Stephen Wiesner

7.5k citations
8 papers · 4.8k indexed · 2 hit papers · h-index 7

Stephen Wiesner

8 papers receiving 4.5k citations

Hit Papers

Communication via one- and two-particle operators on Eins...3.8k198320261997201110002.0k3.0k

Peers

Stephen Wiesner
Comparison fields: 5 of 66
  • Artificial Intelligence 4.5k
  • Atomic and Molecular Physics, and Optics 4.2k
  • Statistical and Nonlinear Physics 171
  • Acoustics and Ultrasonics 12
  • Computational Theory and Mathematics 175
Replace N. Zagury with:
N. Zagury Brazil
Debbie Leung United States
Daniel Nigg Austria
Tal Mor Israel
Benjamin Schumacher United States
Dagmar Bruß Germany
Raúl García−Patrón Belgium
Lucién Hardy United Kingdom
Markus Müller Germany
Daniel Cavalcanti Spain
Stephen Wiesner relative to N. Zagury Brazil N. Zagury's profile →
Citations per field
00.5×
N. Zagury · 1×
Citations per year

Countries citing papers authored by Stephen Wiesner

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Wiesner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 13 scholars most cited alongside Stephen Wiesner, 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 Stephen Wiesner Line = papers co-authored together Stephen Wiesner links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 199977
2 199674
3
Communication via one- and two-particle operators on Einstein-Podolsky-Rosen statesbreakdown →
19923790
4 19882
5
Conjugate codingbreakdown →
1983745
6 197625
7 197621
8 197443

About Stephen Wiesner

Stephen Wiesner is a scholar working on Nuclear and High Energy Physics, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Spectroscopy and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 4.8k indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (3 papers), Quantum Information and Cryptography (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Particle physics theoretical and experimental studies (2 papers), Atomic and Subatomic Physics Research (1 paper), Handwritten Text Recognition Techniques (1 paper), DNA and Biological Computing (1 paper) and Neutrino Physics Research (1 paper). The work is most often cited by research in Artificial Intelligence (4.5k citations), Atomic and Molecular Physics, and Optics (4.2k citations), Statistical and Nonlinear Physics (171 citations), Acoustics and Ultrasonics (12 citations) and Computational Theory and Mathematics (175 citations). Stephen Wiesner has collaborated with scholars based in United States and Israel. Frequent co-authors include Charles H. Bennett, Lev Vaidman, M. Schwartz, T. W. Donnelly, D. G. Hitlin, John Dirk Walecka, R. Piccioni, Allison Hall, B. Budick and J. Kirkby. Their work appears in journals such as Physical Review Letters, Physical Review A, Physics Letters B, ACM SIGOIS Bulletin and ACM SIGACT News.

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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