K. Rajendra Prasad
- Polymers and Plastics top 2%
- Conducting polymers and applications 9
- Electrochemistry top 5%
- Bioengineering top 5%
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- Electrochemical sensors and biosensors 5
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- Advanced Clustering Algorithms Research 13
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- Complex Network Analysis Techniques 6
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- Data Visualization and Analytics 5
- Image Retrieval and Classification Techniques 5
- Advanced Data Compression Techniques 4
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- Speech and Audio Processing 4
- Co-authors
- N. MunichandraiahNorio MiuraSujit MondalB. Eswara ReddyGanesh Babu LoganathanRonald C.W.Dinesh Kumar AngurajL V Narasimha Prasad
- Journals
- Applied Physics Letters (1 paper)Journal of Power Sources (2 papers)Journal of The Electrochemical Society (1 paper)
- Partner nations
- IndiaUnited StatesIraq
In The Last Decade
K. Rajendra Prasad
44 papers receiving 807 citations
Peers
Comparison fields: 5 of 72
- Polymers and Plastics 537
- Electronic, Optical and Magnetic Materials 405
- Electrochemistry 92
- Bioengineering 81
- Electrical and Electronic Engineering 401
Countries citing papers authored by K. Rajendra Prasad
This map shows the geographic impact of K. Rajendra Prasad'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 K. Rajendra Prasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Rajendra Prasad more than expected).
Fields of papers citing papers by K. Rajendra Prasad
This network shows the impact of papers produced by K. Rajendra Prasad. 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 K. Rajendra Prasad. The network helps show where K. Rajendra Prasad may publish in the future.
Co-authorship network
The 23 scholars most cited alongside K. Rajendra Prasad, 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 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 3 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 4 | |
| 10 | 2019 | 1 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 0 | |
| 13 | 2019 | 2 | |
| 14 | 2018 | 1 | |
| 15 | 2017 | 2 | |
| 16 | 2016 | 10 | |
| 17 | AAAMPS Copolymer for Dosimetric Applications | 2013 | 0 |
| 18 | DESIGN OF A MEMS PIEZOELECTRIC ACCELEROMETER | 2011 | 1 |
| 19 | 2002 | 139 | |
| 20 | 2002 | 25 |
About K. Rajendra Prasad
K. Rajendra Prasad is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 57 papers that have together received 844 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (13 papers), Conducting polymers and applications (9 papers), Complex Network Analysis Techniques (6 papers), Electrochemical sensors and biosensors (5 papers), Data Visualization and Analytics (5 papers), Image Retrieval and Classification Techniques (5 papers), Speech and Audio Processing (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Polymers and Plastics (537 citations), Electronic, Optical and Magnetic Materials (405 citations) and Electrochemistry (92 citations). K. Rajendra Prasad has collaborated with scholars based in India, United States and Iraq. Frequent co-authors include N. Munichandraiah, Norio Miura, Sujit Mondal, B. Eswara Reddy, Ganesh Babu Loganathan, Ronald C.W., Dinesh Kumar Anguraj, L V Narasimha Prasad, C.S. Raghavendra and P. Srinivasa Rao. Their work appears in journals such as Applied Physics Letters, Journal of Power Sources and Journal of The Electrochemical Society.
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.