Anupam Garg
- Ophthalmology top 2%
- Molecular Biology
- Cognitive Neuroscience top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Munish KumarPeichao LiMohammad RashidEdward M. CallawaySurbhi GuptaMark E. PennesiLaura ErkerMichael J. Gale
- Topics
- Retinal Imaging and Analysis (6 papers)Retinal Diseases and Treatments (5 papers)Ophthalmology and Visual Impairment Studies (5 papers)
- Journals
- ScienceNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Anupam Garg
30 papers receiving 572 citations
Peers
Comparison fields: 5 of 106
- Ophthalmology 193
- Molecular Biology 155
- Cognitive Neuroscience 133
- Radiology, Nuclear Medicine and Imaging 121
- Computer Vision and Pattern Recognition 113
Countries citing papers authored by Anupam Garg
This map shows the geographic impact of Anupam Garg'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 Anupam Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupam Garg more than expected).
Fields of papers citing papers by Anupam Garg
This network shows the impact of papers produced by Anupam Garg. 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 Anupam Garg. The network helps show where Anupam Garg may publish in the future.
Co-authorship network of co-authors of Anupam Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Anupam Garg. A scholar is included among the top collaborators of Anupam Garg 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 Anupam Garg. Anupam Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 13 | |
| 8 | 33 | |
| 9 | 48 | |
| 10 | 10 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 10 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 34 | |
| 17 | Flood-Illuminated Adaptive Optics Camera Performance in Subjects with Inherited Retinal Degeneration | 1 |
| 18 | 33 | |
| 19 | 6 | |
| 20 | Measuring the Performance of an Adaptive Optics Flood Illuminated Camera for Imaging the Cone Mosaic in the Clinical Setting | 1 |
About Anupam Garg
Anupam Garg is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 30 papers that have together received 604 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Retinal Diseases and Treatments (5 papers) and Ophthalmology and Visual Impairment Studies (5 papers). The work is most often cited by research in Ophthalmology (193 citations), Cognitive Neuroscience (133 citations) and Computer Vision and Pattern Recognition (113 citations). Anupam Garg has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Munish Kumar, Peichao Li, Mohammad Rashid, Edward M. Callaway, Surbhi Gupta, Mark E. Pennesi, Laura Erker, Michael J. Gale, Daniel L. Chao and Daniel C. Tu. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.
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.