M. Nirmala Devi

858 citations
95 papers · 421 · h-index 11

Impact in

Papers in

M. Nirmala Devi

73 papers receiving 387 citations

Peers

M. Nirmala Devi
Comparison fields: 5 of 90
  • Hardware and Architecture 141
  • Electrical and Electronic Engineering 227
  • Artificial Intelligence 88
  • Cellular and Molecular Neuroscience 46
  • Aerospace Engineering 61
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Citations per year

Countries citing papers authored by M. Nirmala Devi

Since Specialization
Citations

This map shows the geographic impact of M. Nirmala Devi'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 M. Nirmala Devi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Nirmala Devi more than expected).

Fields of papers citing papers by M. Nirmala Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Nirmala Devi. 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 M. Nirmala Devi. The network helps show where M. Nirmala Devi may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Nirmala Devi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Nirmala Devi Line = papers co-authored together M. Nirmala Devi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201938
2 201733
3 202226
4 200824
5
review of the literature and a case report
201022
6 201421
7 201819
8 202015
9 202213
10
Malicious hardware detection and design for trust: An analysis
201712
11 201710
12 202310
13 201510
14
Anomalous origin of the left vertebral artery from the arch of the aorta: review of the literature and a case report.
201010
15 20189
16 20218
17 20117
18 20167
19
False positive reduction in computer aided detection of mammographic masses using canonical correlation analysis
20146
20 20226

About M. Nirmala Devi

M. Nirmala Devi is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture, Artificial Intelligence, Computer Networks and Communications and Aerospace Engineering, having authored 95 papers that have together received 421 indexed citations. Recurring topics across this work include Integrated Circuits and Semiconductor Failure Analysis (29 papers), Physical Unclonable Functions (PUFs) and Hardware Security (27 papers), VLSI and Analog Circuit Testing (10 papers), Radio Frequency Integrated Circuit Design (9 papers), Neuroscience and Neural Engineering (7 papers), Neural Networks and Applications (7 papers), Antenna Design and Analysis (6 papers) and Chaos-based Image/Signal Encryption (5 papers). The work is most often cited by research in Hardware and Architecture (141 citations), Electrical and Electronic Engineering (227 citations), Artificial Intelligence (88 citations), Cellular and Molecular Neuroscience (46 citations) and Aerospace Engineering (61 citations). M. Nirmala Devi has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include M. Jayakumar, S. Arumugam, N. Mohankumar, Ramesh Bhakthavatchalu, Jimson Mathew, Rajat Subhra Chakraborty, R Lavanya, Samuel Pagliarini, M. Ganesan and Gowri Srinivasa. Their work appears in journals such as Indian Journal of Science and Technology, Measurement, IEEE Access, IEEE Antennas and Wireless Propagation Letters and International Journal on Communications Antenna and Propagation (IRECAP).

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.

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