V.N.A. Naikan

100 total papers · 1.5k total citations
77 papers, 1.1k citations indexed

About

V.N.A. Naikan is a scholar working on Safety, Risk, Reliability and Quality, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, V.N.A. Naikan has authored 77 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Safety, Risk, Reliability and Quality, 22 papers in Control and Systems Engineering and 21 papers in Mechanical Engineering. Recurrent topics in V.N.A. Naikan's work include Reliability and Maintenance Optimization (25 papers), Machine Fault Diagnosis Techniques (18 papers) and Risk and Safety Analysis (10 papers). V.N.A. Naikan is often cited by papers focused on Reliability and Maintenance Optimization (25 papers), Machine Fault Diagnosis Techniques (18 papers) and Risk and Safety Analysis (10 papers). V.N.A. Naikan collaborates with scholars based in India, Australia and United Kingdom. V.N.A. Naikan's co-authors include Gurmeet Singh, T. Ch. Anil Kumar, Soumava Boral, Sanjay K. Chaturvedi, Ian Howard, Kristoffer McKee, Christopher C. Yang, S.P. Sarmah, Shaomin Wu and A.R. Mohanty and has published in prestigious journals such as International Journal of Production Economics, Mechanical Systems and Signal Processing and International Journal of Production Research.

In The Last Decade

V.N.A. Naikan

74 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
V.N.A. Naikan 372 296 282 213 204 77 1.1k
Melinda Hodkiewicz 234 0.6× 197 0.7× 186 0.7× 109 0.5× 141 0.7× 92 1.1k
Uday Kumar 403 1.1× 458 1.5× 221 0.8× 163 0.8× 111 0.5× 87 1.4k
Rodrigo Pascual 223 0.6× 211 0.7× 438 1.6× 127 0.6× 223 1.1× 71 1.4k
Michele Compare 384 1.0× 114 0.4× 491 1.7× 102 0.5× 336 1.6× 58 1.2k
Chaoqun Duan 315 0.8× 326 1.1× 310 1.1× 98 0.5× 139 0.7× 60 1.3k
Zhiguo Zeng 337 0.9× 115 0.4× 651 2.3× 130 0.6× 706 3.5× 61 1.4k
Fatih Camci 744 2.0× 341 1.2× 413 1.5× 142 0.7× 124 0.6× 58 1.5k
Hong-Bae Jun 274 0.7× 201 0.7× 186 0.7× 64 0.3× 109 0.5× 59 1.4k
Peter Muchiri 170 0.5× 167 0.6× 423 1.5× 76 0.4× 217 1.1× 42 1.4k
Giancarlo Giacchetta 135 0.4× 193 0.7× 155 0.5× 136 0.6× 186 0.9× 48 1.5k

Countries citing papers authored by V.N.A. Naikan

Since Specialization
Citations

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

Fields of papers citing papers by V.N.A. Naikan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.N.A. Naikan. 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 V.N.A. Naikan. The network helps show where V.N.A. Naikan may publish in the future.

Co-authorship network of co-authors of V.N.A. Naikan

This figure shows the co-authorship network connecting the top 25 collaborators of V.N.A. Naikan. A scholar is included among the top collaborators of V.N.A. Naikan 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 V.N.A. Naikan. V.N.A. Naikan 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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