Neha Gour
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Ophthalmology top 5%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Pritee KhannaAparajita OjhaNaoufel WerghiTaimur HassanMuhammad OwaisIyyakutti Iyappan GanapathiMohamed L. SeghierErnesto Damiani
- Topics
- Retinal Imaging and Analysis (11 papers)Digital Imaging for Blood Diseases (9 papers)Glaucoma and retinal disorders (6 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial InformaticsPattern Recognition Letters
- Partner nations
- IndiaUnited Arab EmiratesAustralia
In The Last Decade
Neha Gour
14 papers receiving 322 citations
Peers
Comparison fields: 5 of 53
- Radiology, Nuclear Medicine and Imaging 253
- Computer Vision and Pattern Recognition 168
- Ophthalmology 160
- Artificial Intelligence 45
- Biomedical Engineering 34
Countries citing papers authored by Neha Gour
This map shows the geographic impact of Neha Gour'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 Neha Gour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Gour more than expected).
Fields of papers citing papers by Neha Gour
This network shows the impact of papers produced by Neha Gour. 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 Neha Gour. The network helps show where Neha Gour may publish in the future.
Co-authorship network of co-authors of Neha Gour
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Gour. A scholar is included among the top collaborators of Neha Gour 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 Neha Gour. Neha Gour 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 | 14 | |
| 4 | 9 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 40 | |
| 9 | 0 | |
| 10 | 7 | |
| 11 | 20 | |
| 12 | 125 | |
| 13 | 55 | |
| 14 | 30 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 9 |
About Neha Gour
Neha Gour is a scholar working on Ophthalmology, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 334 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (11 papers), Digital Imaging for Blood Diseases (9 papers) and Glaucoma and retinal disorders (6 papers). The work is most often cited by research in Ophthalmology (160 citations), Radiology, Nuclear Medicine and Imaging (253 citations) and Computer Vision and Pattern Recognition (168 citations). Neha Gour has collaborated with scholars based in India, United Arab Emirates and Australia. Frequent co-authors include Pritee Khanna, Aparajita Ojha, Naoufel Werghi, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Mohamed L. Seghier, Ernesto Damiani, Mohammed Bennamoun and Syed Sadaf Ali. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Informatics and Pattern Recognition Letters.
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.