Divya Kumar
Impact in
- Software top 10%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Metaheuristic Optimization Algorithms Research 5
- Speech Recognition and Synthesis 5
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- Blockchain Technology Applications and Security 5
- Co-authors
- K. K. Mishra (8 shared papers)Hector Budman (5 shared papers)Ritu Agarwal (1 shared paper)Saurabh Bhardwaj (1 shared paper)Anil Kumar Singh (1 shared paper)Priyanka Paliwal (1 shared paper)Arun K. Misra (1 shared paper)Sachin Kumar (1 shared paper)
- Journals
- Wireless Personal Communications (1 paper)Computers & Chemical Engineering (1 paper)Journal of Process Control (1 paper)Chemical Engineering Science (1 paper)Swarm and Evolutionary Computation (1 paper)
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Divya Kumar
38 papers receiving 428 citations
Peers
Comparison fields: 5 of 83
- Software 49
- Signal Processing 89
- Artificial Intelligence 190
- Information Systems 81
- Management Science and Operations Research 38
Countries citing papers authored by Divya Kumar
This map shows the geographic impact of Divya Kumar'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 Divya Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Kumar more than expected).
Fields of papers citing papers by Divya Kumar
This network shows the impact of papers produced by Divya Kumar. 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 Divya Kumar. The network helps show where Divya Kumar may publish in the future.
Co-authors
The 22 scholars most cited alongside Divya Kumar, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 56 | |
| 2 | 2016 | 53 | |
| 3 | 2018 | 46 | |
| 4 | 2020 | 42 | |
| 5 | 2020 | 40 | |
| 6 | 2019 | 31 | |
| 7 | 2018 | 24 | |
| 8 | 2020 | 18 | |
| 9 | 2014 | 15 | |
| 10 | 2022 | 13 | |
| 11 | 2017 | 11 | |
| 12 | 2016 | 11 | |
| 13 | 2022 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2010 | 8 | |
| 16 | 2017 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2017 | 6 | |
| 19 | 2011 | 5 | |
| 20 | 2020 | 4 |
About Divya Kumar
Divya Kumar is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Control and Systems Engineering and Computational Theory and Mathematics, having authored 46 papers that have together received 451 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (7 papers), Metaheuristic Optimization Algorithms Research (5 papers), Advanced Multi-Objective Optimization Algorithms (5 papers), Blockchain Technology Applications and Security (5 papers), Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers), Fault Detection and Control Systems (4 papers) and Emotion and Mood Recognition (4 papers). The work is most often cited by research in Software (49 citations), Signal Processing (89 citations), Artificial Intelligence (190 citations), Information Systems (81 citations) and Management Science and Operations Research (38 citations). Divya Kumar has collaborated with scholars based in India, Canada and United States. Frequent co-authors include K. K. Mishra, Hector Budman, Ritu Agarwal, Saurabh Bhardwaj, Anil Kumar Singh, Priyanka Paliwal, Arun K. Misra, Sachin Kumar, Ankit Kumar and Dharmender Singh Kushwaha. Their work appears in journals such as Wireless Personal Communications, Computers & Chemical Engineering, Journal of Process Control, Chemical Engineering Science and Swarm and Evolutionary Computation.
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.