Theo Geisel

13.3k citations
224 papers · 10.1k · 2 hit papers · h-index 46

Impact in

Papers in

Theo Geisel

214 papers receiving 9.8k citations

Theo Geisel's Hit Papers

The scaling laws of human travel 2006 · 1.7k citations
1.7k0+7+14Years since publication50010001.5k

Peers

Theo Geisel
Comparison fields: 5 of 166
  • Statistical and Nonlinear Physics 4.3k
  • Modeling and Simulation 965
  • Acoustics and Ultrasonics 142
  • Transportation 1.1k
  • Cognitive Neuroscience 2.6k
Replace Ying-Cheng Lai with:
Ying-Cheng Lai United States
Stefano Boccaletti Italy
Crispin W. Gardiner New Zealand
Michael F. Shlesinger United States
Mason Alexander Porter United States
Eshel Ben‐Jacob Israel
Gandhimohan Viswanathan Brazil
Ginestra Bianconi United Kingdom
Elliott W. Montroll United States
Igor M. Sokolov Germany
Theo Geisel relative to Ying-Cheng Lai United States Ying-Cheng Lai's profile →
Citations per field
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Ying-Cheng Lai · 1×
Citations per year

Countries citing papers authored by Theo Geisel

Since Specialization
Citations

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

Fields of papers citing papers by Theo Geisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 224 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The scaling laws of human travel
Hit paper breakdown →
20061686
2
Forecast and control of epidemics in a globalized world
Hit paper breakdown →
2004784
3 2007390
4 1985311
5 1995286
6 1992280
7 1984211
8 2017200
9 2012190
10 1982189
11 1992165
12 1991163
13 1987161
14 1998155
15 2005150
16 1997131
17 1986125
18 2012118
19 1984110
20 1996109

About Theo Geisel

Theo Geisel is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience, Condensed Matter Physics, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 224 papers that have together received 10.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (84 papers), Quantum chaos and dynamical systems (55 papers), Nonlinear Dynamics and Pattern Formation (43 papers), Visual perception and processing mechanisms (30 papers), stochastic dynamics and bifurcation (29 papers), Theoretical and Computational Physics (28 papers), Neural Networks and Applications (24 papers) and Chaos control and synchronization (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (4.3k citations), Modeling and Simulation (965 citations), Acoustics and Ultrasonics (142 citations), Transportation (1.1k citations) and Cognitive Neuroscience (2.6k citations). Theo Geisel has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Dirk Brockmann, Lars Hufnagel, Fred Alan Wolf, Roland Ketzmerick, J. Nierwetberg, Ragnar Fleischmann, J. Michael Herrmann, Klaus Richard Pawelzik, G. Petschel and Anna Levina. Their work appears in journals such as Physical Review Letters, Neurocomputing, Physical Review A, The European Physical Journal B and BMC 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.

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