Elizabeth Behrman

113 total papers · 1.2k total citations
42 papers, 756 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 756 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, J. D. Jorgensen and F. J. Rotella 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 739 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Elizabeth Behrman	273	257	192	124	114	42	756
P.W. Haycock	169 0.6×	178 0.7×	219 1.1×	12 0.1×	356 3.1×	58	808
Pai Peng	213 0.8×	469 1.8×	234 1.2×	29 0.2×	256 2.2×	33	820
Qiuping Wang	51 0.2×	69 0.3×	354 1.8×	17 0.1×	242 2.1×	68	897
Elena V. Konstantinova	83 0.3×	96 0.4×	236 1.2×	47 0.4×	85 0.7×	51	700
Dipankar Sengupta	39 0.1×	169 0.7×	125 0.7×	60 0.5×	272 2.4×	84	679
Changbo Chen	118 0.4×	151 0.6×	264 1.4×	10 0.1×	66 0.6×	59	675
Takenobu Nakamura	20 0.1×	120 0.5×	169 0.9×	44 0.4×	81 0.7×	32	785
Ganesh Sivaraman	44 0.2×	63 0.2×	532 2.8×	15 0.1×	216 1.9×	45	768
Milica Todorović	38 0.1×	244 0.9×	416 2.2×	6 0.0×	210 1.8×	42	807
Zhen Wang	222 0.8×	342 1.3×	356 1.9×	22 0.2×	110 1.0×	62	777

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

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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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