Jitendra Agrawal
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Shikha AgrawalTom V. MathewSanjeev SharmaSeema SharmaNishchol MishraAnirban PalR. K. ShuklaKamlesh Kumar Gupta
- Topics
- Data Mining Algorithms and Applications (10 papers)Anesthesia and Pain Management (8 papers)Brain Tumor Detection and Classification (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaBritish Journal of AnaesthesiaNeural Computing and Applications
In The Last Decade
Jitendra Agrawal
61 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 531
- Computer Networks and Communications 317
- Information Systems 209
- Signal Processing 207
- Computer Vision and Pattern Recognition 127
Countries citing papers authored by Jitendra Agrawal
This map shows the geographic impact of Jitendra Agrawal'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 Jitendra Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitendra Agrawal more than expected).
Fields of papers citing papers by Jitendra Agrawal
This network shows the impact of papers produced by Jitendra Agrawal. 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 Jitendra Agrawal. The network helps show where Jitendra Agrawal may publish in the future.
Co-authorship network of co-authors of Jitendra Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Jitendra Agrawal. A scholar is included among the top collaborators of Jitendra Agrawal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jitendra Agrawal. Jitendra Agrawal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 3 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | A CRITICAL CASE OF CLOSED CERVIX PYOMETRA IN A BITCH | 1 |
| 12 | STUDY ON METABOLIC PROFILE OF REPEAT BREEDER, POST PARTUM ANESTROUS AND NORMAL CYCLIC SAHIWAL COWS | 1 |
| 13 | 1 | |
| 14 | 8 | |
| 15 | Occurrence of gross female genital tract abnormalities in sheep | 0 |
| 16 | Enhancing the Performance of Symmetric Key Cryptography Schema | 1 |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 50 | |
| 20 | 98 |
About Jitendra Agrawal
Jitendra Agrawal is a scholar working on Health Information Management, Geriatrics and Gerontology and Health Informatics, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Anesthesia and Pain Management (8 papers) and Brain Tumor Detection and Classification (5 papers). The work is most often cited by research in Signal Processing (207 citations), Artificial Intelligence (531 citations) and Transportation (99 citations). Jitendra Agrawal has collaborated with scholars based in India, Thailand and Taiwan. Frequent co-authors include Shikha Agrawal, Tom V. Mathew, Sanjeev Sharma, Sanjeev Sharma, Seema Sharma, Nishchol Mishra, Anirban Pal, R. K. Shukla, Kamlesh Kumar Gupta and Narendra S. Chaudhari. Their work appears in journals such as SHILAP Revista de lepidopterología, British Journal of Anaesthesia and Neural Computing and Applications.
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.