Jennie Guzman

31 total papers · 1.3k total citations
11 papers, 993 citations indexed

About

Jennie Guzman is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Spectroscopy. According to data from OpenAlex, Jennie Guzman has authored 11 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 3 papers in Condensed Matter Physics and 3 papers in Spectroscopy. Recurrent topics in Jennie Guzman's work include Cold Atom Physics and Bose-Einstein Condensates (10 papers), Quantum, superfluid, helium dynamics (5 papers) and Atomic and Subatomic Physics Research (4 papers). Jennie Guzman is often cited by papers focused on Cold Atom Physics and Bose-Einstein Condensates (10 papers), Quantum, superfluid, helium dynamics (5 papers) and Atomic and Subatomic Physics Research (4 papers). Jennie Guzman collaborates with scholars based in United States, Poland and Germany. Jennie Guzman's co-authors include Dan Stamper-Kurn, Sabrina Leslie, Mukund Vengalattore, Claire Thomas, Gyu-Boong Jo, Ashvin Vishwanath, Pavan Hosur, James Higbie, Lorraine Sadler and Jay D. Sau and has published in prestigious journals such as Physical Review Letters, Physical Review A and eScholarship (California Digital Library).

In The Last Decade

Jennie Guzman

10 papers receiving 964 citations

Hit Papers

Ultracold Atoms in a Tuna... 2012 2026 2016 2021 2012 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Jennie Guzman 960 308 97 70 48 11 993
Nick Fläschner 916 1.0× 208 0.7× 153 1.6× 125 1.8× 95 2.0× 13 988
Lorraine Sadler 1.0k 1.1× 309 1.0× 148 1.5× 108 1.5× 23 0.5× 4 1.1k
Daniel Pertot 925 1.0× 371 1.2× 85 0.9× 48 0.7× 36 0.8× 16 972
William Cody Burton 1.1k 1.1× 248 0.8× 109 1.1× 53 0.8× 50 1.0× 9 1.1k
Malte Weinberg 1.1k 1.1× 252 0.8× 164 1.7× 74 1.1× 36 0.8× 8 1.1k
R. A. Williams 918 1.0× 179 0.6× 108 1.1× 40 0.6× 26 0.5× 24 963
David Rasch 970 1.0× 493 1.6× 79 0.8× 101 1.4× 46 1.0× 8 1.1k
Geoffrey Ji 901 0.9× 545 1.8× 136 1.4× 79 1.1× 53 1.1× 12 1.0k
Anton Mazurenko 1.1k 1.1× 577 1.9× 184 1.9× 96 1.4× 50 1.0× 9 1.2k
Christina V. Kraus 965 1.0× 357 1.2× 181 1.9× 77 1.1× 47 1.0× 18 1.0k

Countries citing papers authored by Jennie Guzman

Since Specialization
Citations

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

Fields of papers citing papers by Jennie Guzman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennie Guzman

This figure shows the co-authorship network connecting the top 25 collaborators of Jennie Guzman. A scholar is included among the top collaborators of Jennie Guzman 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 Jennie Guzman. Jennie Guzman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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