Lev Guzmán-Vargas

876 citations
67 papers · 664 · h-index 14

Impact in

Papers in

Lev Guzmán-Vargas

63 papers receiving 647 citations

Peers

Lev Guzmán-Vargas
Comparison fields: 5 of 95
  • Statistical and Nonlinear Physics 254
  • Fluid Flow and Transfer Processes 84
  • Economics and Econometrics 218
  • Signal Processing 59
  • Geophysics 71
Replace Jesús González-Trejo with:
Jesús González-Trejo Mexico
Robert Bryce Canada
Malte Siefert Germany
Dejin Yu United Kingdom
Yuriy Polyakov United States
Zsolt Ugray United States
Neta Rabin Israel
A. A. Snarskiı̆ Ukraine
Qing Tang United States
Lev Guzmán-Vargas relative to Jesús González-Trejo Mexico Jesús González-Trejo's profile →
Citations per field
00.5×11.8×
Jesús González-Trejo · 1×
Citations per year

Countries citing papers authored by Lev Guzmán-Vargas

Since Specialization
Citations

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

Fields of papers citing papers by Lev Guzmán-Vargas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lev Guzmán-Vargas. 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 Lev Guzmán-Vargas. The network helps show where Lev Guzmán-Vargas may publish in the future.

Co-authors

The 25 scholars most cited alongside Lev Guzmán-Vargas, 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 Lev Guzmán-Vargas Line = papers co-authored together Lev Guzmán-Vargas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201046
2 200844
3 201340
4 200539
5 200338
6 201328
7 200527
8 201025
9 200423
10 201820
11 201516
12 201015
13 200314
14 201913
15 201813
16 200812
17 201112
18 200812
19 201412
20 200812

About Lev Guzmán-Vargas

Lev Guzmán-Vargas is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Molecular Biology, Computer Networks and Communications and Artificial Intelligence, having authored 67 papers that have together received 664 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (29 papers), Chaos control and synchronization (11 papers), Advanced Thermodynamics and Statistical Mechanics (10 papers), Complex Network Analysis Techniques (9 papers), Earthquake Detection and Analysis (8 papers), Opinion Dynamics and Social Influence (7 papers), Nonlinear Dynamics and Pattern Formation (7 papers) and Fractal and DNA sequence analysis (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (254 citations), Fluid Flow and Transfer Processes (84 citations), Economics and Econometrics (218 citations), Signal Processing (59 citations) and Geophysics (71 citations). Lev Guzmán-Vargas has collaborated with scholars based in Mexico, Spain and United States. Frequent co-authors include F. Angulo‐Brown, Alejandro Ramírez-Rojas, A. Medina, A. Calvo Hernández, Pedro Curto-Risso, Alejandro Muñoz-Diosdado, M. A. Barranco-Jiménez, Larry S. Liebovitch, Asok K. Sen and Moisés Santillán. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Chaos Solitons & Fractals, PLoS ONE, Natural hazards and earth system sciences 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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