Daniel G. Barci

105 total papers · 934 total citations
64 papers, 649 citations indexed

About

Daniel G. Barci is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Statistical and Nonlinear Physics. According to data from OpenAlex, Daniel G. Barci has authored 64 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Atomic and Molecular Physics, and Optics, 39 papers in Condensed Matter Physics and 20 papers in Statistical and Nonlinear Physics. Recurrent topics in Daniel G. Barci's work include Physics of Superconductivity and Magnetism (27 papers), Quantum and electron transport phenomena (20 papers) and Cold Atom Physics and Bose-Einstein Condensates (16 papers). Daniel G. Barci is often cited by papers focused on Physics of Superconductivity and Magnetism (27 papers), Quantum and electron transport phenomena (20 papers) and Cold Atom Physics and Bose-Einstein Condensates (16 papers). Daniel G. Barci collaborates with scholars based in Brazil, Argentina and United States. Daniel G. Barci's co-authors include L. E. Oxman, Daniel A. Stariolo, Eduardo Fradkin, Michael J. Lawler, C. D. Fosco, Steven A. Kivelson, Vadim Oganesyan, Leticia F. Cugliandolo, Camille Aron and G. Lozano and has published in prestigious journals such as Physical Review Letters, Physical review. B, Condensed matter and Physical Review B.

In The Last Decade

Daniel G. Barci

59 papers receiving 629 citations

Author Peers

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

Author						Papers	Cites
Daniel G. Barci	385	361	181	87	74	64	649
W. A. Moura-Melo	456 1.2×	490 1.4×	87 0.5×	67 0.8×	122 1.6×	54	704
G. Horwitz	321 0.8×	364 1.0×	264 1.5×	74 0.9×	73 1.0×	40	694
S. V. Peletminskiǐ	471 1.2×	133 0.4×	154 0.9×	45 0.5×	46 0.6×	61	632
K.V. Bhagwat	330 0.9×	327 0.9×	122 0.7×	37 0.4×	150 2.0×	55	666
Wang Kelin	427 1.1×	102 0.3×	237 1.3×	85 1.0×	103 1.4×	55	776
N. N. Bogolubov	594 1.5×	205 0.6×	133 0.7×	44 0.5×	48 0.6×	77	782
H. A. Gersch	536 1.4×	252 0.7×	102 0.6×	69 0.8×	84 1.1×	44	724
Ekrem Aydıner	262 0.7×	149 0.4×	193 1.1×	198 2.3×	41 0.6×	58	609
Hao Zheng	271 0.7×	304 0.8×	65 0.4×	78 0.9×	168 2.3×	65	754
P. M. Lam	244 0.6×	286 0.8×	95 0.5×	56 0.6×	35 0.5×	52	578

Countries citing papers authored by Daniel G. Barci

Since Specialization

Citations

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

Fields of papers citing papers by Daniel G. Barci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Barci. 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 Daniel G. Barci. The network helps show where Daniel G. Barci may publish in the future.

Co-authorship network of co-authors of Daniel G. Barci

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel G. Barci. A scholar is included among the top collaborators of Daniel G. Barci 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 Daniel G. Barci. Daniel G. Barci 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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