G. Pfister

1.8k citations
55 papers · 1.3k indexed · h-index 21

Impact in

Papers in

G. Pfister

55 papers receiving 1.3k citations

Peers

G. Pfister
Comparison fields: 5 of 104
  • Statistical and Nonlinear Physics 420
  • Computer Networks and Communications 637
  • Computational Mechanics 493
  • Economics and Econometrics 318
  • Global and Planetary Change 187
Replace Emily Stone with:
Emily Stone United States
Nicholas Tufillaro United States
Nathan Platt United States
John Gibson United States
Pascal Chossat France
R.G. Medhurst United Kingdom
R. Friedrich Germany
M. Gorman United States
Hans Jacob S. Feder United States
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G. Pfister relative to Emily Stone United States Emily Stone's profile →
Citations per field
00.5×3.3×
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Citations per year

Countries citing papers authored by G. Pfister

Since Specialization
Citations

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

Fields of papers citing papers by G. Pfister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20139
2 20125
3 201028
4 20094
5 200913
6 20098
7 20098
8 20086
9 200810
10 200812
11 20079
12 200314
13 20023
14 200122
15 200142
16 199826
17 199423
18 19939
19 1992122
20 197918

About G. Pfister

G. Pfister is a scholar working on Computer Networks and Communications, Computational Mechanics, Statistical and Nonlinear Physics, Economics and Econometrics and Global and Planetary Change, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (41 papers), Fluid Dynamics and Turbulent Flows (25 papers), Complex Systems and Time Series Analysis (21 papers), Chaos control and synchronization (13 papers), Ecosystem dynamics and resilience (8 papers), Plant Water Relations and Carbon Dynamics (7 papers), Fluid Dynamics and Vibration Analysis (5 papers) and Quantum chaos and dynamical systems (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (420 citations), Computer Networks and Communications (637 citations), Computational Mechanics (493 citations), Economics and Econometrics (318 citations) and Global and Planetary Change (187 citations). G. Pfister has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Thorsten M. Buzug, T. Mullin, J. Abshagen, K. A. Cliffe, Jürgen Stamm, Ingo Rehberg, Jan Raethjen, Günther Deuschl, Silke Siegert and Joachim Peinke. Their work appears in journals such as Journal of Fluid Mechanics, Physics Letters A, Physical Review Letters, Physica D Nonlinear Phenomena and Physics of Fluids.

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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