Thomas Vidick

4.1k citations
100 papers · 2.1k · 1 hit paper · h-index 23

Impact in

Papers in

Thomas Vidick

92 papers receiving 2.0k citations

Thomas Vidick's Hit Papers

Fully Device-Independent Quantum Key Distribution 2014 · 340 citations
3400+4+8Years since publication100200300

Peers

Thomas Vidick
Comparison fields: 5 of 61
  • Artificial Intelligence 1.8k
  • Atomic and Molecular Physics, and Optics 1.3k
  • Computational Theory and Mathematics 468
  • Computational Mathematics 10
  • Statistical and Nonlinear Physics 97
Replace Markus Grassl with:
Markus Grassl Germany
Dorit Aharonov Israel
Zeph A. Landau United States
Jeongwan Haah United States
Martin Rötteler United States
Daniel Klaus Burgarth United Kingdom
David Gosset Canada
Zhengfeng Ji China
Samuel J. Lomonaco United States
Dave Bacon United States
Thomas Vidick relative to Markus Grassl Germany Markus Grassl's profile →
Citations per field
00.5×1.6×
Markus Grassl · 1×
Citations per year

Countries citing papers authored by Thomas Vidick

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Vidick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Vidick, 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 Thomas Vidick Line = papers co-authored together Thomas Vidick links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fully Device-Independent Quantum Key Distribution
Hit paper breakdown →
2014340
2 2018175
3 2008145
4 201597
5 201287
6 201979
7 201977
8 202173
9 201367
10 202360
11 201853
12 201245
13 201140
14 201237
15 200833
16 201632
17 201728
18 201827
19 201227
20 201326

About Thomas Vidick

Thomas Vidick is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics, Mathematical Physics and Algebra and Number Theory, having authored 100 papers that have together received 2.1k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (57 papers), Quantum Information and Cryptography (38 papers), Quantum Mechanics and Applications (37 papers), Cryptography and Data Security (22 papers), Complexity and Algorithms in Graphs (22 papers), Computability, Logic, AI Algorithms (21 papers), Quantum and electron transport phenomena (5 papers) and Advanced Operator Algebra Research (4 papers). The work is most often cited by research in Artificial Intelligence (1.8k citations), Atomic and Molecular Physics, and Optics (1.3k citations), Computational Theory and Mathematics (468 citations), Computational Mathematics (10 citations) and Statistical and Nonlinear Physics (97 citations). Thomas Vidick has collaborated with scholars based in United States, Singapore and Israel. Frequent co-authors include Umesh V. Vazirani, Renato Renner, Phong Q. Nguyễn, Rotem Arnon-Friedman, Anand Natarajan, Frédéric Dupuis, Omar Fawzi, Julia Kempe, Zeph A. Landau and Anindya De. Their work appears in journals such as SIAM Journal on Computing, Quantum, Quantum Information and Computation, Physical Review Letters and Computational Complexity.

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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