T. Prabaharan

49 total papers · 593 total citations
33 papers, 437 citations indexed

About

T. Prabaharan is a scholar working on Electrical and Electronic Engineering, Industrial and Manufacturing Engineering and Control and Systems Engineering. According to data from OpenAlex, T. Prabaharan has authored 33 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 11 papers in Industrial and Manufacturing Engineering and 10 papers in Control and Systems Engineering. Recurrent topics in T. Prabaharan's work include Scheduling and Optimization Algorithms (9 papers), Pulsed Power Technology Applications (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). T. Prabaharan is often cited by papers focused on Scheduling and Optimization Algorithms (9 papers), Pulsed Power Technology Applications (7 papers) and Advanced Manufacturing and Logistics Optimization (6 papers). T. Prabaharan collaborates with scholars based in India, United States and China. T. Prabaharan's co-authors include M.K. Marichelvam, Xin‐She Yang, Vinothkumar Sivalingam, Jafrey Daniel James D, A. Shyam, N. Jawahar, M. Saravanan, Geetha Mani, D. Ravindran and Surender Kumar Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Review of Scientific Instruments and Applied Soft Computing.

In The Last Decade

T. Prabaharan

28 papers receiving 399 citations

Author Peers

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

Author						Papers	Cites
T. Prabaharan	177	119	97	78	58	33	437
G. Fornarelli	177 1.0×	160 1.3×	69 0.7×	51 0.7×	33 0.6×	27	408
Tizian Schneider	84 0.5×	112 0.9×	98 1.0×	83 1.1×	109 1.9×	32	454
Baosu Guo	109 0.6×	86 0.7×	175 1.8×	45 0.6×	55 0.9×	45	402
Yang Zhang	54 0.3×	82 0.7×	62 0.6×	52 0.7×	38 0.7×	53	467
Qiang Liu	173 1.0×	157 1.3×	263 2.7×	23 0.3×	32 0.6×	39	486
Davide Caputo	107 0.6×	79 0.7×	50 0.5×	77 1.0×	15 0.3×	26	429
Jianhua Guo	52 0.3×	156 1.3×	50 0.5×	25 0.3×	74 1.3×	51	455
Di Zhou	143 0.8×	154 1.3×	45 0.5×	90 1.2×	18 0.3×	27	450
Jiaxing Cheng	124 0.7×	54 0.5×	116 1.2×	37 0.5×	17 0.3×	47	405
Xiaolin Dai	48 0.3×	54 0.5×	49 0.5×	71 0.9×	102 1.8×	34	380

Countries citing papers authored by T. Prabaharan

Since Specialization

Citations

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

Fields of papers citing papers by T. Prabaharan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Prabaharan

This figure shows the co-authorship network connecting the top 25 collaborators of T. Prabaharan. A scholar is included among the top collaborators of T. Prabaharan 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. Prabaharan. T. Prabaharan 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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