T. Nandha Kumar

127 total papers · 1.1k total citations
93 papers, 744 citations indexed

About

T. Nandha Kumar is a scholar working on Electrical and Electronic Engineering, Hardware and Architecture and Cellular and Molecular Neuroscience. According to data from OpenAlex, T. Nandha Kumar has authored 93 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Electrical and Electronic Engineering, 18 papers in Hardware and Architecture and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in T. Nandha Kumar's work include Advanced Memory and Neural Computing (46 papers), Ferroelectric and Negative Capacitance Devices (30 papers) and Low-power high-performance VLSI design (13 papers). T. Nandha Kumar is often cited by papers focused on Advanced Memory and Neural Computing (46 papers), Ferroelectric and Negative Capacitance Devices (30 papers) and Low-power high-performance VLSI design (13 papers). T. Nandha Kumar collaborates with scholars based in Malaysia, United States and India. T. Nandha Kumar's co-authors include Haider A. F. Almurib, Fabrizio Lombardi, Haider Abbas, Brajesh Kumar Kaushik, K. B. Jinesh, M.A. Hussain, Željko Žilić, S. R. S. Prabaharan, G. Harikrishnan and T. Umasankar Patro and has published in prestigious journals such as Journal of Materials Chemistry A, IEEE Transactions on Computers and Electronics Letters.

In The Last Decade

T. Nandha Kumar

85 papers receiving 710 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
T. Nandha Kumar 591 116 115 99 74 93 744
Tobias G. Noll 386 0.7× 78 0.7× 57 0.5× 88 0.9× 85 1.1× 64 741
Amit Ranjan Trivedi 667 1.1× 77 0.7× 44 0.4× 97 1.0× 62 0.8× 89 832
Riccardo Della Sala 374 0.6× 82 0.7× 161 1.4× 262 2.6× 76 1.0× 68 681
Kyuho Lee 451 0.8× 52 0.4× 67 0.6× 195 2.0× 201 2.7× 51 771
Guohe Zhang 438 0.7× 35 0.3× 75 0.7× 88 0.9× 121 1.6× 101 664
Jianlei Yang 551 0.9× 47 0.4× 173 1.5× 44 0.4× 109 1.5× 93 869
Wenfeng Zhao 436 0.7× 162 1.4× 210 1.8× 172 1.7× 49 0.7× 46 664
Zhen Wang 460 0.8× 81 0.7× 77 0.7× 38 0.4× 109 1.5× 48 731
Wenjie Xiong 361 0.6× 120 1.0× 177 1.5× 48 0.5× 27 0.4× 63 753
W. Liu 587 1.0× 254 2.2× 128 1.1× 189 1.9× 22 0.3× 38 776

Countries citing papers authored by T. Nandha Kumar

Since Specialization
Citations

This map shows the geographic impact of T. Nandha Kumar'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 T. Nandha Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Nandha Kumar more than expected).

Fields of papers citing papers by T. Nandha Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Nandha Kumar. 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 T. Nandha Kumar. The network helps show where T. Nandha Kumar may publish in the future.

Co-authorship network of co-authors of T. Nandha Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of T. Nandha Kumar. A scholar is included among the top collaborators of T. Nandha Kumar 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 T. Nandha Kumar. T. Nandha Kumar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026