Daniel Campos

94 papers receiving 1.7k citations

Peers

Daniel Campos
Comparison fields: 5 of 140
  • Modeling and Simulation 258
  • Statistical and Nonlinear Physics 472
  • Mathematical Physics 186
  • Paleontology 116
  • Public Health, Environmental and Occupational Health 320
Replace Vicenç Méndez with:
Vicenç Méndez Spain
Joaquim Fort Spain
Emily J. Southall United Kingdom
Nicolas E. Humphries United Kingdom
Victoria J. Wearmouth United Kingdom
Thilo Groß Germany
Guillermo Abramson Argentina
Nuno Queiroz Portugal
Marcelo N. Kuperman Argentina
Oskar Hallatschek United States
Daniel Campos relative to Vicenç Méndez Spain Vicenç Méndez's profile →
Citations per field
00.5×1.5×
Vicenç Méndez · 1×
Citations per year

Countries citing papers authored by Daniel Campos

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013116
2 201671
3 200569
4 201668
5 201565
6 201965
7 201959
8 201350
9 201046
10 200444
11 201543
12 201342
13 201640
14 201340
15 201339
16 201931
17 201529
18 201228
19 201627
20 202127

About Daniel Campos

Daniel Campos is a scholar working on Molecular Biology, Statistical and Nonlinear Physics, Public Health, Environmental and Occupational Health, Mathematical Physics and Genetics, having authored 97 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diffusion and Search Dynamics (34 papers), Mathematical and Theoretical Epidemiology and Ecology Models (21 papers), Stochastic processes and statistical mechanics (19 papers), stochastic dynamics and bifurcation (16 papers), Evolution and Genetic Dynamics (15 papers), Advanced Thermodynamics and Statistical Mechanics (11 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Animal Behavior and Reproduction (9 papers). The work is most often cited by research in Modeling and Simulation (258 citations), Statistical and Nonlinear Physics (472 citations), Mathematical Physics (186 citations), Paleontology (116 citations) and Public Health, Environmental and Occupational Health (320 citations). Daniel Campos has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Vicenç Méndez, Frederic Bartumeus, Joaquim Fort, Werner Horsthemke, Sergei Fedotov, Isaac Llopis, Juan José Ibáñez, Lamya Khalidi, Jordi Catalán and José S. Andrade. Their work appears in journals such as Physical review. E, Journal of Theoretical Biology, Journal of The Royal Society Interface, Theoretical Population Biology and Bulletin of Mathematical Biology.

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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