Vihan Jain
- Information Systems top 0.2%
- Artificial Intelligence top 1%
- Computer Vision and Pattern Recognition top 1%
- Management Science and Operations Research top 2%
- Computer Networks and Communications top 5%
- Co-authors
- Heng-Tze ChengTushar ChandraXiaobing LiuGlen AndersonWei Koong ChaiJeremiah HarmsenGreg S. CorradoRohan Anil
- Topics
- Topic Modeling (5 papers)Multimodal Machine Learning Applications (5 papers)Speech and dialogue systems (3 papers)
- Journals
- Microelectronics ReliabilityarXiv (Cornell University)Reliability Engineering
- Partner nations
- United States
In The Last Decade
Vihan Jain
12 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Information Systems 1.5k
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 741
- Management Science and Operations Research 336
- Computer Networks and Communications 280
Countries citing papers authored by Vihan Jain
This map shows the geographic impact of Vihan 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 Vihan Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vihan Jain more than expected).
Fields of papers citing papers by Vihan Jain
This network shows the impact of papers produced by Vihan 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 Vihan Jain. The network helps show where Vihan Jain may publish in the future.
Co-authorship network of co-authors of Vihan Jain
This figure shows the co-authorship network connecting the top 25 collaborators of Vihan Jain. A scholar is included among the top collaborators of Vihan 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 Vihan Jain. Vihan Jain is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 14 | |
| 3 | 16 | |
| 4 | Effective and General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping | 12 |
| 5 | Natural Language Grounded Multitask Navigation | 3 |
| 6 | 19 | |
| 7 | 15 | |
| 8 | 49 | |
| 9 | 66 | |
| 10 | Wide & Deep Learning for Recommender Systemsbreakdown → | 1997 |
| 11 | 1 | |
| 12 | 3 |
About Vihan Jain
Vihan Jain is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research, having authored 12 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Multimodal Machine Learning Applications (5 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Information Systems (1.5k citations), Artificial Intelligence (1.2k citations) and Computer Vision and Pattern Recognition (741 citations). Vihan Jain has collaborated with scholars based in United States. Frequent co-authors include Heng-Tze Cheng, Tushar Chandra, Xiaobing Liu, Glen Anderson, Wei Koong Chai, Jeremiah Harmsen, Greg S. Corrado, Rohan Anil, Lichan Hong and Levent Koç. Their work appears in journals such as Microelectronics Reliability, arXiv (Cornell University) and Reliability Engineering.
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.