Niloy J. Mitra
About
In The Last Decade
Niloy J. Mitra
215 papers receiving 13.8k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Computer Vision and Pattern Recognition 9.6k
- Computational Mechanics 4.6k
- Computer Graphics and Computer-Aided Design 3.2k
- Geology 2.9k
- Aerospace Engineering 2.1k
Countries citing papers authored by Niloy J. Mitra
This map shows the geographic impact of Niloy J. Mitra'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 Niloy J. Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niloy J. Mitra more than expected).
Fields of papers citing papers by Niloy J. Mitra
This network shows the impact of papers produced by Niloy J. Mitra. 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 Niloy J. Mitra. The network helps show where Niloy J. Mitra may publish in the future.
Co-authorship network of co-authors of Niloy J. Mitra
This figure shows the co-authorship network connecting the top 25 collaborators of Niloy J. Mitra. A scholar is included among the top collaborators of Niloy J. Mitra 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 Niloy J. Mitra. Niloy J. Mitra 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 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 14 | |
| 8 | 4 | |
| 9 | RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces | 3 |
| 10 | 13 | |
| 11 | UNPAIRED POINT CLOUD COMPLETION ON REAL SCANS USING ADVERSARIAL TRAINING | 6 |
| 12 | Neural Graphics Pipeline for Controllable Image Generation | 1 |
| 13 | BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images | 5 |
| 14 | Going Deeper with Point Networks | 3 |
| 15 | Do GAN Loss Functions Really Matter | 1 |
| 16 | Designing for Curiosity in Citizen Science | 1 |
| 17 | 22 | |
| 18 | Global Contrast Based Salient Region Detection breakdown → | 1818 |
| 19 | RepFinder : Finding Approximately Repeated Scene Elements for Image Editing | 13 |
| 20 | 15 |
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.