Shamik Das

22 total papers · 758 total citations
11 papers, 582 citations indexed

About

Shamik Das is a scholar working on Electrical and Electronic Engineering, Computational Theory and Mathematics and Biomedical Engineering. According to data from OpenAlex, Shamik Das has authored 11 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 6 papers in Computational Theory and Mathematics and 3 papers in Biomedical Engineering. Recurrent topics in Shamik Das's work include Quantum-Dot Cellular Automata (6 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and Nanowire Synthesis and Applications (3 papers). Shamik Das is often cited by papers focused on Quantum-Dot Cellular Automata (6 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and Nanowire Synthesis and Applications (3 papers). Shamik Das collaborates with scholars based in United States. Shamik Das's co-authors include James C. Ellenbogen, Hao Yan, James F. Klemic, Charles M. Lieber, SungWoo Nam, Hwan Sung Choe, Yongjie Hu, Jun Yao, M. Henry and Garrett S. Rose and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Applied Physics Letters.

In The Last Decade

Shamik Das

11 papers receiving 568 citations

Hit Papers

Programmable nanowire cir... 2011 2026 2016 2021 2011 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Shamik Das 393 303 207 119 52 11 582
W. M. Tong 347 0.9× 198 0.7× 121 0.6× 122 1.0× 38 0.7× 10 584
Saurabh Soni 467 1.2× 231 0.8× 182 0.9× 166 1.4× 29 0.6× 19 640
Chongwu Zhou 436 1.1× 277 0.9× 375 1.8× 77 0.6× 41 0.8× 11 659
Srivatsan Parthasarathy 508 1.3× 131 0.4× 193 0.9× 112 0.9× 18 0.3× 26 672
Brian D. Hunt 206 0.5× 183 0.6× 302 1.5× 186 1.6× 14 0.3× 21 524
Huiwen Shi 356 0.9× 241 0.8× 466 2.3× 75 0.6× 41 0.8× 15 670
Venkat Mattela 330 0.8× 247 0.8× 245 1.2× 44 0.4× 24 0.5× 26 504
Allen T. Bellew 479 1.2× 310 1.0× 136 0.7× 34 0.3× 94 1.8× 13 620
Pritpal S. Kanhaiya 346 0.9× 171 0.6× 360 1.7× 63 0.5× 17 0.3× 8 605
Michele Kotiuga 419 1.1× 110 0.4× 310 1.5× 203 1.7× 22 0.4× 16 636

Countries citing papers authored by Shamik Das

Since Specialization
Citations

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

Fields of papers citing papers by Shamik Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shamik Das

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