M. Romera

2.7k citations
84 papers · 2.0k indexed · 1 hit paper · h-index 21

M. Romera

80 papers receiving 1.8k citations

Hit Papers

Vowel recognition with four coupled spin-torque nano-osci...3592018202620202023100200300

Peers

M. Romera
Comparison fields: 5 of 76
  • Statistical and Nonlinear Physics 925
  • Mathematical Physics 463
  • Computer Vision and Pattern Recognition 735
  • Computational Theory and Mathematics 350
  • Artificial Intelligence 465
Replace M. Komuro with:
M. Komuro Japan
S. Behnia Iran
K. Murali India
Takahisa Harayama Japan
Hans L. Cycon Germany
A. Tamaševičius Lithuania
Yoshiyuki Kabashima Japan
Sen Zhang China
Guilhem Semerjian France
D. J. Mar United States
M. Romera relative to M. Komuro Japan M. Komuro's profile →
Citations per field
00.5×4.2×
M. Komuro · 1×
Citations per year

Countries citing papers authored by M. Romera

Since Specialization
Citations

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

Fields of papers citing papers by M. Romera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20243
4 202313
5 202224
6
Vowel recognition with four coupled spin-torque nano-oscillatorsbreakdown →
2018359
7 20175
8 20131
9 20121
10 201112
11 200921
12
Estrategias de control de la sedación difícil
20089
13
Delirio en el paciente crítico
200811
14 20065
15
Can two chaotic systems make an order
20041
16 200370
17 2003145
18
Criptoanálisis de sistema criptográfico, basado en la sincronización de osciladores caóticos
20001
19 20007
20 19973

About M. Romera

M. Romera is a scholar working on Statistical and Nonlinear Physics, Mathematical Physics, Computational Theory and Mathematics, Computer Vision and Pattern Recognition and Geometry and Topology, having authored 84 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chaos control and synchronization (47 papers), Mathematical Dynamics and Fractals (36 papers), Quantum chaos and dynamical systems (20 papers), Chaos-based Image/Signal Encryption (17 papers), Cellular Automata and Applications (17 papers), Magnetic properties of thin films (13 papers), Nonlinear Dynamics and Pattern Formation (11 papers) and Advanced Differential Equations and Dynamical Systems (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (925 citations), Mathematical Physics (463 citations), Computer Vision and Pattern Recognition (735 citations), Computational Theory and Mathematics (350 citations) and Artificial Intelligence (465 citations). M. Romera has collaborated with scholars based in Spain, France and Romania. Frequent co-authors include G. Pastor, F. Montoya, Gonzalo Álvarez, Marius‐F. Danca, Julie Grollier, Vincent Cros, Sumito Tsunegi, Shinji Yuasa, Paolo Bortolotti and Hitoshi Kubota. Their work appears in journals such as Chaos Solitons & Fractals, Computers & Graphics, Physics Letters A, International Journal of Bifurcation and Chaos and Physica A Statistical Mechanics and its Applications.

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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