Devesh Kumar Srivastava
- Signal Processing top 10%
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- Software System Performance and Reliability 3
- Artificial Intelligence top 10%
- Internet Traffic Analysis and Secure E-voting 3
- Information Systems top 10%
- Cloud Computing and Resource Management 3
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- Advanced Steganography and Watermarking Techniques 4
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- Smart Agriculture and AI 6
- Leaf Properties and Growth Measurement 3
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- Spectroscopy and Chemometric Analyses 4
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- Vehicle License Plate Recognition 3
Devesh Kumar Srivastava
34 papers receiving 260 citations
Peers
Comparison fields: 5 of 72
- Signal Processing 55
- Computer Networks and Communications 94
- Artificial Intelligence 127
- Information Systems 66
- Computer Vision and Pattern Recognition 44
Countries citing papers authored by Devesh Kumar Srivastava
This map shows the geographic impact of Devesh Kumar Srivastava'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 Devesh Kumar Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devesh Kumar Srivastava more than expected).
Fields of papers citing papers by Devesh Kumar Srivastava
This network shows the impact of papers produced by Devesh Kumar Srivastava. 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 Devesh Kumar Srivastava. The network helps show where Devesh Kumar Srivastava may publish in the future.
Co-authorship network
The 14 scholars most cited alongside Devesh Kumar Srivastava, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 31 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 2 | |
| 7 | 2022 | 3 | |
| 8 | Detection and Classification Techniques of Citrus Leaves Diseases: A Survey | 2021 | 7 |
| 9 | 2021 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 2 | |
| 13 | 2019 | 3 | |
| 14 | 2018 | 22 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 2 | |
| 17 | A Very Robust Dedicated and Verified Technique by Applying the Hybridity of Cloud for Deduplication of Data | 2015 | 1 |
| 18 | 2014 | 3 | |
| 19 | 2013 | 1 | |
| 20 | 2011 | 3 |
About Devesh Kumar Srivastava
Devesh Kumar Srivastava is a scholar working on Media Technology, Software and Information Systems, having authored 35 papers that have together received 276 indexed citations. Recurring topics across this work include Smart Agriculture and AI (6 papers), Advanced Steganography and Watermarking Techniques (4 papers), Spectroscopy and Chemometric Analyses (4 papers), Vehicle License Plate Recognition (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Cloud Computing and Resource Management (3 papers), Leaf Properties and Growth Measurement (3 papers) and Software System Performance and Reliability (3 papers). The work is most often cited by research in Signal Processing (55 citations), Computer Networks and Communications (94 citations) and Artificial Intelligence (127 citations). Devesh Kumar Srivastava has collaborated with scholars based in India, Nepal and Australia. Frequent co-authors include Sandeep Chaurasia, Pratistha Mathur, Roheet Bhatnagar, Pradeep Kumar Tiwari, Mayank Srivastava, Ajay Kumar, Durg Singh Chauhan, Andrea Westerinen, Raghuraj Singh and Akhilesh Sharma. Their work appears in journals such as Computational Intelligence and Neuroscience, IEEE Access, IEEE Communications Magazine, Sensors and JUCS - Journal of Universal Computer Science.
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.