Anand Prem Rajan
- Artificial Intelligence top 5%
- Hardware and Architecture top 2%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Immunology
- Co-authors
- Saibal MukhopadhyayMonodeep KarArvind SinghVivek DeSanu MathewRaja GanesanPrabhakaran Vasantha‐SrinivasanPatrick Koeberl
- Topics
- Physical Unclonable Functions (PUFs) and Hardware Security (15 papers)Cryptographic Implementations and Security (12 papers)Security and Verification in Computing (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaDiabetes CareProceedings of the IEEE
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Anand Prem Rajan
47 papers receiving 634 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Artificial Intelligence 324
- Hardware and Architecture 316
- Electrical and Electronic Engineering 174
- Computer Vision and Pattern Recognition 120
- Immunology 74
Countries citing papers authored by Anand Prem Rajan
This map shows the geographic impact of Anand Prem Rajan'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 Anand Prem Rajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anand Prem Rajan more than expected).
Fields of papers citing papers by Anand Prem Rajan
This network shows the impact of papers produced by Anand Prem Rajan. 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 Anand Prem Rajan. The network helps show where Anand Prem Rajan may publish in the future.
Co-authorship network of co-authors of Anand Prem Rajan
This figure shows the co-authorship network connecting the top 25 collaborators of Anand Prem Rajan. A scholar is included among the top collaborators of Anand Prem Rajan 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 Anand Prem Rajan. Anand Prem Rajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | Old age people problem’s and their importance in everyone’s life | 1 |
| 12 | 2 | |
| 13 | 0 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | Green technology for Glycerol waste from Biodiesel plant | 3 |
| 17 | 1 | |
| 18 | Trusted Systems - INTRUST 2011 | 1 |
| 19 | Review on the therapeutic potential of Vitex negundo Linn. | 4 |
| 20 | 3 |
About Anand Prem Rajan
Anand Prem Rajan is a scholar working on Hardware and Architecture, Applied Microbiology and Biotechnology and Artificial Intelligence, having authored 55 papers that have together received 652 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (15 papers), Cryptographic Implementations and Security (12 papers) and Security and Verification in Computing (8 papers). The work is most often cited by research in Hardware and Architecture (316 citations), Artificial Intelligence (324 citations) and Signal Processing (68 citations). Anand Prem Rajan has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Saibal Mukhopadhyay, Monodeep Kar, Arvind Singh, Vivek De, Sanu Mathew, Raja Ganesan, Prabhakaran Vasantha‐Srinivasan, Patrick Koeberl, Wei Wu and Venkata Chaitanya Krishna Chekuri. Their work appears in journals such as SHILAP Revista de lepidopterología, Diabetes Care and Proceedings of the IEEE.
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.