Gerhard Jank

77 papers receiving 952 citations

Peers

Gerhard Jank
Comparison fields: 5 of 90
  • Numerical Analysis 168
  • Applied Mathematics 279
  • Geometry and Topology 187
  • Control and Systems Engineering 365
  • Computational Theory and Mathematics 251
Replace Agamirza E. Bashirov with:
Agamirza E. Bashirov Cyprus
Geraldo Nunes Silva Brazil
Pierpaolo Soravia Italy
Svetoslav Markov Bulgaria
A. I. Subbotin Russia
Halina Frankowska France
Stephen Montgomery-Smith United States
J. Warga United States
N. U. Ahmed Canada
R. Jensen United States
Gerhard Jank relative to Agamirza E. Bashirov Cyprus Agamirza E. Bashirov's profile →
Citations per field
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Citations per year

Countries citing papers authored by Gerhard Jank

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Jank

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Gerhard Jank, 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 Gerhard Jank Line = papers co-authored together Gerhard Jank links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985113
2 199694
3 199487
4 199584
5 200156
6 198654
7 199641
8 201040
9 199639
10 199336
11 199522
12 201021
13
Stabilizability, controllability and optimal strategies of linear and nonlinear dynamical games
200020
14 199919
15 199618
16 200218
17 200317
18 199816
19 200015
20 201114

About Gerhard Jank

Gerhard Jank is a scholar working on Control and Systems Engineering, Numerical Analysis, Applied Mathematics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 82 papers that have together received 1.1k indexed citations. Recurring topics across this work include Numerical methods for differential equations (14 papers), Matrix Theory and Algorithms (13 papers), Advanced Differential Equations and Dynamical Systems (11 papers), Guidance and Control Systems (11 papers), Advanced Control Systems Optimization (10 papers), Quantum chaos and dynamical systems (9 papers), Mathematical and Theoretical Epidemiology and Ecology Models (8 papers) and Meromorphic and Entire Functions (8 papers). The work is most often cited by research in Numerical Analysis (168 citations), Applied Mathematics (279 citations), Geometry and Topology (187 citations), Control and Systems Engineering (365 citations) and Computational Theory and Mathematics (251 citations). Gerhard Jank has collaborated with scholars based in Germany, France and Portugal. Frequent co-authors include Gerhard Freiling, Hisham Abou‐Kandil, Lutz Volkmann, Gábor Kun, Erwin Mues, P. Lopes dos Santos, J. A. Ramos, J. L. Martins de Carvalho, Andrey Sarychev and Volker Dietrich. Their work appears in journals such as IEEE Transactions on Automatic Control, Multidimensional Systems and Signal Processing, European Journal of Control, Results in Mathematics and Journal of Dynamical and Control Systems.

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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