Mukund Pratap Singh
- Plant Science
- Analytical Chemistry top 10%
- Ecology
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Co-authors
- Prabhjot KaurSantar Pal SinghVinay GautamShilpi HarnalPitam SinghPrabhishek SinghManoj DiwakarSoumya Ranjan Nayak
- Topics
- Smart Agriculture and AI (11 papers)Remote Sensing in Agriculture (4 papers)Spectroscopy and Chemometric Analyses (4 papers)
- Journals
- Scientific ReportsEngineering Applications of Artificial IntelligenceMultimedia Tools and Applications
- Partner nations
- IndiaSaudi ArabiaJordan
In The Last Decade
Mukund Pratap Singh
19 papers receiving 262 citations
Peers
Comparison fields: 5 of 70
- Plant Science 169
- Analytical Chemistry 71
- Ecology 35
- Computer Vision and Pattern Recognition 27
- Artificial Intelligence 24
Countries citing papers authored by Mukund Pratap Singh
This map shows the geographic impact of Mukund Pratap Singh'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 Mukund Pratap Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mukund Pratap Singh more than expected).
Fields of papers citing papers by Mukund Pratap Singh
This network shows the impact of papers produced by Mukund Pratap Singh. 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 Mukund Pratap Singh. The network helps show where Mukund Pratap Singh may publish in the future.
Co-authorship network of co-authors of Mukund Pratap Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Mukund Pratap Singh. A scholar is included among the top collaborators of Mukund Pratap Singh 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 Mukund Pratap Singh. Mukund Pratap Singh 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 | 0 | |
| 3 | 0 | |
| 4 | 9 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 1 | |
| 11 | 14 | |
| 12 | 5 | |
| 13 | 0 | |
| 14 | 5 | |
| 15 | 0 | |
| 16 | 21 | |
| 17 | 72 | |
| 18 | 62 | |
| 19 | 18 | |
| 20 | 2 |
About Mukund Pratap Singh
Mukund Pratap Singh is a scholar working on Analytical Chemistry, Signal Processing and Plant Science, having authored 24 papers that have together received 279 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Remote Sensing in Agriculture (4 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Analytical Chemistry (71 citations), Plant Science (169 citations) and Management, Monitoring, Policy and Law (21 citations). Mukund Pratap Singh has collaborated with scholars based in India, Saudi Arabia and Jordan. Frequent co-authors include Prabhjot Kaur, Santar Pal Singh, Vinay Gautam, Shilpi Harnal, Pitam Singh, Prabhishek Singh, Manoj Diwakar, Soumya Ranjan Nayak, Basu Dev Shivahare and Jagendra Singh. Their work appears in journals such as Scientific Reports, Engineering Applications of Artificial Intelligence and Multimedia Tools and Applications.
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.