Prabal Sapkota

23 total papers · 588 total citations
14 papers, 452 citations indexed

About

Prabal Sapkota is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Prabal Sapkota has authored 14 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Electrical and Electronic Engineering, 10 papers in Renewable Energy, Sustainability and the Environment and 3 papers in Materials Chemistry. Recurrent topics in Prabal Sapkota's work include Advanced battery technologies research (9 papers), Fuel Cells and Related Materials (9 papers) and Electrocatalysts for Energy Conversion (9 papers). Prabal Sapkota is often cited by papers focused on Advanced battery technologies research (9 papers), Fuel Cells and Related Materials (9 papers) and Electrocatalysts for Energy Conversion (9 papers). Prabal Sapkota collaborates with scholars based in Australia, South Korea and Nepal. Prabal Sapkota's co-authors include Honggon Kim, Kondo‐François Aguey‐Zinsou, Qiwen Lai, Muhammad Salman, Ting Wang, Cyrille Boyer, Rukmi Dutta, Claudio Cazorla, Sean Lim and Ting Wang and has published in prestigious journals such as International Journal of Hydrogen Energy, Journal of Alloys and Compounds and Journal of Industrial and Engineering Chemistry.

In The Last Decade

Prabal Sapkota

14 papers receiving 440 citations

Author Peers

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

Author Last Decade Papers Cites
Prabal Sapkota 339 214 109 107 65 14 452
Adeline Loh 344 1.0× 226 1.1× 89 0.8× 93 0.9× 55 0.8× 16 418
Jiage Yu 337 1.0× 193 0.9× 120 1.1× 114 1.1× 32 0.5× 26 449
Feiyang Chen 408 1.2× 266 1.2× 114 1.0× 30 0.3× 96 1.5× 14 512
Antonino Curcio 216 0.6× 133 0.6× 247 2.3× 66 0.6× 29 0.4× 11 428
Evangelos Kalamaras 266 0.8× 324 1.5× 159 1.5× 67 0.6× 26 0.4× 20 525
Su-Won Yun 317 0.9× 206 1.0× 171 1.6× 80 0.7× 22 0.3× 12 495
Dengke Wang 332 1.0× 257 1.2× 164 1.5× 133 1.2× 18 0.3× 16 492
Laila Grahl‐Madsen 251 0.7× 170 0.8× 211 1.9× 48 0.4× 28 0.4× 18 447
Jack P. Hughes 243 0.7× 232 1.1× 117 1.1× 33 0.3× 40 0.6× 10 406
Yanan Chen 377 1.1× 344 1.6× 106 1.0× 39 0.4× 37 0.6× 9 460

Countries citing papers authored by Prabal Sapkota

Since Specialization
Citations

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

Fields of papers citing papers by Prabal Sapkota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prabal Sapkota

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