Arsha Nagrani
About
In The Last Decade
Arsha Nagrani
25 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 1.8k
- Signal Processing 1.7k
- Computer Vision and Pattern Recognition 1.3k
- Experimental and Cognitive Psychology 214
- Social Psychology 101
Countries citing papers authored by Arsha Nagrani
This map shows the geographic impact of Arsha Nagrani'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 Arsha Nagrani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arsha Nagrani more than expected).
Fields of papers citing papers by Arsha Nagrani
This network shows the impact of papers produced by Arsha Nagrani. 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 Arsha Nagrani. The network helps show where Arsha Nagrani may publish in the future.
Co-authorship network of co-authors of Arsha Nagrani
This figure shows the co-authorship network connecting the top 25 collaborators of Arsha Nagrani. A scholar is included among the top collaborators of Arsha Nagrani 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 Arsha Nagrani. Arsha Nagrani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 8 | |
| 7 | 14 | |
| 8 | 0 | |
| 9 | Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning breakdown → | 102 |
| 10 | Frozen in time: A joint video and image encoder for end-to-end retrieval breakdown → | 425 |
| 11 | 6 | |
| 12 | 106 | |
| 13 | 45 | |
| 14 | Attention Bottlenecks for Multimodal Fusion | 0 |
| 15 | 111 | |
| 16 | 12 | |
| 17 | 70 | |
| 18 | Use What You Have: Video retrieval using representations from collaborative experts. | 13 |
| 19 | VoxCeleb2: Deep Speaker Recognition breakdown → | 1248 |
| 20 | 191 |
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.