Daniel Campos

91 papers receiving 1.8k citations

Peers

Daniel Campos
Comparison fields: 5 of 111
  • Modeling and Simulation 467
  • Statistical and Nonlinear Physics 389
  • Mathematical Physics 286
  • Paleontology 91
  • Molecular Biology 515
Replace Vsevolod Afanasyev with:
Vsevolod Afanasyev United Kingdom
Gabriel Ramos‐Fernández Mexico
Octavio Miramontes A Mexico
Joaquim Fort Spain
Nanako Shigesada Japan
Denis Boyer Mexico
José L. Mateos Mexico
Emily J. Southall United Kingdom
Thilo Groß Germany
Victoria J. Wearmouth United Kingdom
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Citations per field
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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 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013131
2 201694
3 201577
4 201677
5 201972
6 200569
7 201967
8 201050
9 201350
10 201645
11 200444
12 201344
13 201943
14 201542
15 201340
16 201339
17 201534
18 202132
19 200428
20 201228

About Daniel Campos

Daniel Campos is a scholar working on Modeling and Simulation, Mathematical Physics, Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics and Molecular Biology, having authored 92 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (31 papers), Diffusion and Search Dynamics (26 papers), Fractional Differential Equations Solutions (25 papers), Stochastic processes and statistical mechanics (19 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Archaeological and Geological Studies (5 papers), stochastic dynamics and bifurcation (5 papers) and Archaeology and ancient environmental studies (4 papers). The work is most often cited by research in Modeling and Simulation (467 citations), Statistical and Nonlinear Physics (389 citations), Mathematical Physics (286 citations), Paleontology (91 citations) and Molecular Biology (515 citations). Daniel Campos has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Vicenç Méndez, Frederic Bartumeus, Axel Masó-Puigdellosas, Joaquim Fort, Werner Horsthemke, Sergei P. Fedotov, Isaac Llopis, Lamya Khalidi, Juan José Ibáñez and José S. Andrade. Their work appears in journals such as Physical review. E, Journal of Theoretical Biology, Bulletin of Mathematical Biology, Journal of The Royal Society Interface and Scientific Reports.

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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