Manil Maskey
Impact in
- Atmospheric Science top 10%
- Tropical and Extratropical Cyclones Research
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Oceanography top 10%
- Ocean Waves and Remote Sensing
Papers in
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- Computational Physics and Python Applications 5
- Geochemistry and Geologic Mapping 5
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- Scientific Computing and Data Management 15
- Co-authors
- Rahul Ramachandran (41 shared papers)Daniel J. Cecil (3 shared papers)Ramazan Aygün (1 shared paper)Jeffrey J. Miller (10 shared papers)Aaron Kaulfus (11 shared papers)U. S. Nair (3 shared papers)Kevin Murphy (2 shared papers)Hamed Alemohammad (2 shared papers)
- Journals
- IEEE Geoscience and Remote Sensing Magazine (3 papers)Computers & Geosciences (3 papers)Pattern Analysis and Applications (1 paper)IEEE Transactions on Image Processing (1 paper)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (1 paper)
- Partner nations
- United StatesJapanRomania
In The Last Decade
Manil Maskey
62 papers receiving 453 citations
Peers
Comparison fields: 5 of 76
- Atmospheric Science 247
- Oceanography 101
- Global and Planetary Change 174
- Information Systems and Management 45
- Computational Mathematics 3
Countries citing papers authored by Manil Maskey
This map shows the geographic impact of Manil Maskey'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 Manil Maskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manil Maskey more than expected).
Fields of papers citing papers by Manil Maskey
This network shows the impact of papers produced by Manil Maskey. 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 Manil Maskey. The network helps show where Manil Maskey may publish in the future.
Co-authors
The 25 scholars most cited alongside Manil Maskey, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 190 | |
| 2 | 2020 | 52 | |
| 3 | 2009 | 26 | |
| 4 | 2018 | 21 | |
| 5 | 2020 | 14 | |
| 6 | 2016 | 13 | |
| 7 | 2021 | 11 | |
| 8 | 2019 | 11 | |
| 9 | 2017 | 9 | |
| 10 | 2017 | 7 | |
| 11 | Using Deep Learning for Tropical Cyclone Intensity Estimation | 2017 | 7 |
| 12 | 2018 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2018 | 5 | |
| 16 | 2019 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2020 | 4 | |
| 19 | 2008 | 4 | |
| 20 | 2012 | 4 |
About Manil Maskey
Manil Maskey is a scholar working on Artificial Intelligence, Information Systems and Management, Global and Planetary Change, Atmospheric Science and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 470 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (15 papers), Distributed and Parallel Computing Systems (6 papers), Meteorological Phenomena and Simulations (6 papers), Tropical and Extratropical Cyclones Research (6 papers), Flood Risk Assessment and Management (5 papers), Atmospheric aerosols and clouds (5 papers), Computational Physics and Python Applications (5 papers) and Geochemistry and Geologic Mapping (5 papers). The work is most often cited by research in Atmospheric Science (247 citations), Oceanography (101 citations), Global and Planetary Change (174 citations), Information Systems and Management (45 citations) and Computational Mathematics (3 citations). Manil Maskey has collaborated with scholars based in United States, Japan and Romania. Frequent co-authors include Rahul Ramachandran, Daniel J. Cecil, Ramazan Aygün, Jeffrey J. Miller, Aaron Kaulfus, U. S. Nair, Kevin Murphy, Hamed Alemohammad, Timothy S. Newman and Mike Botts. Their work appears in journals such as IEEE Geoscience and Remote Sensing Magazine, Computers & Geosciences, Pattern Analysis and Applications, IEEE Transactions on Image Processing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.