Jason Pollack

813 citations
27 papers · 459 indexed · h-index 10

Impact in

Papers in

Jason Pollack

26 papers receiving 448 citations

Peers

Jason Pollack
Comparison fields: 5 of 42
  • Nuclear and High Energy Physics 303
  • Astronomy and Astrophysics 315
  • Statistical and Nonlinear Physics 148
  • Computational Mathematics 7
  • Instrumentation 19
Replace Vinay Malvimat with:
Vinay Malvimat India
Marina Cortês Portugal
Sven Krippendorf Germany
Kotaro Tamaoka Japan
Lampros Lamprou United States
Pratik Rath United States
Stefano Ansoldi Italy
J. P. Zibin Canada
Gábor Sárosi United States
Ali Mollabashi Iran
Jason Pollack relative to Vinay Malvimat India Vinay Malvimat's profile →
Citations per field
00.5×10×13.5×
Vinay Malvimat · 1×
Citations per year

Countries citing papers authored by Jason Pollack

Since Specialization
Citations

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

Fields of papers citing papers by Jason Pollack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jason Pollack, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jason Pollack Line = papers co-authored together Jason Pollack links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015100
2 201473
3 202062
4 201551
5
Entropic uncertainty relations for quantum information scrambling
201927
6 201817
7 201817
8 201614
9 201512
10 201511
11 20209
12 20209
13 20228
14 20227
15 20176
16 20166
17 20195
18 20165
19 20214
20 20164

About Jason Pollack

Jason Pollack is a scholar working on Nuclear and High Energy Physics, Astronomy and Astrophysics, Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 27 papers that have together received 459 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (14 papers), Cosmology and Gravitation Theories (13 papers), Noncommutative and Quantum Gravity Theories (11 papers), Quantum many-body systems (7 papers), Quantum Computing Algorithms and Architecture (6 papers), Quantum Information and Cryptography (3 papers), Galaxies: Formation, Evolution, Phenomena (3 papers) and Quantum Mechanics and Applications (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (303 citations), Astronomy and Astrophysics (315 citations), Statistical and Nonlinear Physics (148 citations), Computational Mathematics (7 citations) and Instrumentation (19 citations). Jason Pollack has collaborated with scholars based in United States, Canada and Belgium. Frequent co-authors include Sean M. Carroll, David N. Spergel, Paul J. Steinhardt, Ning Bao, Grant N. Remmen, Stefan Leichenauer, David Wakeham, James Sully, Moshe Rozali and ChunJun Cao. Their work appears in journals such as Journal of High Energy Physics, Physical review. A, Physical review. D, Classical and Quantum Gravity and The Astrophysical Journal.

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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