Ganesh Dhakal

67 total papers · 1.9k total citations
46 papers, 1.5k citations indexed

About

Ganesh Dhakal is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, Ganesh Dhakal has authored 46 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Electrical and Electronic Engineering, 25 papers in Electronic, Optical and Magnetic Materials and 9 papers in Materials Chemistry. Recurrent topics in Ganesh Dhakal's work include Supercapacitor Materials and Fabrication (25 papers), Advanced battery technologies research (17 papers) and Advancements in Battery Materials (15 papers). Ganesh Dhakal is often cited by papers focused on Supercapacitor Materials and Fabrication (25 papers), Advanced battery technologies research (17 papers) and Advancements in Battery Materials (15 papers). Ganesh Dhakal collaborates with scholars based in South Korea, India and United States. Ganesh Dhakal's co-authors include Jae‐Jin Shim, Debananda Mohapatra, Sumanta Sahoo, Deivasigamani Ranjith Kumar, Mostafa Saad Sayed, Yong Rok Lee, Saad G. Mohamed, Tetsuro Yoneda, Masaji Kato and Katsuhiko Kaneko and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Carbon.

In The Last Decade

Ganesh Dhakal

44 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Ganesh Dhakal	892	884	367	301	203	46	1.5k
Lunjian Chen	573 0.6×	442 0.5×	384 1.0×	355 1.2×	99 0.5×	56	1.4k
Youcai Liu	722 0.8×	328 0.4×	336 0.9×	205 0.7×	128 0.6×	55	1.5k
Jie Zhan	594 0.7×	483 0.5×	583 1.6×	165 0.5×	205 1.0×	63	1.4k
Dandan Han	576 0.6×	418 0.5×	398 1.1×	397 1.3×	45 0.2×	46	1.4k
Shanshan Li	690 0.8×	804 0.9×	280 0.8×	182 0.6×	286 1.4×	47	1.3k
Shaobin Yang	790 0.9×	535 0.6×	667 1.8×	206 0.7×	115 0.6×	93	1.4k
Xiaofan Ma	229 0.3×	488 0.6×	497 1.4×	256 0.9×	136 0.7×	56	1.3k
Xiaoyi Liang	548 0.6×	556 0.6×	682 1.9×	141 0.5×	152 0.7×	58	1.5k
Hongmin Wang	539 0.6×	243 0.3×	658 1.8×	293 1.0×	254 1.3×	72	1.7k
Yuan Zeng	382 0.4×	415 0.5×	527 1.4×	60 0.2×	165 0.8×	76	1.5k

Countries citing papers authored by Ganesh Dhakal

Since Specialization

Citations

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

Fields of papers citing papers by Ganesh Dhakal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh Dhakal

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