Ghanashyam Date

53 total papers · 856 total citations
30 papers, 551 citations indexed

About

Ghanashyam Date is a scholar working on Nuclear and High Energy Physics, Statistical and Nonlinear Physics and Astronomy and Astrophysics. According to data from OpenAlex, Ghanashyam Date has authored 30 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nuclear and High Energy Physics, 16 papers in Statistical and Nonlinear Physics and 14 papers in Astronomy and Astrophysics. Recurrent topics in Ghanashyam Date's work include Black Holes and Theoretical Physics (19 papers), Cosmology and Gravitation Theories (14 papers) and Noncommutative and Quantum Gravity Theories (13 papers). Ghanashyam Date is often cited by papers focused on Black Holes and Theoretical Physics (19 papers), Cosmology and Gravitation Theories (14 papers) and Noncommutative and Quantum Gravity Theories (13 papers). Ghanashyam Date collaborates with scholars based in India, United States and Germany. Ghanashyam Date's co-authors include Martin Bojowald, Golam Mortuza Hossain, Kevin Vandersloot, M. V. N. Murthy, Romesh K. Kaul, Sudhir R. Jain, Jacob Sonnenschein, Yitzhak Frishman, M. Pernici and Murat Günaydin and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Nuclear Physics B.

In The Last Decade

Ghanashyam Date

29 papers receiving 540 citations

Author Peers

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

Author Last Decade Papers Cites
Ghanashyam Date 444 418 358 83 34 30 551
Aldo Riello 396 0.9× 340 0.8× 261 0.7× 76 0.9× 38 1.1× 18 462
J. David Vergara 341 0.8× 357 0.9× 212 0.6× 159 1.9× 31 0.9× 59 468
Marco Fazzi 380 0.9× 163 0.4× 247 0.7× 60 0.7× 67 2.0× 21 471
Henrique Gomes 358 0.8× 306 0.7× 334 0.9× 91 1.1× 27 0.8× 30 452
Pradip Mukherjee 451 1.0× 376 0.9× 368 1.0× 97 1.2× 18 0.5× 41 514
Temple He 506 1.1× 202 0.5× 423 1.2× 84 1.0× 23 0.7× 30 546
R. Montemayor 307 0.7× 255 0.6× 268 0.7× 153 1.8× 7 0.2× 42 594
Shingo Takeuchi 443 1.0× 197 0.5× 270 0.8× 166 2.0× 21 0.6× 27 607
Prahar Mitra 530 1.2× 213 0.5× 447 1.2× 60 0.7× 21 0.6× 16 561
Keiji Kikkawa 418 0.9× 158 0.4× 234 0.7× 79 1.0× 52 1.5× 23 484

Countries citing papers authored by Ghanashyam Date

Since Specialization
Citations

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

Fields of papers citing papers by Ghanashyam Date

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghanashyam Date

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