Marco Thiel

2.0k citations
41 papers · 1.3k · h-index 21

Impact in

Papers in

Marco Thiel

41 papers receiving 1.3k citations

Peers

Marco Thiel
Comparison fields: 5 of 140
  • Statistical and Nonlinear Physics 440
  • Cognitive Neuroscience 332
  • Computer Networks and Communications 312
  • Economics and Econometrics 296
  • Signal Processing 100
Replace G. Ambika with:
G. Ambika India
Juan Carlos Nuño Spain
H.A. Larrondo Argentina
Jacques Bélair Canada
Elbert E. N. Macau Brazil
Conrad J. Pérez-Vicente Spain
Édgar Roldán Italy
Emily Stone United States
Huijie Yang China
Guillermo J. Ortega Spain
Marco Thiel relative to G. Ambika India G. Ambika's profile →
Citations per field
00.5×2.5×
G. Ambika · 1×
Citations per year

Countries citing papers authored by Marco Thiel

Since Specialization
Citations

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

Fields of papers citing papers by Marco Thiel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002189
2 2004113
3 2007101
4 2004101
5 201057
6 201056
7 201554
8 200952
9 201141
10 200641
11 201139
12 200938
13 201536
14 201232
15 200929
16 200628
17
Lectures in Supercomputational Neuroscience: Dynamics in Complex Brain Networks
200727
18 200922
19 201221
20 200721

About Marco Thiel

Marco Thiel is a scholar working on Statistical and Nonlinear Physics, Molecular Biology, Cognitive Neuroscience, Computer Networks and Communications and Economics and Econometrics, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chaos control and synchronization (11 papers), Nonlinear Dynamics and Pattern Formation (9 papers), Neural dynamics and brain function (9 papers), Complex Systems and Time Series Analysis (7 papers), Diffusion and Search Dynamics (4 papers), Time Series Analysis and Forecasting (4 papers), Gene Regulatory Network Analysis (4 papers) and Mental Health Research Topics (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (440 citations), Cognitive Neuroscience (332 citations), Computer Networks and Communications (312 citations), Economics and Econometrics (296 citations) and Signal Processing (100 citations). Marco Thiel has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include M. Carmen Romano, Jürgen Kurths, Celso Grebogi, E. Allaria, R. Meucci, F. T. Arecchi, Chris A. Brackley, Björn Schelter, Werner von Bloh and Jens Timmer. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Physical Review Letters, PLoS ONE, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences and Nonlinear Dynamics.

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