G. Prabaharan

13 total papers · 653 total citations
10 papers, 556 citations indexed

About

G. Prabaharan is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering. According to data from OpenAlex, G. Prabaharan has authored 10 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Mechanical Engineering, 6 papers in Electrical and Electronic Engineering and 5 papers in Industrial and Manufacturing Engineering. Recurrent topics in G. Prabaharan's work include Extraction and Separation Processes (5 papers), Recycling and Waste Management Techniques (5 papers) and Advancements in Battery Materials (3 papers). G. Prabaharan is often cited by papers focused on Extraction and Separation Processes (5 papers), Recycling and Waste Management Techniques (5 papers) and Advancements in Battery Materials (3 papers). G. Prabaharan collaborates with scholars based in India and South Korea. G. Prabaharan's co-authors include S.P. Barik, Lakshya Kumar, Brajesh Kumar, Naresh Kumar, B. Venkata Manoj Kumar, Sheela Berchmans, V. Yegnaraman, Amrit Kumar Mishra and T. Joseph Sahaya Anand and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Journal of Colloid and Interface Science.

In The Last Decade

G. Prabaharan

10 papers receiving 549 citations

Author Peers

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

Author						Papers	Cites
G. Prabaharan	475	411	410	75	49	10	556
S.J. Keny	449 0.9×	378 0.9×	379 0.9×	71 0.9×	35 0.7×	15	544
Ling Cao	492 1.0×	483 1.2×	391 1.0×	91 1.2×	40 0.8×	12	654
Yasaman Boroumand	382 0.8×	300 0.7×	207 0.5×	229 3.1×	26 0.5×	15	569
Antti Porvali	606 1.3×	376 0.9×	418 1.0×	123 1.6×	81 1.7×	19	663
Heesuk Ku	450 0.9×	401 1.0×	332 0.8×	49 0.7×	101 2.1×	8	527
Dong-Hyo Yang	551 1.2×	413 1.0×	425 1.0×	133 1.8×	76 1.6×	16	624
Maria Sofia Palagonia	422 0.9×	502 1.2×	114 0.3×	198 2.6×	96 2.0×	8	651
Xiaodong Zhang	476 1.0×	457 1.1×	377 0.9×	55 0.7×	64 1.3×	11	540
Kamyab Amouzegar	428 0.9×	403 1.0×	288 0.7×	87 1.2×	202 4.1×	14	631
Jorge D. Gamarra	388 0.8×	432 1.1×	242 0.6×	52 0.7×	157 3.2×	9	619

Countries citing papers authored by G. Prabaharan

Since Specialization

Citations

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

Fields of papers citing papers by G. Prabaharan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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