Rajesh Prasad
- Hardware and Architecture top 10%
- Network Packet Processing and Optimization 22
- Artificial Intelligence top 5%
- Algorithms and Data Compression 31
- Natural Language Processing Techniques 7
- Health Information Management top 10%
- Artificial Intelligence in Healthcare 8
- Information Systems top 10%
- Web Data Mining and Analysis 11
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- Genomics and Phylogenetic Studies 7
- DNA and Biological Computing 6
- Machine Learning in Bioinformatics 5
- Co-authors
- Nkiruka OduSuneeta AgarwalSumit MishraGautam SenG. Usha RaniPriti RaniSanjay MisraSunita Yadav
- Journals
- SHILAP Revista de lepidopterología (2 papers)IEEE Access (2 papers)IEEE Communications Magazine (1 paper)
In The Last Decade
Rajesh Prasad
89 papers receiving 469 citations
Peers
Comparison fields: 5 of 117
- Hardware and Architecture 56
- Health Informatics 10
- Artificial Intelligence 205
- Health Information Management 20
- Information Systems 78
Countries citing papers authored by Rajesh Prasad
This map shows the geographic impact of Rajesh 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 Rajesh Prasad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rajesh Prasad more than expected).
Fields of papers citing papers by Rajesh Prasad
This network shows the impact of papers produced by Rajesh 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 Rajesh Prasad. The network helps show where Rajesh Prasad may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rajesh 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 15 | |
| 12 | 2020 | 11 | |
| 13 | 2019 | 35 | |
| 14 | 2018 | 17 | |
| 15 | 2016 | 9 | |
| 16 | 2013 | 1 | |
| 17 | Maintaining software through bit-parallelism and hashing the parameterized q-grams | 2012 | 1 |
| 18 | 2011 | 4 | |
| 19 | 2011 | 43 | |
| 20 | 2007 | 5 |
About Rajesh Prasad
Rajesh Prasad is a scholar working on Hardware and Architecture, Artificial Intelligence and Health Information Management, having authored 97 papers that have together received 502 indexed citations. Recurring topics across this work include Algorithms and Data Compression (31 papers), Network Packet Processing and Optimization (22 papers), Web Data Mining and Analysis (11 papers), Artificial Intelligence in Healthcare (8 papers), Natural Language Processing Techniques (7 papers), Genomics and Phylogenetic Studies (7 papers), DNA and Biological Computing (6 papers) and Machine Learning in Bioinformatics (5 papers). The work is most often cited by research in Hardware and Architecture (56 citations), Health Informatics (10 citations) and Artificial Intelligence (205 citations). Rajesh Prasad has collaborated with scholars based in India, Nigeria and Malaysia. Frequent co-authors include Nkiruka Odu, Suneeta Agarwal, Sumit Mishra, Gautam Sen, G. Usha Rani, Priti Rani, Sanjay Misra, Sunita Yadav, Santosh Kumar Upadhyay and Arun Kumar Yadav. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.
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.