Pinaki Mukherjee

56 total papers · 853 total citations
39 papers, 694 citations indexed

About

Pinaki Mukherjee is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Pinaki Mukherjee has authored 39 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 13 papers in Materials Chemistry and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Pinaki Mukherjee's work include Magnetic properties of thin films (13 papers), Advancements in Battery Materials (8 papers) and Magnetic Properties of Alloys (7 papers). Pinaki Mukherjee is often cited by papers focused on Magnetic properties of thin films (13 papers), Advancements in Battery Materials (8 papers) and Magnetic Properties of Alloys (7 papers). Pinaki Mukherjee collaborates with scholars based in United States, United Kingdom and China. Pinaki Mukherjee's co-authors include Nicholas V. Faenza, Glenn G. Amatucci, Nathalie Pereira, D. J. Sellmyer, Jeffrey E. Shield, Louis F. J. Piper, Bhaskar Das, Frederic Cosandey, Priyanka Manchanda and Balamurugan Balasubramanian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nano Letters and ACS Nano.

In The Last Decade

Pinaki Mukherjee

38 papers receiving 679 citations

Author Peers

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

Author Last Decade Papers Cites
Pinaki Mukherjee 320 205 196 167 137 39 694
Altaf Karim 370 1.2× 436 2.1× 116 0.6× 133 0.8× 99 0.7× 25 732
Nils Blanc 278 0.9× 295 1.4× 107 0.5× 137 0.8× 61 0.4× 51 629
Frederic Cosandey 463 1.4× 237 1.2× 135 0.7× 38 0.2× 139 1.0× 22 667
Zhou Tang 359 1.1× 185 0.9× 191 1.0× 89 0.5× 62 0.5× 37 573
Neelima Paul 451 1.4× 137 0.7× 103 0.5× 183 1.1× 273 2.0× 39 701
Chin-Lung Kuo 286 0.9× 322 1.6× 70 0.4× 84 0.5× 34 0.2× 31 598
Wooyoung Yoon 403 1.3× 204 1.0× 78 0.4× 77 0.5× 149 1.1× 45 672
Osvalds Verners 220 0.7× 277 1.4× 85 0.4× 77 0.5× 70 0.5× 32 672
Hongchao Sheng 141 0.4× 236 1.2× 93 0.5× 65 0.4× 72 0.5× 56 597
Takao Morimura 284 0.9× 360 1.8× 99 0.5× 119 0.7× 98 0.7× 74 674

Countries citing papers authored by Pinaki Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Pinaki Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pinaki Mukherjee

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