Reshu Agarwal
Impact in
- Global and Planetary Change top 10%
- Land Use and Ecosystem Services
- Conservation, Biodiversity, and Resource Management
- Atmospheric and Environmental Gas Dynamics
- Forestry top 10%
Papers in
-
- Imbalanced Data Classification Techniques 5
-
- Data Mining Algorithms and Applications 8
- Co-authors
- Subrata Nandy (3 shared papers)S. P. S. Kushwaha (3 shared papers)Rakesh Kumar (1 shared paper)Mandeep Mittal (7 shared papers)J. K. Garg (4 shared papers)Sarla Pareek (5 shared papers)Manzoor A. Shah (1 shared paper)Sunil Kumar Khatri (3 shared papers)
- Journals
- Current Science (2 papers)BMJ Open (1 paper)Ecological Indicators (1 paper)Biomedical Signal Processing and Control (1 paper)Canadian Journal of Remote Sensing (1 paper)
- Partner nations
- IndiaUnited Arab EmiratesCanada
In The Last Decade
Reshu Agarwal
47 papers receiving 299 citations
Peers
Comparison fields: 5 of 90
- Global and Planetary Change 139
- Forestry 22
- Medical Laboratory Technology 5
- Ecology 78
- Management Information Systems 23
Countries citing papers authored by Reshu Agarwal
This map shows the geographic impact of Reshu Agarwal'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 Reshu Agarwal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reshu Agarwal more than expected).
Fields of papers citing papers by Reshu Agarwal
This network shows the impact of papers produced by Reshu Agarwal. 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 Reshu Agarwal. The network helps show where Reshu Agarwal may publish in the future.
Co-authors
The 25 scholars most cited alongside Reshu Agarwal, 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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 125 | |
| 2 | 2019 | 18 | |
| 3 | 2018 | 16 | |
| 4 | Methane emission modelling from wetlands and waterlogged areas using MODIS data | 2009 | 13 |
| 5 | 2007 | 13 | |
| 6 | 2015 | 11 | |
| 7 | 2024 | 8 | |
| 8 | 2016 | 8 | |
| 9 | 2014 | 7 | |
| 10 | 2017 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2022 | 6 | |
| 14 | 2012 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2015 | 4 | |
| 20 | 2021 | 4 |
About Reshu Agarwal
Reshu Agarwal is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Global and Planetary Change and Management Information Systems, having authored 55 papers that have together received 319 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (8 papers), Rough Sets and Fuzzy Logic (7 papers), Remote Sensing in Agriculture (5 papers), Supply Chain and Inventory Management (5 papers), Imbalanced Data Classification Techniques (5 papers), Land Use and Ecosystem Services (4 papers), Gaze Tracking and Assistive Technology (3 papers) and Atmospheric and Environmental Gas Dynamics (3 papers). The work is most often cited by research in Global and Planetary Change (139 citations), Forestry (22 citations), Medical Laboratory Technology (5 citations), Ecology (78 citations) and Management Information Systems (23 citations). Reshu Agarwal has collaborated with scholars based in India, United Arab Emirates and Canada. Frequent co-authors include Subrata Nandy, S. P. S. Kushwaha, Rakesh Kumar, Mandeep Mittal, J. K. Garg, Sarla Pareek, Manzoor A. Shah, Sunil Kumar Khatri, Amrita Rai and Pritam Ranjan. Their work appears in journals such as Current Science, BMJ Open, Ecological Indicators, Biomedical Signal Processing and Control and Canadian Journal of 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.