Dan Kenigsberg

985 citations
10 papers · 712 · h-index 7

Impact in

    • Quantum Information and Cryptography
    • Quantum Computing Algorithms and Architecture
    • Neural Networks and Reservoir Computing
    • Quantum Mechanics and Applications
    • Quantum optics and atomic interactions
    • Quantum and electron transport phenomena
    • Quantum many-body systems

Papers in

Dan Kenigsberg

10 papers receiving 688 citations

Peers

Dan Kenigsberg
Comparison fields: 5 of 30
  • Artificial Intelligence 686
  • Atomic and Molecular Physics, and Optics 644
  • Computational Theory and Mathematics 23
  • Statistical and Nonlinear Physics 4
  • Hardware and Architecture 2
Replace Mirko Pittaluga with:
Mirko Pittaluga United Kingdom
Dongyang Long China
Song-Ya Ma China
Ernest Y.-Z. Tan Canada
Huawang Qin China
Zhaoxu Ji China
Chun‐Yan Wei China
Ming-Qiang Bai China
Matej Pivoluska Czechia
Feng-Yu Lu China
Dan Kenigsberg relative to Mirko Pittaluga United Kingdom Mirko Pittaluga's profile →
Citations per field
00.5×1.5×2.1×
Mirko Pittaluga · 1×
Citations per year

Countries citing papers authored by Dan Kenigsberg

Since Specialization
Citations

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

Fields of papers citing papers by Dan Kenigsberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Dan Kenigsberg, 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 Dan Kenigsberg Line = papers co-authored together Dan Kenigsberg links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2007287
2 2009225
3 200467
4 200751
5 200233
6 200926
7 200618
8 20053
9 20181
10
Grover's Quantum Search Algorithm and Mixed States
20011

About Dan Kenigsberg

Dan Kenigsberg is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Computational Theory and Mathematics, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 712 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (9 papers), Quantum Computing Algorithms and Architecture (9 papers), Quantum Mechanics and Applications (9 papers), Quantum and electron transport phenomena (1 paper), Quantum many-body systems (1 paper) and Computability, Logic, AI Algorithms (1 paper). The work is most often cited by research in Artificial Intelligence (686 citations), Atomic and Molecular Physics, and Optics (644 citations), Computational Theory and Mathematics (23 citations), Statistical and Nonlinear Physics (4 citations) and Hardware and Architecture (2 citations). Dan Kenigsberg has collaborated with scholars based in Israel, Canada and France. Frequent co-authors include Tal Mor, Michel Boyer, Ran Gelles, Eli Biham, Gilles Brassard, Amir Mor, Aharon Brodutch and Berry Groisman. Their work appears in journals such as Physical Review A, Physical Review Letters, Quantum Information and Computation, Theoretical Computer Science and International Journal of Quantum Information.

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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