Mayank K. Singh

48 total papers · 1.0k total citations
33 papers, 828 citations indexed

About

Mayank K. Singh is a scholar working on Electrical and Electronic Engineering, Molecular Biology and Polymers and Plastics. According to data from OpenAlex, Mayank K. Singh has authored 33 papers receiving a total of 828 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 8 papers in Molecular Biology and 8 papers in Polymers and Plastics. Recurrent topics in Mayank K. Singh's work include Supercapacitor Materials and Fabrication (8 papers), Electrocatalysts for Energy Conversion (8 papers) and Advanced battery technologies research (7 papers). Mayank K. Singh is often cited by papers focused on Supercapacitor Materials and Fabrication (8 papers), Electrocatalysts for Energy Conversion (8 papers) and Advanced battery technologies research (7 papers). Mayank K. Singh collaborates with scholars based in India, United States and Canada. Mayank K. Singh's co-authors include K. Dhirendra, Sarathkumar Krishnan, Anoop K. Gupta, Hitesh Kulhari, Deep Pooja, Ramakrishna Sistla, Milad Abolhasani, Axel Günther, Eugenia Kumacheva and Abhay Singh Chauhan and has published in prestigious journals such as Journal of Power Sources, Chemical Communications and Chemical Engineering Journal.

In The Last Decade

Mayank K. Singh

29 papers receiving 814 citations

Author Peers

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

Author Last Decade Papers Cites
Mayank K. Singh 255 235 226 167 153 33 828
Omer Sadak 268 1.1× 255 1.1× 239 1.1× 171 1.0× 251 1.6× 29 780
Yiting Zhao 207 0.8× 286 1.2× 214 0.9× 86 0.5× 327 2.1× 51 1.0k
Xue Wang 191 0.7× 212 0.9× 401 1.8× 151 0.9× 203 1.3× 66 954
Petr Jakubec 509 2.0× 402 1.7× 299 1.3× 131 0.8× 253 1.7× 41 1.1k
Duygu Ekinci 340 1.3× 291 1.2× 128 0.6× 165 1.0× 187 1.2× 47 962
Bozorgmehr Maddah 368 1.4× 179 0.8× 98 0.4× 126 0.8× 197 1.3× 54 973
Wenqi Song 247 1.0× 277 1.2× 115 0.5× 70 0.4× 218 1.4× 54 934
Xianyi Cao 296 1.2× 380 1.6× 168 0.7× 92 0.6× 156 1.0× 23 925
Viktória Hornok 213 0.8× 561 2.4× 193 0.9× 92 0.6× 215 1.4× 43 1.0k
Yunbo Lv 213 0.8× 291 1.2× 188 0.8× 73 0.4× 262 1.7× 24 956

Countries citing papers authored by Mayank K. Singh

Since Specialization
Citations

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

Fields of papers citing papers by Mayank K. Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayank K. Singh. 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 Mayank K. Singh. The network helps show where Mayank K. Singh may publish in the future.

Co-authorship network of co-authors of Mayank K. Singh

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank K. Singh. A scholar is included among the top collaborators of Mayank K. Singh 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 Mayank K. Singh. Mayank K. Singh 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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