Arati Paul
Impact in
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
- Atmospheric Science top 10%
- Remote Sensing and Land Use
Papers in
-
- Remote-Sensing Image Classification 14
- Advanced Image Fusion Techniques 6
-
- Flood Risk Assessment and Management 5
- Climate variability and models 3
- Co-authors
- Nabendu Chaki (8 shared papers)Dibyendu Dutta (10 shared papers)V. K. Dadhwal (4 shared papers)V. M. Chowdary (6 shared papers)C. S. Jha (1 shared paper)M. M. Ali (2 shared papers)Debasish Chakraborty (5 shared papers)Uday Raj (1 shared paper)
- Journals
- Geocarto International (2 papers)Neural Computing and Applications (2 papers)Evolutionary Intelligence (1 paper)Multimedia Tools and Applications (1 paper)Applied Geomatics (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
Arati Paul
29 papers receiving 303 citations
Peers
Comparison fields: 5 of 51
- Media Technology 172
- Atmospheric Science 114
- Analytical Chemistry 37
- Computer Vision and Pattern Recognition 73
- Global and Planetary Change 74
Countries citing papers authored by Arati Paul
This map shows the geographic impact of Arati Paul'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 Arati Paul with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arati Paul more than expected).
Fields of papers citing papers by Arati Paul
This network shows the impact of papers produced by Arati Paul. 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 Arati Paul. The network helps show where Arati Paul may publish in the future.
Co-authors
The 17 scholars most cited alongside Arati Paul, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 35 | |
| 2 | 2015 | 35 | |
| 3 | 2017 | 29 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 20 | |
| 6 | 2019 | 20 | |
| 7 | 2017 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2019 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 11 | |
| 12 | 2014 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2016 | 8 | |
| 15 | 2021 | 7 | |
| 16 | 2022 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2023 | 2 |
About Arati Paul
Arati Paul is a scholar working on Media Technology, Global and Planetary Change, Atmospheric Science, Computer Vision and Pattern Recognition and Ocean Engineering, having authored 31 papers that have together received 310 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (14 papers), Remote Sensing and Land Use (9 papers), Advanced Image Fusion Techniques (6 papers), Flood Risk Assessment and Management (5 papers), Geographic Information Systems Studies (4 papers), Hydrology and Watershed Management Studies (4 papers), Climate variability and models (3 papers) and Automated Road and Building Extraction (3 papers). The work is most often cited by research in Media Technology (172 citations), Atmospheric Science (114 citations), Analytical Chemistry (37 citations), Computer Vision and Pattern Recognition (73 citations) and Global and Planetary Change (74 citations). Arati Paul has collaborated with scholars based in India and United States. Frequent co-authors include Nabendu Chaki, Dibyendu Dutta, V. K. Dadhwal, V. M. Chowdary, C. S. Jha, M. M. Ali, Debasish Chakraborty, Uday Raj, Soumya Bandyopadhyay and Debasish Chakraborty. Their work appears in journals such as Geocarto International, Neural Computing and Applications, Evolutionary Intelligence, Multimedia Tools and Applications and Applied Geomatics.
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.