Thomas Wolf

17 papers receiving 344 citations

Peers

Thomas Wolf
Comparison fields: 5 of 35
  • Numerical Analysis 100
  • Statistical and Nonlinear Physics 146
  • Human-Computer Interaction 61
  • Computer Vision and Pattern Recognition 159
  • Statistics, Probability and Uncertainty 44
Replace Meng‐Bi Cheng with:
Meng‐Bi Cheng Taiwan
Gaojian Li Singapore
N. J. KRIKELIS Greece
E. Shimemura Japan
K. R. PALANISAMY India
Hideki Sano Japan
Zhiwei Yang China
Wim Michiels Belgium
Wouter Aangenent Netherlands
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Citations per field
00.5×5×10×14.7×
Meng‐Bi Cheng · 1×
Citations per year

Countries citing papers authored by Thomas Wolf

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Wolf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Thomas Wolf, 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 Thomas Wolf Line = papers co-authored together Thomas Wolf links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2016192
2 201039
3 201119
4 201319
5 201116
6 201311
7 201210
8 20158
9 20147
10 20137
11 20136
12 20145
13 20135
14 20164
15 20124
16
Passivity Preserving Order Reduction of Linear Port-Hamiltonian Systems by Moment Matching
20093
17 20161
18
H_2 and H_infinity Error Bounds for Model Order Reduction of Second Order Systems by Krylov Subspace Methods
20130
19 20240

About Thomas Wolf

Thomas Wolf is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Computational Theory and Mathematics, Control and Systems Engineering and Statistics, Probability and Uncertainty, having authored 19 papers that have together received 356 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (16 papers), Numerical methods for differential equations (11 papers), Matrix Theory and Algorithms (6 papers), Electromagnetic Simulation and Numerical Methods (3 papers), Real-time simulation and control systems (3 papers), Probabilistic and Robust Engineering Design (2 papers), Magnetic Properties and Applications (1 paper) and Machine Fault Diagnosis Techniques (1 paper). The work is most often cited by research in Numerical Analysis (100 citations), Statistical and Nonlinear Physics (146 citations), Human-Computer Interaction (61 citations), Computer Vision and Pattern Recognition (159 citations) and Statistics, Probability and Uncertainty (44 citations). Thomas Wolf has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Mohammadreza Babaee, Gerhard Rigoll, Boris Lohmann, Heiko K. F. Panzer, Rudy Eid, Paul Kotyczka, Stefan Jaensch, Markus Giftthaler and Patrick K. S. Vaudrevange. Their work appears in journals such as International Journal of Control, Applied Numerical Mathematics, Pattern Recognition Letters, European Journal of Control and at - Automatisierungstechnik.

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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