Jaime Cisternas

60 papers receiving 663 citations

Peers

Jaime Cisternas
Comparison fields: 5 of 98
  • Statistical and Nonlinear Physics 271
  • Computer Networks and Communications 292
  • Atomic and Molecular Physics, and Optics 246
  • Cognitive Neuroscience 106
  • Modeling and Simulation 23
Replace M. Bär with:
M. Bär Germany
James W. Swift United States
Hidetsugu Sakaguchi Japan
John Burke United States
А. П. Кузнецов Russia
Natalia Janson United Kingdom
Denis S. Goldobin Russia
Hil G. E. Meijer Netherlands
Orazio Descalzi Chile
Diego Pazó Spain
Jaime Cisternas relative to M. Bär Germany M. Bär's profile →
Citations per field
00.5×2.9×
M. Bär · 1×
Citations per year

Countries citing papers authored by Jaime Cisternas

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Cisternas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201892
2 200950
3 200447
4 201142
5 200335
6 200434
7 201233
8 201923
9 201919
10 200319
11 200618
12 201017
13 201316
14 201916
15 202115
16 200715
17 201114
18 201612
19 199510
20 20189

About Jaime Cisternas

Jaime Cisternas is a scholar working on Computer Networks and Communications, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Biomedical Engineering, having authored 64 papers that have together received 692 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (32 papers), Nonlinear Photonic Systems (13 papers), Advanced Fiber Laser Technologies (12 papers), Optical Wireless Communication Technologies (12 papers), Orbital Angular Momentum in Optics (9 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers), Theoretical and Computational Physics (8 papers) and stochastic dynamics and bifurcation (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (271 citations), Computer Networks and Communications (292 citations), Atomic and Molecular Physics, and Optics (246 citations), Cognitive Neuroscience (106 citations) and Modeling and Simulation (23 citations). Jaime Cisternas has collaborated with scholars based in Chile, Germany and United States. Frequent co-authors include Orazio Descalzi, Helmut R. Brand, Jaime A. Anguita, Daniel Escaff, Georgi S. Medvedev, Ioannis G. Kevrekidis, Carlos Cartes, Gonzalo Rojas, Marcelo Gálvez and Philip Holmes. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, International Journal of Bifurcation and Chaos, Chaos Solitons & Fractals, The Journal of Chemical Physics 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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