Michael Hanss

66 papers receiving 1.3k citations

Peers

Michael Hanss
Comparison fields: 5 of 88
  • Statistics, Probability and Uncertainty 683
  • Statistics and Probability 222
  • Civil and Structural Engineering 526
  • Management Science and Operations Research 232
  • Computational Theory and Mathematics 200
Replace Matteo Broggi with:
Matteo Broggi Germany
Debiao Meng China
Steven F. Wojtkiewicz United States
Kai Cheng China
Samy Missoum United States
Nicola Pedroni Italy
Marcos A. Valdebenito Germany
Shankar Sankararaman United States
Mohsen Rashki Iran
Michael Hanss relative to Matteo Broggi Germany Matteo Broggi's profile →
Citations per field
00.5×2.5×
Matteo Broggi · 1×
Citations per year

Countries citing papers authored by Michael Hanss

Since Specialization
Citations

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

Fields of papers citing papers by Michael Hanss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Michael Hanss, 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 Hanss Line = papers co-authored together Michael Hanss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002252
2 2010206
3 2005181
4 201076
5 200350
6 200044
7 201042
8 200832
9 200229
10 201127
11 200326
12 200726
13 200325
14 202122
15 201321
16 201721
17 201819
18 200814
19 201914
20 200213

About Michael Hanss

Michael Hanss is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering, Artificial Intelligence, Management Science and Operations Research and Statistics and Probability, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (30 papers), Fuzzy Systems and Optimization (17 papers), Multi-Criteria Decision Making (16 papers), Fuzzy Logic and Control Systems (12 papers), Structural Health Monitoring Techniques (12 papers), Advanced Multi-Objective Optimization Algorithms (7 papers), Hydraulic and Pneumatic Systems (7 papers) and Vehicle Dynamics and Control Systems (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (683 citations), Statistics and Probability (222 citations), Civil and Structural Engineering (526 citations), Management Science and Operations Research (232 citations) and Computational Theory and Mathematics (200 citations). Michael Hanss has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include David Moens, Kai Willner, Thomas Haag, Lothar Gaul, Oliviero Giannini, Peter Eberhard, Jan Herrmann, A. P. S. Selvadurai, Phaedon‐Stelios Koutsourelakis and Stefan Hurlebaus. Their work appears in journals such as Mechanical Systems and Signal Processing, Fuzzy Sets and Systems, Journal of Sound and Vibration, Computer Modeling in Engineering & Sciences and Mechanics Research Communications.

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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