Yash Jain
Impact in
- General Decision Sciences top 10%
- Decision-Making and Behavioral Economics
- Human-Computer Interaction top 10%
- Gaze Tracking and Assistive Technology
Papers in
-
- Multimodal Machine Learning Applications 2
- Context-Aware Activity Recognition Systems 2
- Co-authors
- Michael Rein (1 shared paper)John D. Joannopoulos (1 shared paper)Yoel Fink (1 shared paper)Gabriel Loke (1 shared paper)Tural Khudiyev (1 shared paper)Rodger Yuan (1 shared paper)Harsh Agarwal (1 shared paper)Jingxian Wang (2 shared papers)
- Journals
- Materials & Design (1 paper)Nature Communications (1 paper)Behavior Research Methods (1 paper)Computational Brain & Behavior (1 paper)ACS Applied Nano Materials (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Yash Jain
25 papers receiving 289 citations
Peers
Comparison fields: 5 of 78
- General Decision Sciences 26
- Human-Computer Interaction 39
- Automotive Engineering 64
- Signal Processing 25
- Biomedical Engineering 85
Countries citing papers authored by Yash Jain
This map shows the geographic impact of Yash 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 Yash Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yash Jain more than expected).
Fields of papers citing papers by Yash Jain
This network shows the impact of papers produced by Yash 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 Yash Jain. The network helps show where Yash Jain may publish in the future.
Co-authors
The 25 scholars most cited alongside Yash Jain, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 87 | |
| 2 | 2019 | 43 | |
| 3 | 2020 | 39 | |
| 4 | 2016 | 26 | |
| 5 | 2001 | 22 | |
| 6 | 2022 | 16 | |
| 7 | 2020 | 10 | |
| 8 | 2021 | 8 | |
| 9 | 2019 | 6 | |
| 10 | 2022 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2020 | 4 | |
| 14 | 2017 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2017 | 4 | |
| 17 | 2013 | 2 | |
| 18 | Vehicle Number Plate Detection and Recognition | 2017 | 1 |
| 19 | 2016 | 1 | |
| 20 | 2019 | 1 |
About Yash Jain
Yash Jain is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Electrical and Electronic Engineering and Mechanical Engineering, having authored 33 papers that have together received 298 indexed citations. Recurring topics across this work include Decision-Making and Behavioral Economics (4 papers), Complex Systems and Decision Making (3 papers), Hand Gesture Recognition Systems (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Tactile and Sensory Interactions (2 papers), IoT-based Smart Home Systems (2 papers), Multimodal Machine Learning Applications (2 papers) and Context-Aware Activity Recognition Systems (2 papers). The work is most often cited by research in General Decision Sciences (26 citations), Human-Computer Interaction (39 citations), Automotive Engineering (64 citations), Signal Processing (25 citations) and Biomedical Engineering (85 citations). Yash Jain has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Michael Rein, John D. Joannopoulos, Yoel Fink, Gabriel Loke, Tural Khudiyev, Rodger Yuan, Harsh Agarwal, Jingxian Wang, Haojian Jin and Carmel Majidi. Their work appears in journals such as Materials & Design, Nature Communications, Behavior Research Methods, Computational Brain & Behavior and ACS Applied Nano Materials.
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.