Daniel Escaff

740 total citations
37 papers, 594 citations indexed

About

Daniel Escaff is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Global and Planetary Change. According to data from OpenAlex, Daniel Escaff has authored 37 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Networks and Communications, 18 papers in Statistical and Nonlinear Physics and 14 papers in Global and Planetary Change. Recurrent topics in Daniel Escaff's work include Nonlinear Dynamics and Pattern Formation (28 papers), Ecosystem dynamics and resilience (14 papers) and Advanced Thermodynamics and Statistical Mechanics (10 papers). Daniel Escaff is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (28 papers), Ecosystem dynamics and resilience (14 papers) and Advanced Thermodynamics and Statistical Mechanics (10 papers). Daniel Escaff collaborates with scholars based in Chile, United States and Belgium. Daniel Escaff's co-authors include Marcel G. Clerc, C. Fernandez-Oto, V. M. Kenkre, Mustapha Tlidi, Jaime Cisternas, Orazio Descalzi, Katja Lindenberg, Helmut R. Brand, Alexandre Rosas and Raúl Toral and has published in prestigious journals such as Physical Review Letters, Scientific Reports and Physical Review A.

In The Last Decade

Daniel Escaff

36 papers receiving 582 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Escaff Chile 14 293 249 225 114 107 37 594
Jens D. M. Rademacher Germany 15 323 1.1× 224 0.9× 339 1.5× 32 0.3× 170 1.6× 33 803
Hannes Uecker Germany 16 341 1.2× 275 1.1× 101 0.4× 144 1.3× 30 0.3× 63 825
Giovanna Valenti Italy 16 90 0.3× 98 0.4× 176 0.8× 161 1.4× 62 0.6× 51 624
C. Fernandez-Oto Chile 10 134 0.5× 98 0.4× 171 0.8× 51 0.4× 96 0.9× 16 363
Tommaso Biancalani United States 12 170 0.6× 230 0.9× 83 0.4× 41 0.4× 14 0.1× 17 799
John Burke United States 14 878 3.0× 541 2.2× 198 0.9× 170 1.5× 17 0.2× 18 1.2k
Damià Gomila Spain 22 719 2.5× 735 3.0× 106 0.5× 987 8.7× 39 0.4× 85 1.5k
Francisco J. Cao Spain 18 122 0.4× 479 1.9× 62 0.3× 208 1.8× 21 0.2× 57 1.1k
Arkady B. Rovinsky Canada 13 544 1.9× 198 0.8× 75 0.3× 72 0.6× 13 0.1× 23 687
Martin Nilsson Jacobi Sweden 16 39 0.1× 47 0.2× 254 1.1× 48 0.4× 69 0.6× 41 813

Countries citing papers authored by Daniel Escaff

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Escaff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Escaff

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Escaff. A scholar is included among the top collaborators of Daniel Escaff based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Escaff. Daniel Escaff is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Escaff, Daniel. (2024). Self-organization of anti-aligning active particles: Waving pattern formation and chaos. Physical review. E. 110(2). 24603–24603. 3 indexed citations
3.
Clerc, Marcel G., et al.. (2020). On the repulsive interaction between localised vegetation patches in scarce environments. Scientific Reports. 10(1). 5740–5740. 7 indexed citations
4.
Rosas, Alexandre, et al.. (2020). Synchronization and fluctuations: Coupling a finite number of stochastic units. Physical review. E. 101(6). 62140–62140. 1 indexed citations
5.
Escaff, Daniel, Raúl Toral, Christian Van den Broeck, & Katja Lindenberg. (2018). A continuous-time persistent random walk model for flocking. Chaos An Interdisciplinary Journal of Nonlinear Science. 28(7). 75507–75507. 19 indexed citations
6.
Rosas, Alexandre, et al.. (2017). Arrays of two-state stochastic oscillators: Roles of tail and range of interactions. Physical review. E. 95(3). 32104–32104. 2 indexed citations
7.
Toral, Raúl, J. F. J. van den Brand, Daniel Escaff, & Katja Lindenberg. (2017). Stochastic thermodynamics for Ising chain and symmetric exclusion process. Physical review. E. 95(3). 32114–32114. 1 indexed citations
8.
Rosas, Alexandre, et al.. (2016). Globally coupled stochastic two-state oscillators: synchronization of infinite and finite arrays. Journal of Physics A Mathematical and Theoretical. 49(9). 95001–95001. 9 indexed citations
9.
Escaff, Daniel, C. Fernandez-Oto, Marcel G. Clerc, & Mustapha Tlidi. (2015). Localized vegetation patterns, fairy circles, and localized patches in arid landscapes. Physical Review E. 91(2). 22924–22924. 48 indexed citations
10.
Escaff, Daniel, et al.. (2014). Globally coupled stochastic two-state oscillators: Fluctuations due to finite numbers. Physical Review E. 89(5). 52143–52143. 15 indexed citations
11.
Escaff, Daniel, et al.. (2014). Arrays of stochastic oscillators: Nonlocal coupling, clustering, and wave formation. Physical Review E. 90(5). 52111–52111. 13 indexed citations
12.
Fernandez-Oto, C., Marcel G. Clerc, Daniel Escaff, & Mustapha Tlidi. (2013). Strong Nonlocal Coupling Stabilizes Localized Structures: An Analysis Based on Front Dynamics. Physical Review Letters. 110(17). 174101–174101. 40 indexed citations
13.
Escaff, Daniel, Upendra Harbola, & Katja Lindenberg. (2012). Synchronization of globally coupled two-state stochastic oscillators with a state-dependent refractory period. Physical Review E. 86(1). 11131–11131. 9 indexed citations
14.
Escaff, Daniel, et al.. (2012). Pattern formation via intermittence from microscopic deterministic dynamics. Physical Review E. 85(5). 56218–56218. 4 indexed citations
15.
Clerc, Marcel G., Daniel Escaff, & V. M. Kenkre. (2010). Analytical studies of fronts, colonies, and patterns: Combination of the Allee effect and nonlocal competition interactions. Physical Review E. 82(3). 36210–36210. 50 indexed citations
16.
Gutiérrez, Pablo, et al.. (2009). Moving breathing pulses in the one-dimensional complex cubic-quintic Ginzburg-Landau equation. Physical Review E. 80(3). 37202–37202. 12 indexed citations
17.
Descalzi, Orazio, Jaime Cisternas, Daniel Escaff, & Helmut R. Brand. (2009). Noise Induces Partial Annihilation of Colliding Dissipative Solitons. Physical Review Letters. 102(18). 188302–188302. 50 indexed citations
18.
Escaff, Daniel. (2009). SELF-REPLICATION AND LOCALIZED STRUCTURES INTERACTION IN A NONLOCAL MODEL OF POPULATION DYNAMICS. International Journal of Bifurcation and Chaos. 19(10). 3509–3517. 14 indexed citations
19.
Clerc, Marcel G., Daniel Escaff, & René S. Rojas. (2008). Transversal interface dynamics of a front connecting a stripe pattern to a uniform state. Europhysics Letters (EPL). 83(2). 28002–28002. 7 indexed citations
20.
Clerc, Marcel G., Daniel Escaff, & V. M. Kenkre. (2005). Patterns and localized structures in population dynamics. Physical Review E. 72(5). 56217–56217. 83 indexed citations

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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