Durgesh Srivastava
- Artificial Intelligence top 5%
- Sentiment Analysis and Opinion Mining 6
- Advanced Text Analysis Techniques 4
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- Network Security and Intrusion Detection 6
- Signal Processing top 10%
- Advanced Malware Detection Techniques 3
- Music and Audio Processing 2
- Information Systems top 10%
- Software Engineering Research 2
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- Online Learning and Analytics 2
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- Smart Agriculture and AI 2
- Co-authors
- Deepak SinwarRajeshwar SinghChinmay ChakrabortyAlok AggarwalSatvik VatsJ. LogeshwaranAaisha MakkarR. Sangeetha
- Journals
- Signal Processing Image Communication (1 paper)Indian Journal of Science and Technology (1 paper)Engineering Management Journal (1 paper)
- Partner nations
- IndiaUnited KingdomTaiwan
In The Last Decade
Durgesh Srivastava
37 papers receiving 498 citations
Peers
Comparison fields: 5 of 111
- Health Information Management 37
- Artificial Intelligence 203
- Computer Networks and Communications 125
- Signal Processing 56
- Information Systems 91
Countries citing papers authored by Durgesh Srivastava
This map shows the geographic impact of Durgesh 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 Durgesh Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Durgesh Srivastava more than expected).
Fields of papers citing papers by Durgesh Srivastava
This network shows the impact of papers produced by Durgesh 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 Durgesh Srivastava. The network helps show where Durgesh Srivastava may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Durgesh 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 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 26 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 20 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 4 | |
| 13 | 2022 | 5 | |
| 14 | 2022 | 3 | |
| 15 | Performance Evaluation Of Entropy Based Graph Network Intrusion Detection System (E-Ids) | 2019 | 11 |
| 16 | 2017 | 17 | |
| 17 | 2016 | 3 | |
| 18 | Big Challenges in Big Data Research | 2014 | 3 |
| 19 | Data Classification: A Rough - SVM Approach | 2010 | 9 |
| 20 | 1996 | 0 |
About Durgesh Srivastava
Durgesh Srivastava is a scholar working on Signal Processing, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Computer Science Applications, having authored 42 papers that have together received 532 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (6 papers), Network Security and Intrusion Detection (6 papers), Advanced Text Analysis Techniques (4 papers), Advanced Malware Detection Techniques (3 papers), Online Learning and Analytics (2 papers), Software Engineering Research (2 papers), Music and Audio Processing (2 papers) and Smart Agriculture and AI (2 papers). The work is most often cited by research in Health Information Management (37 citations), Artificial Intelligence (203 citations), Computer Networks and Communications (125 citations), Signal Processing (56 citations) and Information Systems (91 citations). Durgesh Srivastava has collaborated with scholars based in India, United Kingdom and Taiwan. Frequent co-authors include Deepak Sinwar, Rajeshwar Singh, Chinmay Chakraborty, Alok Aggarwal, Satvik Vats, Rajeshwar Singh, J. Logeshwaran, Aaisha Makkar, R. Sangeetha and Surbhi Bhatia. Their work appears in journals such as Signal Processing Image Communication, Indian Journal of Science and Technology, Engineering Management Journal, Multimedia Tools and Applications and Microprocessors and Microsystems.
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.