A. K. Mitra
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Oceanography top 10%
- Environmental Engineering
- Water Science and Technology
- Co-authors
- A. K. BohraM. RajeevanT. N. KrishnamurtiS. C. BhanAshis K. MitraD. S. PaiArun Kumar SharmaAnil Kumar Singh
- Topics
- Meteorological Phenomena and Simulations (19 papers)Climate variability and models (14 papers)Precipitation Measurement and Analysis (9 papers)
- Journals
- International Journal of Remote SensingNatural HazardsJournal of the Meteorological Society of Japan Ser II
- Partner nations
- IndiaUnited Arab EmiratesTunisia
In The Last Decade
A. K. Mitra
33 papers receiving 388 citations
Peers
Comparison fields: 5 of 36
- Atmospheric Science 351
- Global and Planetary Change 307
- Oceanography 58
- Environmental Engineering 51
- Water Science and Technology 19
Countries citing papers authored by A. K. Mitra
This map shows the geographic impact of A. K. Mitra'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 A. K. Mitra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. K. Mitra more than expected).
Fields of papers citing papers by A. K. Mitra
This network shows the impact of papers produced by A. K. Mitra. 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 A. K. Mitra. The network helps show where A. K. Mitra may publish in the future.
Co-authorship network of co-authors of A. K. Mitra
This figure shows the co-authorship network connecting the top 25 collaborators of A. K. Mitra. A scholar is included among the top collaborators of A. K. Mitra 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 A. K. Mitra. A. K. Mitra 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 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 1 | |
| 13 | 12 | |
| 14 | 5 | |
| 15 | A neural network approach for temperature retrieval from AMSU-A measurements onboard NOAA-15 and NOAA-16 satellites and a case study during Gonu cyclone | 7 |
| 16 | 189 | |
| 17 | Improving the quality of INSAT derived quantitative precipitation estimates using an neural network method | 7 |
| 18 | 1 | |
| 19 | Barnes objective analysis scheme of daily rainfall over Maharashtra (India) on a mesoscale grid | 19 |
| 20 | 2 |
About A. K. Mitra
A. K. Mitra is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography, having authored 38 papers that have together received 408 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (19 papers), Climate variability and models (14 papers) and Precipitation Measurement and Analysis (9 papers). The work is most often cited by research in Atmospheric Science (351 citations), Global and Planetary Change (307 citations) and Oceanography (58 citations). A. K. Mitra has collaborated with scholars based in India, United Arab Emirates and Tunisia. Frequent co-authors include A. K. Bohra, M. Rajeevan, T. N. Krishnamurti, S. C. Bhan, Ashis K. Mitra, D. S. Pai, Arun Kumar Sharma, Anil Kumar Singh, R. Bhatla and Prabir Kumar Kundu. Their work appears in journals such as International Journal of Remote Sensing, Natural Hazards and Journal of the Meteorological Society of Japan Ser II.
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.