Diego Pazó

1.7k citations
51 papers · 1.2k · h-index 20

Impact in

Papers in

Diego Pazó

50 papers receiving 1.2k citations

Peers

Diego Pazó
Comparison fields: 5 of 61
  • Statistical and Nonlinear Physics 633
  • Computer Networks and Communications 896
  • Cognitive Neuroscience 371
  • Condensed Matter Physics 94
  • Global and Planetary Change 155
Replace Michael A. Zaks with:
Michael A. Zaks Germany
Harald Engel Germany
Denis S. Goldobin Russia
Paul So United States
Matthias Wolfrum Germany
Oleh E. Omel’chenko Germany
John F. Lindner United States
D.L. Valladares Argentina
Yoji Kawamura Japan
M. Giudici France
Diego Pazó relative to Michael A. Zaks Germany Michael A. Zaks's profile →
Citations per field
00.5×1.5×2.0×
Michael A. Zaks · 1×
Citations per year

Countries citing papers authored by Diego Pazó

Since Specialization
Citations

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

Fields of papers citing papers by Diego Pazó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005154
2 200472
3 201962
4 200958
5 200657
6 200851
7 201648
8 200446
9 201144
10 200643
11 202039
12 200732
13 200331
14 201829
15 201827
16 200727
17 200624
18 200122
19 201719
20 201119

About Diego Pazó

Diego Pazó is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Global and Planetary Change, Condensed Matter Physics and Cognitive Neuroscience, having authored 51 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (41 papers), Chaos control and synchronization (16 papers), Quantum chaos and dynamical systems (13 papers), stochastic dynamics and bifurcation (11 papers), Slime Mold and Myxomycetes Research (8 papers), Theoretical and Computational Physics (8 papers), Neural dynamics and brain function (8 papers) and Ecosystem dynamics and resilience (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (633 citations), Computer Networks and Communications (896 citations), Cognitive Neuroscience (371 citations), Condensed Matter Physics (94 citations) and Global and Planetary Change (155 citations). Diego Pazó has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Ernest Montbrió, J.M. López, Miguel A. Rodríguez, V. I. Krinsky, Alain Pumir, Igor R. Efimov, Ivan G. Szendro, V. Pérez‐Muñuzuri, Jürgen Kurths and Manuel A. Matı́as. Their work appears in journals such as Physical review. E, Physical Review Letters, Chaos An Interdisciplinary Journal of Nonlinear Science, Tellus A Dynamic Meteorology and Oceanography and International Journal of Bifurcation and Chaos.

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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