Sourav De

95 total papers · 965 total citations
59 papers, 483 citations indexed

About

Sourav De is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sourav De has authored 59 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sourav De's work include Ferroelectric and Negative Capacitance Devices (56 papers), Semiconductor materials and devices (49 papers) and Advanced Memory and Neural Computing (39 papers). Sourav De is often cited by papers focused on Ferroelectric and Negative Capacitance Devices (56 papers), Semiconductor materials and devices (49 papers) and Advanced Memory and Neural Computing (39 papers). Sourav De collaborates with scholars based in Germany, Taiwan and India. Sourav De's co-authors include Thomas Kämpfe, Darsen D. Lu, Maximilian Lederer, Yao‐Jen Lee, Yannick Raffel, Konrad Seidel, Franz Müller, Tarek Ali, Po-Jung Sung and Sven Beyer and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Sourav De

54 papers receiving 482 citations

Author Peers

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

Author Last Decade Papers Cites
Sourav De 464 88 21 12 11 59 483
Manh-Cuong Nguyen 333 0.7× 147 1.7× 25 1.2× 10 0.8× 4 0.4× 43 406
Xiaoyan Liu 371 0.8× 86 1.0× 11 0.5× 12 1.0× 13 1.2× 69 430
Yaqing Chi 404 0.9× 64 0.7× 8 0.4× 15 1.3× 5 0.5× 89 455
Chengji Jin 503 1.1× 233 2.6× 11 0.5× 7 0.6× 18 1.6× 52 532
Jong-Ho Lee 399 0.9× 154 1.8× 39 1.9× 29 2.4× 14 1.3× 32 463
Shilpi Birla 366 0.8× 29 0.3× 7 0.3× 5 0.4× 8 0.7× 61 417
E. E. King 378 0.8× 45 0.5× 20 1.0× 20 1.7× 2 0.2× 32 407
K. Shubhakar 399 0.9× 149 1.7× 26 1.2× 35 2.9× 5 0.5× 42 448
Ya Li 347 0.7× 266 3.0× 79 3.8× 7 0.6× 6 0.5× 29 434
F. Clermidy 360 0.8× 15 0.2× 10 0.5× 22 1.8× 10 0.9× 34 436

Countries citing papers authored by Sourav De

Since Specialization
Citations

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

Fields of papers citing papers by Sourav De

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sourav De

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