Mrinmoy Ray
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
Papers in
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- Smart Agriculture and AI 9
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- Stock Market Forecasting Methods 11
- Co-authors
- Kehar Singh (15 shared papers)Santosha Rathod (11 shared papers)Rajeev Ranjan Kumar (9 shared papers)Sudeep Marwaha (11 shared papers)Anirban Mukherjee (6 shared papers)Sudhir Kumar (5 shared papers)Alka Arora (9 shared papers)Viswanathan Chinnusamy (9 shared papers)
In The Last Decade
Mrinmoy Ray
65 papers receiving 689 citations
Peers
Comparison fields: 5 of 102
- Analytical Chemistry 104
- Plant Science 270
- Soil Science 66
- Management Science and Operations Research 85
- General Agricultural and Biological Sciences 48
Countries citing papers authored by Mrinmoy Ray
This map shows the geographic impact of Mrinmoy Ray'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 Mrinmoy Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mrinmoy Ray more than expected).
Fields of papers citing papers by Mrinmoy Ray
This network shows the impact of papers produced by Mrinmoy Ray. 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 Mrinmoy Ray. The network helps show where Mrinmoy Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Mrinmoy Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 93 | |
| 2 | 2019 | 36 | |
| 3 | 2019 | 35 | |
| 4 | 2020 | 31 | |
| 5 | 2024 | 26 | |
| 6 | 2018 | 24 | |
| 7 | 2021 | 24 | |
| 8 | 2018 | 23 | |
| 9 | 2020 | 22 | |
| 10 | 2020 | 22 | |
| 11 | 2024 | 19 | |
| 12 | 2018 | 19 | |
| 13 | 2017 | 19 | |
| 14 | 2017 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2020 | 15 | |
| 17 | 2024 | 14 | |
| 18 | 2016 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2024 | 13 |
About Mrinmoy Ray
Mrinmoy Ray is a scholar working on Plant Science, Management Science and Operations Research, General Agricultural and Biological Sciences, Analytical Chemistry and Environmental Engineering, having authored 76 papers that have together received 703 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (13 papers), Agricultural Economics and Practices (12 papers), Stock Market Forecasting Methods (11 papers), Energy Load and Power Forecasting (9 papers), Smart Agriculture and AI (9 papers), Remote Sensing in Agriculture (7 papers), Climate change impacts on agriculture (7 papers) and Hydrological Forecasting Using AI (7 papers). The work is most often cited by research in Analytical Chemistry (104 citations), Plant Science (270 citations), Soil Science (66 citations), Management Science and Operations Research (85 citations) and General Agricultural and Biological Sciences (48 citations). Mrinmoy Ray has collaborated with scholars based in India, Bulgaria and Italy. Frequent co-authors include Kehar Singh, Santosha Rathod, Rajeev Ranjan Kumar, Sudeep Marwaha, Anirban Mukherjee, Sudhir Kumar, Alka Arora, Viswanathan Chinnusamy, Vinay Kumar Sehgal and Rabi Narayan Sahoo. Their work appears in journals such as Scientific Reports, Current Science, Stochastic Environmental Research and Risk Assessment, International Journal of Biological Macromolecules and The Indian Journal of Agricultural Sciences.
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.