Hans J. Briegel

27.0k total citations · 13 hit papers
190 papers, 17.9k citations indexed

About

Hans J. Briegel is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Hans J. Briegel has authored 190 papers receiving a total of 17.9k indexed citations (citations by other indexed papers that have themselves been cited), including 114 papers in Artificial Intelligence, 92 papers in Atomic and Molecular Physics, and Optics and 42 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Hans J. Briegel's work include Quantum Information and Cryptography (95 papers), Quantum Computing Algorithms and Architecture (89 papers) and Quantum Mechanics and Applications (55 papers). Hans J. Briegel is often cited by papers focused on Quantum Information and Cryptography (95 papers), Quantum Computing Algorithms and Architecture (89 papers) and Quantum Mechanics and Applications (55 papers). Hans J. Briegel collaborates with scholars based in Austria, Germany and Switzerland. Hans J. Briegel's co-authors include Robert Raussendorf, Wolfgang Dür, Vedran Dunjko, Dan E. Browne, M. Hein, Jens Eisert, J. I. Cirac, P. Zoller, Susanne E. Timmermann and M. Van den Nest and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Hans J. Briegel

185 papers receiving 17.2k citations

Hit Papers

A One-Way Quantum Computer 1990 2026 2002 2014 2001 2001 2003 2009 2004 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hans J. Briegel Austria 60 12.8k 11.6k 2.0k 1.5k 922 190 17.9k
Christoph Adami United States 42 1.8k 0.1× 1.2k 0.1× 398 0.2× 56 0.0× 132 0.1× 150 7.2k
Gavin E. Crooks United States 31 611 0.0× 2.2k 0.2× 263 0.1× 291 0.2× 145 0.2× 54 15.4k
Dmitri Maslov United States 49 3.5k 0.3× 966 0.1× 1.2k 0.6× 1.3k 0.9× 925 1.0× 139 7.4k
Stanislas Leibler United States 63 394 0.0× 1.6k 0.1× 418 0.2× 73 0.1× 306 0.3× 118 23.9k
Yuri A. Kuznetsov Russia 47 320 0.0× 780 0.1× 3.3k 1.7× 49 0.0× 1.0k 1.1× 254 14.4k
Roderick V. Jensen United States 42 956 0.1× 1.4k 0.1× 49 0.0× 74 0.1× 503 0.5× 120 8.1k
Frank C. Hoppensteadt United States 38 645 0.1× 310 0.0× 439 0.2× 43 0.0× 876 1.0× 121 6.3k
Bonnie Berger United States 63 1.3k 0.1× 136 0.0× 403 0.2× 124 0.1× 174 0.2× 268 14.9k
Howard C. Berg United States 82 133 0.0× 2.2k 0.2× 329 0.2× 228 0.2× 482 0.5× 209 27.5k
M. J. Collett New Zealand 42 3.6k 0.3× 5.6k 0.5× 18 0.0× 160 0.1× 998 1.1× 114 7.9k

Countries citing papers authored by Hans J. Briegel

Since Specialization
Citations

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

Fields of papers citing papers by Hans J. Briegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans J. Briegel. 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 Hans J. Briegel. The network helps show where Hans J. Briegel may publish in the future.

Co-authorship network of co-authors of Hans J. Briegel

This figure shows the co-authorship network connecting the top 25 collaborators of Hans J. Briegel. A scholar is included among the top collaborators of Hans J. Briegel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hans J. Briegel. Hans J. Briegel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jerbi, Sofiène, et al.. (2024). Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning. Quantum. 8. 1343–1343. 5 indexed citations
2.
Muñoz-Gil, Gorka, et al.. (2023). Optimal foraging strategies can be learned. New Journal of Physics. 26(1). 13010–13010. 4 indexed citations
3.
Hamann, Arne, Vedran Dunjko, Nicolai Friis, et al.. (2021). Experimental quantum speed-up in reinforcement learning agents. Nature. 591(7849). 229–233. 111 indexed citations
4.
Dunjko, Vedran & Hans J. Briegel. (2018). Machine learning & artificial intelligence in the quantum domain: a review of recent progress. Reports on Progress in Physics. 81(7). 74001–74001. 593 indexed citations breakdown →
5.
Taylor, Jacob M., Hans J. Briegel, & Vedran Dunjko. (2016). Enhanced learning for agents in quantum-accessible environments.. The European Symposium on Artificial Neural Networks. 1 indexed citations
6.
Zwerger, Michael, Hans J. Briegel, & Wolfgang Dür. (2014). Hybrid architecture for encoded measurement-based quantum computation. Scientific Reports. 4(1). 5364–5364. 34 indexed citations
7.
Mohseni, Masoud, Masoud Mohseni, Tony Leggett, et al.. (2014). Quantum Effects in Biology. Cambridge University Press eBooks. 150 indexed citations
8.
Briegel, Hans J.. (2014). In Memoriam: EMILE VAN HANDEL. Journal of Vector Ecology. 39(2). 234–237.
9.
Lanyon, B. P., Petar Jurcevic, Michael Zwerger, et al.. (2013). Measurement-Based Quantum Computation with Trapped Ions. Physical Review Letters. 111(21). 210501–210501. 78 indexed citations
10.
Guerreschi, Gian Giacomo, Jianming Cai, & Hans J. Briegel. (2011). Quantum Control and Entanglement in a Chemical Compass. Bulletin of the American Physical Society. 2011. 5 indexed citations
11.
Nest, M. Van den, Wolfgang Dür, & Hans J. Briegel. (2008). Completeness of the Classical 2D Ising Model and Universal Quantum Computation. Physical Review Letters. 100(11). 110501–110501. 40 indexed citations
12.
Cai, Jianming, Sandu Popescu, & Hans J. Briegel. (2008). Dynamic entanglement in oscillating molecules. arXiv (Cornell University). 2 indexed citations
13.
Anders, Simon & Hans J. Briegel. (2006). Fast simulation of stabilizer circuits using a graph-state representation. Physical Review A. 73(2). 89 indexed citations
14.
Hein, M., Jens Eisert, & Hans J. Briegel. (2004). Multiparty entanglement in graph states. Physical Review A. 69(6). 653 indexed citations breakdown →
15.
Raussendorf, Robert, Dan E. Browne, & Hans J. Briegel. (2003). Measurement-based quantum computation on cluster states. Physical Review A. 68(2). 1036 indexed citations breakdown →
16.
Raussendorf, Robert & Hans J. Briegel. (2001). A One-Way Quantum Computer. Physical Review Letters. 86(22). 5188–5191. 2919 indexed citations breakdown →
17.
Briegel, Hans J., et al.. (1997). Chymotrypsin inhibitors in mosquitoes: Activity profile during development and after blood feeding. Archives of Insect Biochemistry and Physiology. 36(4). 315–333. 5 indexed citations
18.
Timmermann, Susanne E. & Hans J. Briegel. (1993). Water depth and larval density affect development and accumulation of reserves in laboratory populations of mosquitoes. 18(2). 174–187. 61 indexed citations
19.
Briegel, Hans J., Arden O. Lea, & Marc J. Klowden. (1979). Hemoglobinometry as a Method for Measuring Blood Meal Sizes of Mosquitoes (Diptera: Culicidae)1. Journal of Medical Entomology. 15(3). 235–238. 64 indexed citations
20.
Briegel, Hans J.. (1969). Studies on the amino acid and protein metabolism during the autogenous and anautogenous maturation of the eggs of C. pipiens.. Journal of Insect Physiology. 15(7). 1 indexed citations

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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