Munehisa Sekikawa

45 papers receiving 447 citations

Peers

Munehisa Sekikawa
Comparison fields: 5 of 40
  • Statistical and Nonlinear Physics 366
  • Computer Networks and Communications 358
  • Atomic and Molecular Physics, and Optics 71
  • Electrical and Electronic Engineering 57
  • Cognitive Neuroscience 41
Replace Juan Hugo García-López with:
Juan Hugo García-López Mexico
Otti D’Huys Germany
Stefano Euzzor Italy
Holokx A. Albuquerque Brazil
B. Nana Cameroon
Binoy Krishna Goswami India
Christina Schenk Spain
Jonatán Peña Ramírez Mexico
Debabrata Biswas India
Munehisa Sekikawa relative to Juan Hugo García-López Mexico Juan Hugo García-López's profile →
Citations per field
00.5×3.6×
Juan Hugo García-López · 1×
Citations per year

Countries citing papers authored by Munehisa Sekikawa

Since Specialization
Citations

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

Fields of papers citing papers by Munehisa Sekikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Munehisa Sekikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Munehisa Sekikawa. A scholar is included among the top collaborators of Munehisa Sekikawa 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 Munehisa Sekikawa. Munehisa Sekikawa 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
#WorkIndexed citations
1 1
2 0
3 0
4 1
5 7
6 24
7 4
8 10
9
Four-dimensional tous and its Arnold resonance web
1
10 15
11
Observation of 2-torus Arnold tongue in laboratory measurements
1
12 3
13 47
14
Synchronization phenomena in square-wave oscillators with optical couplings
0
15 17
16
A Forced Chaos Generator with a Variable Active Inductor Circuit -- Influences of the External Forcing Input
1
17
A Forced Chaos Generator Using a Variable Active Inductor Circuit
1
18 12
19 4
20 16

About Munehisa Sekikawa

Munehisa Sekikawa is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Modeling and Simulation, having authored 51 papers that have together received 476 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (35 papers), Chaos control and synchronization (28 papers) and stochastic dynamics and bifurcation (18 papers). The work is most often cited by research in Statistical and Nonlinear Physics (366 citations), Computer Networks and Communications (358 citations) and Atomic and Molecular Physics, and Optics (71 citations). Munehisa Sekikawa has collaborated with scholars based in Japan, Australia and China. Frequent co-authors include Naohiko Inaba, Kazuyuki Aihara, Tetsuya Yoshinaga, Takashi Tsubouchi, Tetsuro Endo, Takashi Hikihara, Takashi Kohno, Takahiro Miyoshi, Tadashi Tsubone and Jing Li. Their work appears in journals such as Physics Letters A, Physica D Nonlinear Phenomena and Frontiers in Neuroscience.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026