Daniel Barragán

43 papers receiving 280 citations

Peers

Daniel Barragán
Comparison fields: 5 of 91
  • Statistical and Nonlinear Physics 78
  • Condensed Matter Physics 42
  • Computer Networks and Communications 68
  • Public Administration 9
  • Development 8
Replace Chris Liu with:
Chris Liu Canada
Guillaume Rousseau France
Jianwen Xiong China
Gregory A. McDermott United States
Michele Stasi Germany
Juan Luis López Spain
David Hathcock United States
Esteban Mocskos Argentina
Jose Hernández‐Muñoz Spain
Fabio Manca France
Daniel Barragán relative to Chris Liu Canada Chris Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Barragán

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Barragán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Daniel Barragán, 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 Barragán Line = papers co-authored together Daniel Barragán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201947
2 201729
3 200515
4 201815
5 200914
6 201814
7 201913
8 201311
9 201310
10 201710
11 20159
12 20219
13 20178
14 20188
15 19997
16 19997
17 20197
18 20047
19
Producción de entropía y ley de enfriamiento de Newton
20095
20 20235

About Daniel Barragán

Daniel Barragán is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Condensed Matter Physics and Physical and Theoretical Chemistry, having authored 48 papers that have together received 306 indexed citations. Recurring topics across this work include Advanced Thermodynamics and Statistical Mechanics (15 papers), Nonlinear Dynamics and Pattern Formation (13 papers), Micro and Nano Robotics (5 papers), thermodynamics and calorimetric analyses (5 papers), stochastic dynamics and bifurcation (4 papers), Spectroscopy and Quantum Chemical Studies (4 papers), Origins and Evolution of Life (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (78 citations), Condensed Matter Physics (42 citations), Computer Networks and Communications (68 citations), Public Administration (9 citations) and Development (8 citations). Daniel Barragán has collaborated with scholars based in Colombia, Spain and United States. Frequent co-authors include J. M. Rubı́, Susan Appe, Igal Berenstein, Signe Kjelstrup, Dick Bedeaux, Alberto P. Muñuzuri, Byung Chan Eu, Fernando Cortés‐Salazar, Oriol Arteaga and Marco F. Suárez. Their work appears in journals such as Physical Chemistry Chemical Physics, The Journal of Physical Chemistry B, The Journal of Physical Chemistry A, Journal of Thermal Analysis and Calorimetry and Foundations of Chemistry.

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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