Deepak Sinwar
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Plant Science top 10%
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Plant Disease Management Techniques
Papers in
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- Reliability and Maintenance Optimization 8
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- Opportunistic and Delay-Tolerant Networks 3
- Co-authors
- Vijaypal Singh Dhaka (11 shared papers)Kavita Kavita (1 shared paper)Muhammad Fazal Ijaz (1 shared paper)Geeta Rani (1 shared paper)Marcin Woźniak (1 shared paper)Monika Saini (14 shared papers)Ashish Kumar (14 shared papers)Vijander Singh (10 shared papers)
In The Last Decade
Deepak Sinwar
39 papers receiving 666 citations
Deepak Sinwar's Hit Papers
Peers
Comparison fields: 5 of 102
- Analytical Chemistry 92
- Plant Science 287
- Health Informatics 8
- Computer Networks and Communications 124
- Safety, Risk, Reliability and Quality 31
Countries citing papers authored by Deepak Sinwar
This map shows the geographic impact of Deepak Sinwar'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 Deepak Sinwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepak Sinwar more than expected).
Fields of papers citing papers by Deepak Sinwar
This network shows the impact of papers produced by Deepak Sinwar. 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 Deepak Sinwar. The network helps show where Deepak Sinwar may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepak Sinwar, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases Hit paper breakdown → | 2021 | 288 |
| 2 | 2019 | 53 | |
| 3 | 2022 | 41 | |
| 4 | 2023 | 39 | |
| 5 | 2020 | 35 | |
| 6 | 2021 | 30 | |
| 7 | 2023 | 22 | |
| 8 | 2021 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2021 | 13 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2023 | 11 | |
| 14 | 2020 | 10 | |
| 15 | 2021 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 7 | |
| 18 | 2021 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2021 | 6 |
About Deepak Sinwar
Deepak Sinwar is a scholar working on Safety, Risk, Reliability and Quality, Computer Networks and Communications, Artificial Intelligence, Modeling and Simulation and Media Technology, having authored 49 papers that have together received 699 indexed citations. Recurring topics across this work include Reliability and Maintenance Optimization (8 papers), Smart Agriculture and AI (5 papers), COVID-19 epidemiological studies (3 papers), COVID-19 diagnosis using AI (3 papers), COVID-19 Pandemic Impacts (3 papers), UAV Applications and Optimization (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Opportunistic and Delay-Tolerant Networks (3 papers). The work is most often cited by research in Analytical Chemistry (92 citations), Plant Science (287 citations), Health Informatics (8 citations), Computer Networks and Communications (124 citations) and Safety, Risk, Reliability and Quality (31 citations). Deepak Sinwar has collaborated with scholars based in India, Ethiopia and Norway. Frequent co-authors include Vijaypal Singh Dhaka, Kavita Kavita, Muhammad Fazal Ijaz, Geeta Rani, Marcin Woźniak, Monika Saini, Ashish Kumar, Vijander Singh, Geeta Rani and Chinmay Chakraborty. Their work appears in journals such as Journal of Quality in Maintenance Engineering, Computer Communications, IEEE Access, Journal of Engineering Mathematics and International Journal on Document Analysis and Recognition (IJDAR).
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.