Sean T. Scully

39 total papers · 1.1k total citations
17 papers, 582 citations indexed

About

Sean T. Scully is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, Sean T. Scully has authored 17 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Nuclear and High Energy Physics, 12 papers in Astronomy and Astrophysics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in Sean T. Scully's work include Astrophysics and Cosmic Phenomena (12 papers), Radio Astronomy Observations and Technology (6 papers) and Noncommutative and Quantum Gravity Theories (5 papers). Sean T. Scully is often cited by papers focused on Astrophysics and Cosmic Phenomena (12 papers), Radio Astronomy Observations and Technology (6 papers) and Noncommutative and Quantum Gravity Theories (5 papers). Sean T. Scully collaborates with scholars based in United States, France and Canada. Sean T. Scully's co-authors include F. W. Stecker, Matthew A. Malkan, F. W. Stecker, R. Ramaty, Benzion Kozlovsky, R. E. Lingenfelter, David Mattingly, Keith A. Olive, Stefano Liberati and Michel Cassé and has published in prestigious journals such as The Astrophysical Journal, Astronomy and Astrophysics and Astroparticle Physics.

In The Last Decade

Sean T. Scully

17 papers receiving 570 citations

Author Peers

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

Author Last Decade Papers Cites
Sean T. Scully 506 388 147 12 9 17 582
Alejandro S. Jakubi 550 1.1× 655 1.7× 101 0.7× 9 0.8× 6 0.7× 20 669
J. F. Jesus 322 0.6× 487 1.3× 89 0.6× 19 1.6× 18 2.0× 29 511
Elisa G. M. Ferreira 364 0.7× 493 1.3× 47 0.3× 17 1.4× 28 3.1× 21 517
Ninfa Radicella 397 0.8× 492 1.3× 105 0.7× 19 1.6× 2 0.2× 25 502
Christophe Ringeval 473 0.9× 653 1.7× 53 0.4× 19 1.6× 3 0.3× 13 680
Edésio M. Barboza 335 0.7× 477 1.2× 127 0.9× 20 1.7× 6 0.7× 20 525
Georg Robbers 396 0.8× 523 1.3× 41 0.3× 9 0.8× 23 2.6× 14 542
K. Atazadeh 606 1.2× 658 1.7× 125 0.9× 30 2.5× 4 0.4× 34 685
Greg Huey 366 0.7× 523 1.3× 60 0.4× 10 0.8× 5 0.6× 14 538
Georges Obied 422 0.8× 509 1.3× 66 0.4× 7 0.6× 20 2.2× 12 532

Countries citing papers authored by Sean T. Scully

Since Specialization
Citations

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

Fields of papers citing papers by Sean T. Scully

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean T. Scully. 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 Sean T. Scully. The network helps show where Sean T. Scully may publish in the future.

Co-authorship network of co-authors of Sean T. Scully

This figure shows the co-authorship network connecting the top 25 collaborators of Sean T. Scully. A scholar is included among the top collaborators of Sean T. Scully 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 Sean T. Scully. Sean T. Scully 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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