin Balakrishnan and C. V. Jawahar and has published in prestigious journals such as Scientific Reports, Journal of Cataract & Refractive Surgery and ACM Transactions on Computer-Human Interaction.

In The Last Decade

Mohit Jain

61 papers receiving 1.2k citations

Peers

Mohit Jain
Shan Lu China
Mark Dunlop United Kingdom
Eiman Kanjo United Kingdom
Caroline Jay United Kingdom
Adam Fourney United States
Reza Rawassizadeh United States
Mohit Jain
Citations per year, relative to Mohit Jain Mohit Jain (= 1×) peers Muhammad Nazrul Islam

Countries citing papers authored by Mohit Jain

Since Specialization
Citations

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

Fields of papers citing papers by Mohit Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohit Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Mohit Jain. A scholar is included among the top collaborators of Mohit 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 Mohit Jain. Mohit 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
2.
Kulkarni, S.S., et al.. (2025). CataractBot: An LLM-powered Expert-in-the-Loop Chatbot for Cataract Patients. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 9(2). 1–31. 2 indexed citations
3.
Jain, Mohit, et al.. (2025). Enhancing Prediction Accuracy of Machine Learning Models for Materials Informatics Problems in Alloy Design: A Case Study on Dual-Phase Steel. Journal of Materials Engineering and Performance. 35(11). 11234–11249.
4.
Holz, Frank G., et al.. (2025). Phase recognition in manual Small-Incision cataract surgery with MS-TCN + + on the novel SICS-105 dataset. Scientific Reports. 15(1). 16886–16886. 1 indexed citations
5.
Jain, Mohit, et al.. (2024). Understanding the Technology-Mediated Home Phlebotomy Ecosystem in India. Proceedings of the ACM on Human-Computer Interaction. 8(CSCW1). 1–26.
6.
Joshi, Pratixa P., et al.. (2024). DEDector: Smartphone-Based Noninvasive Screening of Dry Eye Disease. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. 8(4). 1–26. 1 indexed citations
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Kumar, Pratyush, et al.. (2023). SignIt! An Android Game for Sign Bilingual Play. 1–4.
10.
Thies, William, et al.. (2023). “Is it Even Giving the Correct Reading or Not?”: How Trust and Relationships Mediate Blood Pressure Management in India. ACM Transactions on Computer-Human Interaction. 30(6). 1–27. 2 indexed citations
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Kumar, Neha, et al.. (2023). Towards Intermediated Workflows for Hybrid Telemedicine. 1–17. 4 indexed citations
14.
Joshi, Pallavi, et al.. (2022). Keratoconus Classifier for Smartphone-based Corneal Topographer. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 1875–1878. 7 indexed citations
15.
Sharma, Sumita, Anupriya Tuli, Dilrukshi Gamage, et al.. (2021). From the Margins to the Centre: Defining New Mission and Vision for HCI Research in South Asia. University of Oulu Repository (University of Oulu). 1–6. 6 indexed citations
16.
Jain, Mohit, et al.. (2018). End-To-End Audio Replay Attack Detection Using Deep Convolutional Networks with Attention. 681–685. 63 indexed citations
17.
Mathew, Minesh, Mohit Jain, & C. V. Jawahar. (2017). Benchmarking Scene Text Recognition in Devanagari, Telugu and Malayalam. 42–46. 22 indexed citations
18.
Panda, Anita, et al.. (2010). Deep anterior lamellar keratoplasty with phacoemulsification. Journal of Cataract & Refractive Surgery. 37(1). 122–126. 16 indexed citations
19.
Paul, Kolin, et al.. (2009). Context Detection for Improving Positioning Performance and Enhancing user Experience. 2072–2076. 5 indexed citations
20.
Jain, Mohit, et al.. (2009). DISHA: disease and health awareness for children on multiple input devices. 482–482. 1 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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