Mahesh Gour
- Plant Science top 5%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Analytical Chemistry top 5%
- Co-authors
- Sweta JainT. Sunil KumarVivek KanhangadVijay Bhaskar SemwalNiladri B. PuhanAna F. SequeiraLulu ChenJosef Bigün
- Topics
- AI in cancer detection (6 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)COVID-19 diagnosis using AI (5 papers)
- Journals
- Scientific ReportsComputers and Electronics in AgricultureComputers in Biology and Medicine
- Partner nations
- IndiaSwedenSwitzerland
In The Last Decade
Mahesh Gour
10 papers receiving 771 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Plant Science 395
- Artificial Intelligence 272
- Radiology, Nuclear Medicine and Imaging 246
- Computer Vision and Pattern Recognition 168
- Analytical Chemistry 131
Countries citing papers authored by Mahesh Gour
This map shows the geographic impact of Mahesh 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 Mahesh Gour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Gour more than expected).
Fields of papers citing papers by Mahesh Gour
This network shows the impact of papers produced by Mahesh 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 Mahesh Gour. The network helps show where Mahesh Gour may publish in the future.
Co-authorship network of co-authors of Mahesh Gour
This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Gour. A scholar is included among the top collaborators of Mahesh 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 Mahesh Gour. Mahesh 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 | 14 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 52 | |
| 6 | 49 | |
| 7 | 12 | |
| 8 | Tomato plant disease detection using transfer learning with C-GAN synthetic imagesbreakdown → | 425 |
| 9 | 194 | |
| 10 | 15 | |
| 11 | 26 |
About Mahesh Gour
Mahesh Gour is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 11 papers that have together received 801 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 diagnosis using AI (5 papers). The work is most often cited by research in Analytical Chemistry (131 citations), Radiology, Nuclear Medicine and Imaging (246 citations) and Plant Science (395 citations). Mahesh Gour has collaborated with scholars based in India, Sweden and Switzerland. Frequent co-authors include Sweta Jain, T. Sunil Kumar, Vivek Kanhangad, Vijay Bhaskar Semwal, Niladri B. Puhan, Ana F. Sequeira, Lulu Chen, Josef Bigün, Peter Wild and James Ferryman. Their work appears in journals such as Scientific Reports, Computers and Electronics in Agriculture and Computers in Biology and Medicine.
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.