Elizabeth Behrman

1.2k total citations
42 papers, 757 citations indexed

About

Elizabeth Behrman is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Elizabeth Behrman has authored 42 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 19 papers in Atomic and Molecular Physics, and Optics and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Elizabeth Behrman's work include Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (15 papers) and Neural Networks and Reservoir Computing (10 papers). Elizabeth Behrman is often cited by papers focused on Quantum Computing Algorithms and Architecture (19 papers), Quantum Information and Cryptography (15 papers) and Neural Networks and Reservoir Computing (10 papers). Elizabeth Behrman collaborates with scholars based in United States. Elizabeth Behrman's co-authors include Chengde Huang, James E. Steck, Peter G. Wolynes, S.R. Skinner, G. A. Jongeward, Nam H. Nguyen, Melvin E. Zandler, Mohamed A. Moustafa, Edward J. Behrman and J. D. Jorgensen and has published in prestigious journals such as The Journal of Chemical Physics, Physical review. B, Condensed matter and Physical Review A.

In The Last Decade

Elizabeth Behrman

39 papers receiving 740 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth Behrman United States 14 274 257 192 124 114 42 757
Dipankar Sengupta India 14 39 0.1× 169 0.7× 125 0.7× 60 0.5× 273 2.4× 84 682
Deborah S. Franzblau United States 8 24 0.1× 59 0.2× 285 1.5× 92 0.7× 75 0.7× 16 486
Hiroshi Akiba Japan 15 20 0.1× 77 0.3× 181 0.9× 19 0.2× 93 0.8× 52 608
Annette Obika United Kingdom 2 27 0.1× 130 0.5× 320 1.7× 42 0.3× 41 0.4× 3 474
Minh Phạm United States 9 36 0.1× 62 0.2× 226 1.2× 63 0.5× 46 0.4× 26 563
Zongyan Cao China 6 73 0.3× 141 0.5× 526 2.7× 20 0.2× 381 3.3× 9 922
Gino Brunner Switzerland 16 79 0.3× 27 0.1× 203 1.1× 19 0.2× 22 0.2× 32 638
R. Serneels Belgium 11 71 0.3× 105 0.4× 138 0.7× 16 0.1× 84 0.7× 34 462
Dan Gordon Australia 14 140 0.5× 218 0.8× 216 1.1× 5 0.0× 203 1.8× 32 823
Rachana Gupta India 11 52 0.2× 174 0.7× 257 1.3× 5 0.0× 102 0.9× 32 538

Countries citing papers authored by Elizabeth Behrman

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth Behrman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Behrman

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Behrman. A scholar is included among the top collaborators of Elizabeth Behrman 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 Elizabeth Behrman. Elizabeth Behrman 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.
Bhattacharyya, Siddhartha, Mario Köppen, Elizabeth Behrman, & Ivan Cruz‐Aceves. (2022). Hybrid Quantum Metaheuristics. 2 indexed citations
2.
Steck, James E. & Elizabeth Behrman. (2017). Biologically motivated quantum neural networks. Holmes Museum Of Anthropology (Wichita State University). 1 indexed citations
3.
Nguyen, Nam Hoai, Elizabeth Behrman, & James E. Steck. (2016). Robustness of quantum neural calculation increases with system size. arXiv (Cornell University). 3 indexed citations
4.
Behrman, Elizabeth, et al.. (2013). On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 25(9). 1696–1703. 10 indexed citations
5.
Behrman, Elizabeth & James E. Steck. (2011). Dynamic learning of pairwise and three-way entanglement. 81. 99–104. 3 indexed citations
6.
Skinner, S.R., et al.. (2005). Quantum gates using a pulsed bias scheme (9 pages). Physical Review A. 72(4). 42311. 1 indexed citations
7.
Skinner, Steven R., et al.. (2005). Quantum gates using a pulsed bias scheme. Holmes Museum Of Anthropology (Wichita State University). 2 indexed citations
8.
Behrman, Elizabeth, et al.. (2003). Advantages of quantum recurrent networks: an examination of stable states. it3l. 2732–2737. 1 indexed citations
9.
Skinner, S.R., et al.. (2003). Optical hardware backpropagation neural network. 4. 2351–2356. 3 indexed citations
10.
Behrman, Elizabeth, et al.. (2002). A Quantum Neural Network Computes Entanglement. APS March Meeting Abstracts. 2003. 18 indexed citations
11.
Behrman, Elizabeth, et al.. (2002). On the mechanism of the Elbs peroxydisulfate oxidation and a new peroxide rearrangement. Tetrahedron Letters. 43(17). 3221–3224. 13 indexed citations
12.
Behrman, Elizabeth, et al.. (2002). Physical realizations of a temporal quantum neural computer. 2. 1571–1576. 1 indexed citations
13.
Kim, Kyung Bo, Elizabeth Behrman, Elizabeth Behrman, et al.. (2000). On the conformation of UDP-Glc, a sugar nucleotide †. Journal of the Chemical Society Perkin Transactions 2. 677–682. 2 indexed citations
14.
Skinner, S.R., et al.. (2000). Reinforcement and backpropagation training for an optical neural network using self-lensing effects. IEEE Transactions on Neural Networks. 11(6). 1450–1457. 16 indexed citations
15.
Behrman, Elizabeth, et al.. (2000). Simulations of quantum neural networks. Information Sciences. 128(3-4). 257–269. 77 indexed citations
16.
Zandler, Melvin E., et al.. (1996). Semiempirical molecular orbital calculation of geometric, electronic, and vibrational structures of metal oxide, metal sulfide, and other inorganic fullerene spheroids. Journal of Molecular Structure THEOCHEM. 362(2). 215–224. 21 indexed citations
17.
Skinner, Steven R., et al.. (1995). Neural network implementation using self-lensing media. Applied Optics. 34(20). 4129–4129. 13 indexed citations
18.
Steck, James E., et al.. (1994). A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks. Neural Information Processing Systems. 7. 771–778. 1 indexed citations
19.
LaGraff, John R., et al.. (1989). Magnetic and structural properties ofYBa2Cu3O7−xFyas prepared by a NF3gas anneal. Physical review. B, Condensed matter. 39(1). 347–355. 45 indexed citations
20.
Behrman, Elizabeth, G. A. Jongeward, & Peter G. Wolynes. (1983). A Monte Carlo approach for the real time dynamics of tunneling systems in condensed phases. The Journal of Chemical Physics. 79(12). 6277–6281. 76 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Dipankar Sengupta Breakdown of academic impact, for papers by Deborah S. Franzblau Breakdown of academic impact, for papers by Hiroshi Akiba Breakdown of academic impact, for papers by Annette Obika Breakdown of academic impact, for papers by Minh Phạm Breakdown of academic impact, for papers by Zongyan Cao Breakdown of academic impact, for papers by Gino Brunner Breakdown of academic impact, for papers by R. Serneels Breakdown of academic impact, for papers by Dan Gordon Breakdown of academic impact, for papers by Rachana Gupta
Rankless by CCL
2026