Andreas Keese

922 citations
9 papers · 582 · h-index 7

Impact in

Papers in

Journals
Computer Methods in Applied Mechanics and Engineering (1 paper)Computers & Structures (1 paper)PAMM (3 papers)LeoPARD - TU Braunschweig Publications And Research Data (1 paper)Digitale Bibliothek Braunschweig (Verbundzentrale Göttingen (VZG)) (3 papers)
Partner nations
Germany

In The Last Decade

Andreas Keese

9 papers receiving 532 citations

Peers

Andreas Keese
Comparison fields: 5 of 48
  • Statistics, Probability and Uncertainty 517
  • Computational Mathematics 14
  • Environmental Engineering 171
  • Computational Theory and Mathematics 172
  • Civil and Structural Engineering 207
Replace Jerrad Hampton with:
Jerrad Hampton United States
Zhibao Zheng Germany
Hans-Jörg Starkloff Germany
M. Grigoriu United States
D. V. Iourtchenko United States
Arthur C. Taylor United States
Alex Gorodetsky United States
Shigehiro Sakamoto Japan
Dimitrios I. Papadimitriou Greece
Giovanni Migliorati Switzerland
Andreas Keese relative to Jerrad Hampton United States Jerrad Hampton's profile →
Citations per field
00.5×2.8×
Jerrad Hampton · 1×
Citations per year

Countries citing papers authored by Andreas Keese

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Keese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 1 scholars most cited alongside Andreas Keese, 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 Andreas Keese Line = papers co-authored together Andreas Keese links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2004382
2 200558
3 200352
4 200346
5 200317
6 200313
7 20038
8 20025
9 20031

About Andreas Keese

Andreas Keese is a scholar working on Statistics, Probability and Uncertainty, Computational Mechanics, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Numerical Analysis, having authored 9 papers that have together received 582 indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (8 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Mathematical Approximation and Integration (2 papers), Wind and Air Flow Studies (2 papers), Model Reduction and Neural Networks (2 papers), Stochastic processes and financial applications (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (517 citations), Computational Mathematics (14 citations), Environmental Engineering (171 citations), Computational Theory and Mathematics (172 citations) and Civil and Structural Engineering (207 citations). Andreas Keese has collaborated with scholars based in Germany. Frequent co-authors include Hermann G. Matthies. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Computers & Structures, PAMM, LeoPARD - TU Braunschweig Publications And Research Data and Digitale Bibliothek Braunschweig (Verbundzentrale Göttingen (VZG)).

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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