V. M. Bastidas

72 total papers · 1.6k total citations
34 papers, 734 citations indexed

About

V. M. Bastidas is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, V. M. Bastidas has authored 34 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atomic and Molecular Physics, and Optics, 21 papers in Artificial Intelligence and 11 papers in Statistical and Nonlinear Physics. Recurrent topics in V. M. Bastidas's work include Quantum many-body systems (23 papers), Quantum Information and Cryptography (16 papers) and Quantum and electron transport phenomena (8 papers). V. M. Bastidas is often cited by papers focused on Quantum many-body systems (23 papers), Quantum Information and Cryptography (16 papers) and Quantum and electron transport phenomena (8 papers). V. M. Bastidas collaborates with scholars based in Japan, Germany and Singapore. V. M. Bastidas's co-authors include Tobias Brandes, Clive Emary, Dimitris G. Angelakis, Jirawat Tangpanitanon, Georg Engelhardt, Eckehard Schöll, Iryna Omelchenko, Anna Zakharova, William J. Munro and P. Pérez-Fernández and has published in prestigious journals such as Physical Review Letters, Physical Review B and Physical Review A.

In The Last Decade

V. M. Bastidas

30 papers receiving 728 citations

Author Peers

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

Author						Papers	Cites
V. M. Bastidas	654	276	215	91	84	34	734
I. Zapata	544 0.8×	84 0.3×	289 1.3×	115 1.3×	114 1.4×	23	719
L. Morales-Molina	528 0.8×	100 0.4×	416 1.9×	162 1.8×	34 0.4×	31	695
C. Degli Esposti Boschi	681 1.0×	268 1.0×	92 0.4×	25 0.3×	216 2.6×	38	882
Nicola Bartolo	700 1.1×	306 1.1×	164 0.8×	31 0.3×	48 0.6×	18	812
Ryo Hanai	491 0.8×	54 0.2×	191 0.9×	76 0.8×	278 3.3×	35	727
David Wilkowski	708 1.1×	151 0.5×	72 0.3×	15 0.2×	30 0.4×	62	801
S. Weiss	589 0.9×	116 0.4×	171 0.8×	50 0.5×	185 2.2×	22	694
Gonzalo Manzano	554 0.8×	410 1.5×	590 2.7×	76 0.8×	13 0.2×	26	752
Michael Buchhold	835 1.3×	324 1.2×	199 0.9×	15 0.2×	155 1.8×	34	907
Ignacio A. Martínez	309 0.5×	94 0.3×	567 2.6×	14 0.2×	76 0.9×	19	705

Countries citing papers authored by V. M. Bastidas

Since Specialization

Citations

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

Fields of papers citing papers by V. M. Bastidas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. M. Bastidas. 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 V. M. Bastidas. The network helps show where V. M. Bastidas may publish in the future.

Co-authorship network of co-authors of V. M. Bastidas

This figure shows the co-authorship network connecting the top 25 collaborators of V. M. Bastidas. A scholar is included among the top collaborators of V. M. Bastidas 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 V. M. Bastidas. V. M. Bastidas 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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