Preben Alstrøm

52 papers receiving 1.1k citations

Peers

Preben Alstrøm
Comparison fields: 5 of 115
  • Condensed Matter Physics 277
  • Statistical and Nonlinear Physics 291
  • Mathematical Physics 118
  • Computer Networks and Communications 227
  • Oceanography 74
Replace Hans Jacob S. Feder with:
Hans Jacob S. Feder United States
Oreste Piro Spain
Sergio Rica Chile
Nicholas Tufillaro United States
György Károlyi Hungary
Karl Heinz Hoffmann Germany
Mario Markus Germany
Zeev Olami Israel
Miguel A. Rodríguez Spain
Pascal Chossat France
Preben Alstrøm relative to Hans Jacob S. Feder United States Hans Jacob S. Feder's profile →
Citations per field
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Hans Jacob S. Feder · 1×
Citations per year

Countries citing papers authored by Preben Alstrøm

Since Specialization
Citations

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

Fields of papers citing papers by Preben Alstrøm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Learning to Drive a Bicycle Using Reinforcement Learning and Shaping
1998203
2 200495
3 199286
4 199270
5 199366
6 198860
7 200056
8 199537
9 198835
10 200133
11 199529
12 199429
13 199526
14 199824
15 198424
16 199621
17 198819
18 199719
19 199919
20 198618

About Preben Alstrøm

Preben Alstrøm is a scholar working on Condensed Matter Physics, Statistical and Nonlinear Physics, Computer Networks and Communications, Materials Chemistry and Mathematical Physics, having authored 53 papers that have together received 1.1k indexed citations. Recurring topics across this work include Theoretical and Computational Physics (15 papers), Nonlinear Dynamics and Pattern Formation (10 papers), Chaos control and synchronization (7 papers), Complex Systems and Time Series Analysis (6 papers), Fluid Dynamics and Turbulent Flows (5 papers), Stochastic processes and statistical mechanics (4 papers), Quantum chaos and dynamical systems (4 papers) and Graphene research and applications (4 papers). The work is most often cited by research in Condensed Matter Physics (277 citations), Statistical and Nonlinear Physics (291 citations), Mathematical Physics (118 citations), Computer Networks and Communications (227 citations) and Oceanography (74 citations). Preben Alstrøm has collaborated with scholars based in Denmark, United States and Spain. Frequent co-authors include Mogens T. Levinsen, Tomas Bohr, Bo Christiansen, Greg Huber, Jun Zhang, Mogens H. Jensen, H. Eugene Stanley, E. Henry, Paolo Sibani and Rama Bansil. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physical Review Letters, Physics Letters A, Europhysics Letters (EPL) 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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