Michael Peil

822 citations
15 papers · 641 indexed · h-index 10

Impact in

Papers in

Michael Peil

15 papers receiving 613 citations

Peers

Michael Peil
Comparison fields: 5 of 38
  • Statistical and Nonlinear Physics 361
  • Computer Networks and Communications 428
  • Acoustics and Ultrasonics 6
  • Electrical and Electronic Engineering 259
  • Cognitive Neuroscience 83
Replace K. Scott Thornburg with:
K. Scott Thornburg United States
V. S. Udaltsov France
G. Huerta-Cuéllar Mexico
Otti D’Huys Germany
K.E. Chlouverakis Greece
M. C. Torrent Spain
J. Mulet Spain
Won-Ho Kye South Korea
Thomas Jüngling Australia
Juan Hugo García-López Mexico
Michael Peil relative to K. Scott Thornburg United States K. Scott Thornburg's profile →
Citations per field
00.5×3.5×
K. Scott Thornburg · 1×
Citations per year

Countries citing papers authored by Michael Peil

Since Specialization
Citations

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

Fields of papers citing papers by Michael Peil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 24 scholars most cited alongside Michael Peil, 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 Michael Peil Line = papers co-authored together Michael Peil links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2009112
2 200983
3 200737
4 2006238
5 200616
6 20067
7 200638
8 200627
9 20051
10 20049
11 200412
12 20031
13 20034
14 200255
15 20021

About Michael Peil

Michael Peil is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence and Atomic and Molecular Physics, and Optics, having authored 15 papers that have together received 641 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (11 papers), Semiconductor Lasers and Optical Devices (7 papers), Photonic and Optical Devices (6 papers), Chaos control and synchronization (5 papers), Optical Network Technologies (3 papers), Neural Networks and Reservoir Computing (3 papers), stochastic dynamics and bifurcation (2 papers) and Advanced Fiber Laser Technologies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (361 citations), Computer Networks and Communications (428 citations), Acoustics and Ultrasonics (6 citations), Electrical and Electronic Engineering (259 citations) and Cognitive Neuroscience (83 citations). Michael Peil has collaborated with scholars based in Germany, France and Belgium. Frequent co-authors include Ingo Fischer, Laurent Larger, Maxime Jacquot, Cláudio R. Mirasso, Raúl Vicente, Javier M. Buldú, Jordi García‐Ojalvo, M. C. Torrent, Wolfgang Elsäßer and Yanne K. Chembo. Their work appears in journals such as Physical Review Letters, Physical Review A, Applied Physics Letters, Comptes Rendus Physique and Physical Review E.

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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