N. Nalla Anandakumar
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security 13
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- Chaos-based Image/Signal Encryption 4
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- Neuroscience and Neural Engineering 3
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- Integrated Circuits and Semiconductor Failure Analysis 6
- Advanced Memory and Neural Computing 2
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- Cryptographic Implementations and Security 7
- Cryptography and Data Security 1
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- Information and Cyber Security 1
- Co-authors
- Mohammad HashmiSomitra Kumar SanadhyaMark TehranipoorMuhammad Akmal ChaudharyKimia Zamiri AzarFarimah FarahmandiFahim Rahman
- Cited by
- Hardware and ArchitectureComputer Vision and Pattern RecognitionCellular and Molecular Neuroscience
- Partner nations
- KazakhstanIndiaUnited States
In The Last Decade
N. Nalla Anandakumar
14 papers receiving 243 citations
Peers
Comparison fields: 5 of 20
- Hardware and Architecture 188
- Computer Vision and Pattern Recognition 85
- Cellular and Molecular Neuroscience 49
- Electrical and Electronic Engineering 140
- Biophysics 13
Countries citing papers authored by N. Nalla Anandakumar
This map shows the geographic impact of N. Nalla Anandakumar'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 N. Nalla Anandakumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Nalla Anandakumar more than expected).
Fields of papers citing papers by N. Nalla Anandakumar
This network shows the impact of papers produced by N. Nalla Anandakumar. 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 N. Nalla Anandakumar. The network helps show where N. Nalla Anandakumar may publish in the future.
Co-authorship network
The 8 scholars most cited alongside N. Nalla Anandakumar, 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 | 2023 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 9 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 15 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 43 | |
| 8 | 2020 | 5 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 1 | |
| 11 | 2019 | 87 | |
| 12 | 2018 | 11 | |
| 13 | 2017 | 35 | |
| 14 | 2012 | 4 |
About N. Nalla Anandakumar
N. Nalla Anandakumar is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 254 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (13 papers), Cryptographic Implementations and Security (7 papers), Integrated Circuits and Semiconductor Failure Analysis (6 papers), Chaos-based Image/Signal Encryption (4 papers), Neuroscience and Neural Engineering (3 papers), Advanced Memory and Neural Computing (2 papers), Information and Cyber Security (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Hardware and Architecture (188 citations), Computer Vision and Pattern Recognition (85 citations) and Cellular and Molecular Neuroscience (49 citations). N. Nalla Anandakumar has collaborated with scholars based in Kazakhstan, India and United States. Frequent co-authors include Mohammad Hashmi, Somitra Kumar Sanadhya, Mark Tehranipoor, Muhammad Akmal Chaudhary, Mark Tehranipoor, Kimia Zamiri Azar, Farimah Farahmandi and Fahim Rahman.
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.