T. Saha-Dasgupta

48 total papers · 831 total citations
33 papers, 570 citations indexed

About

T. Saha-Dasgupta is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Materials Chemistry. According to data from OpenAlex, T. Saha-Dasgupta has authored 33 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Condensed Matter Physics, 25 papers in Electronic, Optical and Magnetic Materials and 10 papers in Materials Chemistry. Recurrent topics in T. Saha-Dasgupta's work include Advanced Condensed Matter Physics (22 papers), Magnetic and transport properties of perovskites and related materials (18 papers) and Physics of Superconductivity and Magnetism (9 papers). T. Saha-Dasgupta is often cited by papers focused on Advanced Condensed Matter Physics (22 papers), Magnetic and transport properties of perovskites and related materials (18 papers) and Physics of Superconductivity and Magnetism (9 papers). T. Saha-Dasgupta collaborates with scholars based in India, Germany and United States. T. Saha-Dasgupta's co-authors include Soumyajit Sarkar, Abhijit Mookerjee, Biplab Sanyal, Shreemoyee Ganguly, Mukul Kabir, Soumendu Datta, Roser Valentí, Sudipta Kanungo, S. Satpathy and Hakim Meskine and has published in prestigious journals such as Physical Review Letters, Nature Communications and Physical review. B, Condensed matter.

In The Last Decade

T. Saha-Dasgupta

33 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
T. Saha-Dasgupta 338 308 238 157 61 33 570
Lin Song 419 1.2× 181 0.6× 291 1.2× 104 0.7× 114 1.9× 42 613
F. J. Darnell 430 1.3× 279 0.9× 198 0.8× 281 1.8× 85 1.4× 20 696
S. Ogawa 249 0.7× 314 1.0× 159 0.7× 275 1.8× 85 1.4× 45 684
Klaus‐Peter Bohnen 181 0.5× 301 1.0× 250 1.1× 257 1.6× 87 1.4× 27 595
Nataša Stojić 294 0.9× 293 1.0× 351 1.5× 174 1.1× 90 1.5× 35 626
Andreas Bill 274 0.8× 396 1.3× 211 0.9× 168 1.1× 67 1.1× 38 665
A. Jayaraman 190 0.6× 180 0.6× 265 1.1× 89 0.6× 86 1.4× 35 534
W.-H. Li 202 0.6× 268 0.9× 239 1.0× 170 1.1× 79 1.3× 32 558
Marcus Ekholm 218 0.6× 139 0.5× 374 1.6× 168 1.1× 40 0.7× 26 673
E. Navas 198 0.6× 327 1.1× 141 0.6× 405 2.6× 56 0.9× 20 631

Countries citing papers authored by T. Saha-Dasgupta

Since Specialization
Citations

This map shows the geographic impact of T. Saha-Dasgupta'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 T. Saha-Dasgupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Saha-Dasgupta more than expected).

Fields of papers citing papers by T. Saha-Dasgupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. Saha-Dasgupta. 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 T. Saha-Dasgupta. The network helps show where T. Saha-Dasgupta may publish in the future.

Co-authorship network of co-authors of T. Saha-Dasgupta

This figure shows the co-authorship network connecting the top 25 collaborators of T. Saha-Dasgupta. A scholar is included among the top collaborators of T. Saha-Dasgupta 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 T. Saha-Dasgupta. T. Saha-Dasgupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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