M. Löcher

651 citations
14 papers · 557 · h-index 10

Impact in

Papers in

M. Löcher

14 papers receiving 543 citations

Peers

M. Löcher
Comparison fields: 5 of 40
  • Statistical and Nonlinear Physics 514
  • Computer Networks and Communications 390
  • Statistics, Probability and Uncertainty 65
  • Cognitive Neuroscience 116
  • Global and Planetary Change 115
Replace José Gómez-Ordóñez with:
José Gómez-Ordóñez Spain
Steve Guillouzic Canada
Luchun Du China
Gabor Schmera United States
Xavier Godivier France
Linru Nie China
Gonzalo G. Izús Argentina
Stefano Boccaletti Italy
Christian Kurrer United States
A. V. Krichigin Russia
M. Löcher relative to José Gómez-Ordóñez Spain José Gómez-Ordóñez's profile →
Citations per field
00.5×2.8×
José Gómez-Ordóñez · 1×
Citations per year

Countries citing papers authored by M. Löcher

Since Specialization
Citations

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

Fields of papers citing papers by M. Löcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside M. Löcher, 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. Löcher Line = papers co-authored together M. Löcher links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1998107
2 1999104
3 199686
4 199881
5 200043
6 199836
7 199536
8 202021
9 200017
10 199713
11 19965
12 19965
13 19972
14 19971

About M. Löcher

M. Löcher is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Molecular Biology, Automotive Engineering and Atomic and Molecular Physics, and Optics, having authored 14 papers that have together received 557 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (12 papers), stochastic dynamics and bifurcation (7 papers), Chaos control and synchronization (6 papers), Quantum chaos and dynamical systems (6 papers), Diffusion and Search Dynamics (3 papers), Advanced Thermodynamics and Statistical Mechanics (1 paper), Electric Vehicles and Infrastructure (1 paper) and Transportation and Mobility Innovations (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (514 citations), Computer Networks and Communications (390 citations), Statistics, Probability and Uncertainty (65 citations), Cognitive Neuroscience (116 citations) and Global and Planetary Change (115 citations). M. Löcher has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include E. Raymond Hunt, Gregg A. Johnson, Adi R. Bulsara, William L. Ditto, Mario E. Inchiosa, L. Gammaitoni, John F. Lindner, Peter Hänggi, Kurt Wiesenfeld and Joseph Neff. Their work appears in journals such as Physical Review Letters, Chaos An Interdisciplinary Journal of Nonlinear Science, Environmental Research Letters, Chaos Solitons & Fractals and Physica D Nonlinear Phenomena.

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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