Ben Toner

1.6k citations
16 papers · 683 · h-index 13

Impact in

Papers in

Ben Toner

16 papers receiving 657 citations

Peers

Ben Toner
Comparison fields: 5 of 46
  • Artificial Intelligence 564
  • Atomic and Molecular Physics, and Optics 544
  • Computational Theory and Mathematics 143
  • History and Philosophy of Science 37
  • Statistical and Nonlinear Physics 86
Replace Alexander A. Klyachko with:
Alexander A. Klyachko Türkiye
Paweł Kurzyński Poland
Alexander Wilce United States
George Svetlichny Brazil
Rodrigo Gallego Spain
Guruprasad Kar India
Costantino Budroni Austria
S. Bugajski Poland
Juha-Pekka Pellonpää Finland
Andrzej Grudka Poland
Ben Toner relative to Alexander A. Klyachko Türkiye Alexander A. Klyachko's profile →
Citations per field
00.5×5.3×
Alexander A. Klyachko · 1×
Citations per year

Countries citing papers authored by Ben Toner

Since Specialization
Citations

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

Fields of papers citing papers by Ben Toner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Ben Toner, 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 Ben Toner Line = papers co-authored together Ben Toner links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2003171
2 2009129
3 2008111
4 200859
5 200335
6 201032
7 201124
8 200824
9 201121
10 200220
11 200919
12 200818
13
201313
14
On the Power of Entangled Provers: Immunizing games against entanglement
20074
15 20082
16 20071

About Ben Toner

Ben Toner is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Astronomy and Astrophysics, having authored 16 papers that have together received 683 indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (9 papers), Quantum Computing Algorithms and Architecture (9 papers), Complexity and Algorithms in Graphs (7 papers), Quantum Mechanics and Applications (7 papers), Quantum Information and Cryptography (4 papers), Cryptography and Data Security (3 papers), advanced mathematical theories (1 paper) and Game Theory and Applications (1 paper). The work is most often cited by research in Artificial Intelligence (564 citations), Atomic and Molecular Physics, and Optics (544 citations), Computational Theory and Mathematics (143 citations), History and Philosophy of Science (37 citations) and Statistical and Nonlinear Physics (86 citations). Ben Toner has collaborated with scholars based in Netherlands, United States and Israel. Frequent co-authors include Dave Bacon, Julia Kempe, Robert W. Spekkens, Geoff J. Pryde, Oded Regev, Andrew C. Doherty, Stephanie Wehner, Yeong-Cherng Liang, Keiji Matsumoto and Oded Regev. Their work appears in journals such as SIAM Journal on Computing, Physical Review Letters, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences, Communications in Mathematical Physics and arXiv (Cornell University).

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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