Sampad Mukherjee

42 total papers · 1.2k total citations
34 papers, 955 citations indexed

About

Sampad Mukherjee is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Sampad Mukherjee has authored 34 papers receiving a total of 955 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Biomedical Engineering, 11 papers in Electrical and Electronic Engineering and 10 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Sampad Mukherjee's work include Advanced Sensor and Energy Harvesting Materials (10 papers), Conducting polymers and applications (5 papers) and Dielectric materials and actuators (5 papers). Sampad Mukherjee is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (10 papers), Conducting polymers and applications (5 papers) and Dielectric materials and actuators (5 papers). Sampad Mukherjee collaborates with scholars based in India, Russia and United States. Sampad Mukherjee's co-authors include Navonil Bose, Epsita Kar, Biplab Dutta, Nillohit Mukherjee, Sukhen Das, D. Das, Anirban Roychowdhury, Mousumi Basu, Pallab Datta and Gobinda Sen and has published in prestigious journals such as Journal of Applied Physics, ACS Applied Materials & Interfaces and Physical Review A.

In The Last Decade

Sampad Mukherjee

33 papers receiving 924 citations

Author Peers

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

Author						Papers	Cites
Sampad Mukherjee	642	362	272	225	190	34	955
Navonil Bose	718 1.1×	440 1.2×	255 0.9×	235 1.0×	222 1.2×	38	1.1k
Guh‐Hwan Lim	816 1.3×	571 1.6×	216 0.8×	286 1.3×	425 2.2×	26	1.2k
Van‐Tan Truong	642 1.0×	478 1.3×	198 0.7×	189 0.8×	251 1.3×	24	966
Christos Tsonos	532 0.8×	467 1.3×	219 0.8×	229 1.0×	198 1.0×	43	859
Yong Jun Park	631 1.0×	346 1.0×	337 1.2×	216 1.0×	343 1.8×	44	1.1k
Min Koo	561 0.9×	230 0.6×	265 1.0×	136 0.6×	286 1.5×	15	809
Han Li	607 0.9×	191 0.5×	375 1.4×	191 0.8×	436 2.3×	29	1.2k
Zhipeng Zheng	719 1.1×	367 1.0×	186 0.7×	397 1.8×	322 1.7×	23	1.1k
Xiaochen Xun	679 1.1×	443 1.2×	174 0.6×	215 1.0×	256 1.3×	28	980
Hongchun Luo	561 0.9×	386 1.1×	138 0.5×	289 1.3×	189 1.0×	29	954

Countries citing papers authored by Sampad Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Sampad Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sampad Mukherjee

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