Michael Dellnitz

116 papers receiving 3.0k citations

Peers

Michael Dellnitz
Comparison fields: 5 of 115
  • Statistical and Nonlinear Physics 1.5k
  • Numerical Analysis 317
  • Statistics, Probability and Uncertainty 345
  • Mathematical Physics 444
  • Computational Theory and Mathematics 784
Replace Oliver Junge with:
Oliver Junge Germany
Tryphon T. Georgiou United States
Andrzej Lasota Poland
Kyle A. Gallivan United States
Adhemar Bultheel Belgium
Joel Franklin United States
Luca Dieci United States
Peter E. Kloeden Germany
Allan Pinkus Israel
H. N. Mhaskar United States
Michael Dellnitz relative to Oliver Junge Germany Oliver Junge's profile →
Citations per field
00.5×2.5×
Oliver Junge · 1×
Citations per year

Countries citing papers authored by Michael Dellnitz

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dellnitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999334
2 1997232
3 2005208
4 2002157
5 2001154
6 2005134
7 200383
8 200579
9 200868
10 201863
11 199360
12 200360
13 200959
14 199758
15 202057
16 198956
17 200054
18 199653
19 200552
20 200649

About Michael Dellnitz

Michael Dellnitz is a scholar working on Statistical and Nonlinear Physics, Control and Systems Engineering, Computational Theory and Mathematics, Computer Networks and Communications and Numerical Analysis, having authored 121 papers that have together received 3.4k indexed citations. Recurring topics across this work include Quantum chaos and dynamical systems (34 papers), Advanced Control Systems Optimization (18 papers), Advanced Multi-Objective Optimization Algorithms (15 papers), Probabilistic and Robust Engineering Design (14 papers), Nonlinear Dynamics and Pattern Formation (14 papers), Mathematical Dynamics and Fractals (13 papers), Model Reduction and Neural Networks (12 papers) and Advanced Differential Equations and Dynamical Systems (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.5k citations), Numerical Analysis (317 citations), Statistics, Probability and Uncertainty (345 citations), Mathematical Physics (444 citations) and Computational Theory and Mathematics (784 citations). Michael Dellnitz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Oliver Junge, Andreas Hohmann, Gary Froyland, Oliver Schütze, Sebastian Peitz, Martin Golubitsky, Ian Melbourne, Kathrin Padberg‐Gehle, Jerrold E. Marsden and Sina Ober‐Blöbaum. Their work appears in journals such as International Journal of Bifurcation and Chaos, Journal of Global Optimization, Journal of Computational and Applied Mathematics, Nonlinearity and Engineering Optimization.

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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