Saurabh Gupta
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 1%
- Aerospace Engineering top 2%
- Psychiatry and Mental health top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jitendra MalikPablo ArbeláezJudy HoffmanXiaodong HeMargaret MitchellHao FangGeoffrey ZweigLi Deng
- Topics
- Multimodal Machine Learning Applications (10 papers)Advanced Image and Video Retrieval Techniques (10 papers)Advanced Neural Network Applications (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaAnnals of OncologyWaste Management
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Saurabh Gupta
95 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Computer Vision and Pattern Recognition 2.4k
- Artificial Intelligence 1.0k
- Aerospace Engineering 450
- Psychiatry and Mental health 201
- Cellular and Molecular Neuroscience 156
Countries citing papers authored by Saurabh Gupta
This map shows the geographic impact of Saurabh Gupta'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 Saurabh Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Gupta more than expected).
Fields of papers citing papers by Saurabh Gupta
This network shows the impact of papers produced by Saurabh Gupta. 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 Saurabh Gupta. The network helps show where Saurabh Gupta may publish in the future.
Co-authorship network of co-authors of Saurabh Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Gupta. A scholar is included among the top collaborators of Saurabh Gupta 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 Saurabh Gupta. Saurabh Gupta 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | Semantic visual navigation by watching YouTube videos | 10 |
| 16 | Learning Navigation Subroutines from Egocentric Videos. | 2 |
| 17 | Learning Navigation Subroutines by Watching Videos. | 4 |
| 18 | Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Point Clouds. | 10 |
| 19 | 0 | |
| 20 | Assessment of Endothelial Progenitor Cells in the Peripheral Blood of Patients with Diabetic Retinopathy | 1 |
About Saurabh Gupta
Saurabh Gupta is a scholar working on Computer Vision and Pattern Recognition, Oral Surgery and Orthodontics, having authored 113 papers that have together received 3.6k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Advanced Image and Video Retrieval Techniques (10 papers) and Advanced Neural Network Applications (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.4k citations), Artificial Intelligence (1.0k citations) and Geology (128 citations). Saurabh Gupta has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Jitendra Malik, Pablo Arbeláez, Judy Hoffman, Xiaodong He, Margaret Mitchell, Hao Fang, Geoffrey Zweig, Li Deng, Ross Girshick and Piotr Dollár. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Oncology and Waste Management.
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.