Enrique Peacock-López

1.0k citations
52 papers · 842 indexed · h-index 19

Enrique Peacock-López

51 papers receiving 820 citations

Peers

Enrique Peacock-López
Comparison fields: 5 of 85
  • Statistical and Nonlinear Physics 219
  • Computer Networks and Communications 234
  • Astronomy and Astrophysics 155
  • Modeling and Simulation 37
  • Public Health, Environmental and Occupational Health 192
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Ivanitskiĭ Gr Russia
E. Dulos France
А. Н. Заикин Russia
A.M. Zhabotinsky Russia
Gregory P. Harmer Australia
F. Schl�gl Germany
M. Herschkowitz‐Kaufman Belgium
Marcus J. B. Hauser Germany
Mária Burger Germany
Valery Petrov United States
Enrique Peacock-López relative to Ivanitskiĭ Gr Russia Ivanitskiĭ Gr's profile →
Citations per field
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Citations per year

Countries citing papers authored by Enrique Peacock-López

Since Specialization
Citations

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

Fields of papers citing papers by Enrique Peacock-López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Enrique Peacock-López. 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 Enrique Peacock-López. The network helps show where Enrique Peacock-López may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202310
2 20231
3 20221
4 20222
5 20201
6 20203
7 20201
8 201921
9 201962
10 201718
11 201715
12 20117
13 200726
14 200434
15 199810
16 19970
17 199612
18 19931
19 19922
20 198825

About Enrique Peacock-López

Enrique Peacock-López is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Astronomy and Astrophysics, having authored 52 papers that have together received 842 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (17 papers), Evolution and Genetic Dynamics (13 papers), Gene Regulatory Network Analysis (12 papers), Origins and Evolution of Life (11 papers), stochastic dynamics and bifurcation (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Spectroscopy and Quantum Chemical Studies (8 papers) and Advanced Thermodynamics and Statistical Mechanics (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (219 citations), Computer Networks and Communications (234 citations) and Astronomy and Astrophysics (155 citations). Enrique Peacock-López has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include H. Suhl, Katja Lindenberg, Gonen Ashkenasy, Nathaniel Wagner, Joel Keizer, Indrajit Maity, Bruce J. West, F. Javier de la Rubia, Rivka Cohen‐Luria and Dharm Dev. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and Nature Communications.

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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