J. Flores

3.1k citations
61 papers · 2.3k indexed · 1 hit paper · h-index 16
Topics
Random Matrices and Applications (9 papers)Seismic Waves and Analysis (9 papers)Quantum chaos and dynamical systems (8 papers)
Journals
NaturePhysical Review LettersSHILAP Revista de lepidopterología

In The Last Decade

J. Flores

59 papers receiving 2.2k citations

Hit Papers

Random-matrix physics: spectrum and strength fluctuations1981202619962011198150010001.5k

Peers

J. Flores
Comparison fields: 5 of 97
  • Statistical and Nonlinear Physics 1.5k
  • Atomic and Molecular Physics, and Optics 1.2k
  • Nuclear and High Energy Physics 412
  • Spectroscopy 351
  • Condensed Matter Physics 285
Replace L. E. Reichl with:
L. E. Reichl United States
Marko Robnik Slovenia
Jayanta K. Bhattacharjee India
E. W. Montroll United States
F. Κ. Diakonos Greece
Joseph Ford United States
J H Hannay United Kingdom
Roger Balian France
Axel Müller–Groeling Germany
A. Zabrodin Russia
J. Flores relative to L. E. Reichl United States L. E. Reichl's profile →
Citations per field
00.5×2.7×
L. E. Reichl · 1×
Citations per year

Countries citing papers authored by J. Flores

Since Specialization
Citations

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

Fields of papers citing papers by J. Flores

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Flores

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 3
4 8
5 15
6 40
7 10
8 5
9 46
10 2
11 1
12 2
13 25
14 26
15 12
16 11
17 9
18
Random-matrix physics: spectrum and strength fluctuationsbreakdown →
1583
19
Electronic spectrum fluctuations in small particles
1
20
Recent developments in random-matrix theory
1

About J. Flores

J. Flores is a scholar working on Statistical and Nonlinear Physics, Acoustics and Ultrasonics and Statistics and Probability, having authored 61 papers that have together received 2.3k indexed citations. Recurring topics across this work include Random Matrices and Applications (9 papers), Seismic Waves and Analysis (9 papers) and Quantum chaos and dynamical systems (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Atomic and Molecular Physics, and Optics (1.2k citations) and Nuclear and High Energy Physics (412 citations). J. Flores has collaborated with scholars based in Mexico, United States and Argentina. Frequent co-authors include Pier A. Mello, Thomas A. Brody, S.S.M. Wong, J.B. French, Aditya Pandey, O. Bohigas, L. Gutiérrez, R. A. Méndez-Sánchez, T. H. Seligman and O. Novaro. Their work appears in journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.

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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