Daniel Escaff

807 citations
42 papers · 695 · h-index 14

Impact in

Papers in

Daniel Escaff

42 papers receiving 694 citations

Peers

Daniel Escaff
Comparison fields: 5 of 46
  • Statistical and Nonlinear Physics 198
  • Computer Networks and Communications 295
  • Global and Planetary Change 163
  • Condensed Matter Physics 83
  • Public Health, Environmental and Occupational Health 102
Replace Malbor Asllani with:
Malbor Asllani Belgium
Cristián Fernández-Oto Chile
Luca Donetti Spain
Chiara Cammarota France
Roberto R. Deza Argentina
F. Javier de la Rubia Spain
Rajat Karnatak Germany
Eyal Bairey Israel
C. Baesens United Kingdom
Sona Prakash United States
Daniel Escaff relative to Malbor Asllani Belgium Malbor Asllani's profile →
Citations per field
00.5×2×4×6.9×
Malbor Asllani · 1×
Citations per year

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-authors

The 22 scholars most cited alongside Daniel Escaff, 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 Escaff Line = papers co-authored together Daniel Escaff links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200588
2 201462
3 201055
4 201554
5 200951
6 201345
7 201830
8 201924
9 201823
10 202020
11 201019
12 201418
13 201817
14 201416
15 200914
16 200912
17 202011
18 201210
19 201610
20 202010

About Daniel Escaff

Daniel Escaff is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics, Condensed Matter Physics, Global and Planetary Change and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 695 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (27 papers), stochastic dynamics and bifurcation (7 papers), Ecosystem dynamics and resilience (7 papers), Micro and Nano Robotics (6 papers), Nonlinear Waves and Solitons (4 papers), Mathematical and Theoretical Epidemiology and Ecology Models (4 papers), Nonlinear Photonic Systems (2 papers) and Distributed Control Multi-Agent Systems (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (198 citations), Computer Networks and Communications (295 citations), Global and Planetary Change (163 citations), Condensed Matter Physics (83 citations) and Public Health, Environmental and Occupational Health (102 citations). Daniel Escaff has collaborated with scholars based in Chile, United States and Belgium. Frequent co-authors include Marcel G. Clerc, Mustapha Tlidi, Cristián Fernández-Oto, V. M. Kenkre, Katja Lindenberg, Jaime E. Cisternas, Orazio Descalzi, Helmut R. Brand, Alexandre Rosas and Raúl Manuel Jiménez Toral. Their work appears in journals such as Physical review. E, Chaos An Interdisciplinary Journal of Nonlinear Science, International Journal of Bifurcation and Chaos, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Physical Review Letters.

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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