Manuel Calixto

657 citations
55 papers · 376 · h-index 10

Impact in

Papers in

Manuel Calixto

50 papers receiving 371 citations

Peers

Manuel Calixto
Comparison fields: 5 of 35
  • Statistical and Nonlinear Physics 125
  • Atomic and Molecular Physics, and Optics 300
  • Artificial Intelligence 103
  • Nuclear and High Energy Physics 38
  • Condensed Matter Physics 26
Replace Fabiano M. Andrade with:
Fabiano M. Andrade Brazil
Alexander I. Nesterov Mexico
R. C. T. da Costa Brazil
David Aasen United States
Alicia J. Kollár United States
Ramis Movassagh United States
Guanyu Zhu United States
Moisés Rojas Brazil
Tankut Can United States
Gonzalo Ordóñez United States
Manuel Calixto relative to Fabiano M. Andrade Brazil Fabiano M. Andrade's profile →
Citations per field
00.5×4.3×
Fabiano M. Andrade · 1×
Citations per year

Countries citing papers authored by Manuel Calixto

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Calixto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Manuel Calixto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manuel Calixto Line = papers co-authored together Manuel Calixto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201543
2 201240
3 201429
4 201226
5 201224
6 201224
7 201513
8 202112
9 201411
10 201310
11 20129
12 20217
13 20067
14 20207
15 20177
16 20017
17 20196
18 20186
19 20175
20 20095

About Manuel Calixto

Manuel Calixto is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Nuclear and High Energy Physics, Artificial Intelligence and Materials Chemistry, having authored 55 papers that have together received 376 indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (13 papers), Quantum Information and Cryptography (12 papers), Topological Materials and Phenomena (11 papers), Noncommutative and Quantum Gravity Theories (10 papers), Quantum many-body systems (9 papers), Quantum Mechanics and Applications (8 papers), Quantum chaos and dynamical systems (7 papers) and Graphene research and applications (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (125 citations), Atomic and Molecular Physics, and Optics (300 citations), Artificial Intelligence (103 citations), Nuclear and High Energy Physics (38 citations) and Condensed Matter Physics (26 citations). Manuel Calixto has collaborated with scholars based in Spain, Mexico and Hungary. Frequent co-authors include E. Romera, Octavio Castaños, Julio Guerrero, V. Aldaya, F. Pérez‐Bernal, Á. Nagy, Nicolás A. Cordero, D. Maldonado, S. Nagy and J.B. Roldán. Their work appears in journals such as Physical Review A, Journal of Physics A Mathematical and Theoretical, Physical review. E, Physica A Statistical Mechanics and its Applications and Europhysics Letters (EPL).

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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