Amit Raj
Impact in
-
- Computer Graphics and Visualization Techniques
- Ophthalmology top 5%
- Intraocular Surgery and Lenses
Papers in
-
- Ocular Infections and Treatments 5
- Surgery 6
- Co-authors
- Piyush Kohli (3 shared papers)T. V. Prabhakar (1 shared paper)Bhaskar Reddy (2 shared papers)Varun Jampani (4 shared papers)Uma Handa (1 shared paper)James Hays (3 shared papers)Michael Rubinstein (2 shared papers)Shiran Zada (1 shared paper)
- Journals
- Seminars in Ophthalmology (2 papers)Science China Information Sciences (1 paper)Journal of Parasitology (1 paper)Plant Pathology (1 paper)Journal of Fungi (1 paper)
- Partner nations
- IndiaUnited StatesIreland
In The Last Decade
Amit Raj
41 papers receiving 348 citations
Peers
Comparison fields: 5 of 83
- Computer Graphics and Computer-Aided Design 68
- Ophthalmology 65
- Computer Vision and Pattern Recognition 136
- Software 23
- Computational Mechanics 69
Countries citing papers authored by Amit Raj
This map shows the geographic impact of Amit Raj'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 Amit Raj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Raj more than expected).
Fields of papers citing papers by Amit Raj
This network shows the impact of papers produced by Amit Raj. 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 Amit Raj. The network helps show where Amit Raj may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Raj, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 92 | |
| 2 | 2018 | 40 | |
| 3 | 2007 | 35 | |
| 4 | 2008 | 35 | |
| 5 | 2021 | 35 | |
| 6 | SwapNet: Garment Transfer in Single View Images | 2018 | 18 |
| 7 | 2024 | 16 | |
| 8 | 2024 | 11 | |
| 9 | 2021 | 9 | |
| 10 | 2017 | 9 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2022 | 5 | |
| 14 | 2011 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2013 | 4 | |
| 18 | Learning to Generate Textures on 3D Meshes | 2019 | 3 |
| 19 | 2022 | 3 | |
| 20 | 2016 | 3 |
About Amit Raj
Amit Raj is a scholar working on Ophthalmology, Surgery, Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 50 papers that have together received 377 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (5 papers), Ocular Infections and Treatments (5 papers), 3D Shape Modeling and Analysis (4 papers), Advanced Software Engineering Methodologies (3 papers), Sinusitis and nasal conditions (3 papers), Service-Oriented Architecture and Web Services (2 papers), 3D Surveying and Cultural Heritage (2 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (68 citations), Ophthalmology (65 citations), Computer Vision and Pattern Recognition (136 citations), Software (23 citations) and Computational Mechanics (69 citations). Amit Raj has collaborated with scholars based in India, United States and Ireland. Frequent co-authors include Piyush Kohli, T. V. Prabhakar, Bhaskar Reddy, Varun Jampani, Uma Handa, James Hays, Michael Rubinstein, Shiran Zada, Michael Niemeyer and Kfir Aberman. Their work appears in journals such as Seminars in Ophthalmology, Science China Information Sciences, Journal of Parasitology, Plant Pathology and Journal of Fungi.
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.