Sanjit Shashi

37 total papers · 585 total citations
15 papers, 384 citations indexed

About

Sanjit Shashi is a scholar working on Astronomy and Astrophysics, Nuclear and High Energy Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Sanjit Shashi has authored 15 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Astronomy and Astrophysics, 12 papers in Nuclear and High Energy Physics and 10 papers in Statistical and Nonlinear Physics. Recurrent topics in Sanjit Shashi's work include Cosmology and Gravitation Theories (12 papers), Black Holes and Theoretical Physics (12 papers) and Noncommutative and Quantum Gravity Theories (10 papers). Sanjit Shashi is often cited by papers focused on Cosmology and Gravitation Theories (12 papers), Black Holes and Theoretical Physics (12 papers) and Noncommutative and Quantum Gravity Theories (10 papers). Sanjit Shashi collaborates with scholars based in United States, India and China. Sanjit Shashi's co-authors include Andreas Karch, Marcos Riojas, Hao Geng, Lisa Randall, Carlos Perez-Pardavila, Suvrat Raju, Elena Cáceres, Ayan Patra, Arnab Kundu and Josiah Couch and has published in prestigious journals such as Physical Review Letters, Journal of High Energy Physics and Physical review. B..

In The Last Decade

Sanjit Shashi

15 papers receiving 379 citations

Hit Papers

Inconsistency of islands ... 2022 2026 2023 2024 2022 40 80 120

Author Peers

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

Author Last Decade Papers Cites
Sanjit Shashi 344 331 183 67 14 15 384
Ali Naseh 353 1.0× 317 1.0× 199 1.1× 53 0.8× 15 1.1× 23 380
Phuc Nguyen 309 0.9× 298 0.9× 183 1.0× 72 1.1× 21 1.5× 12 370
Amin Faraji Astaneh 354 1.0× 320 1.0× 209 1.1× 69 1.0× 12 0.9× 23 377
Tomonori Ugajin 360 1.0× 311 0.9× 185 1.0× 143 2.1× 15 1.1× 17 410
Ziqi Yan 370 1.1× 284 0.9× 158 0.9× 27 0.4× 19 1.4× 20 398
Charles M. Melby–Thompson 361 1.0× 353 1.1× 215 1.2× 41 0.6× 9 0.6× 9 405
Chris Akers 341 1.0× 285 0.9× 199 1.1× 104 1.6× 23 1.6× 17 388
Vyacheslav Lysov 415 1.2× 368 1.1× 141 0.8× 55 0.8× 5 0.4× 11 440
Phillip Szepietowski 313 0.9× 250 0.8× 100 0.5× 36 0.5× 18 1.3× 19 348
Chengxin Yang 241 0.7× 204 0.6× 121 0.7× 62 0.9× 8 0.6× 8 344

Countries citing papers authored by Sanjit Shashi

Since Specialization
Citations

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

Fields of papers citing papers by Sanjit Shashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjit Shashi

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