Thomas Wolf

493 citations
18 papers · 335 indexed · h-index 9

Thomas Wolf

17 papers receiving 314 citations

Peers

Thomas Wolf
Comparison fields: 5 of 33
  • Numerical Analysis 103
  • Statistical and Nonlinear Physics 150
  • Human-Computer Interaction 52
  • Computer Vision and Pattern Recognition 141
  • Statistics, Probability and Uncertainty 40
Replace Α. Gallo with:
Α. Gallo Italy
G. Li Singapore
Meng‐Bi Cheng Taiwan
N. J. KRIKELIS Greece
Weehong Tan United States
Koichi Niijima Japan
K. R. PALANISAMY India
S. Mukherjee India
E. Shimemura Japan
Federico Califano Netherlands
Thomas Wolf relative to Α. Gallo Italy Α. Gallo's profile →
Citations per field
00.5×3.6×
Α. Gallo · 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-authorship network

The 8 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

18 of 18 papers shown
#Work
1 2016170
2 20162
3 20158
4 20144
5 20145
6
H 2 pseudo-optimal model order reduction
201415
7
H_2 and H_infinity Error Bounds for Model Order Reduction of Second Order Systems by Krylov Subspace Methods
20130
8 20134
9 201317
10 20137
11 201312
12 20137
13 20124
14 201210
15 201115
16 201116
17 201034
18
Passivity Preserving Order Reduction of Linear Port-Hamiltonian Systems by Moment Matching
20095

About Thomas Wolf

Thomas Wolf is a scholar working on Numerical Analysis, Statistical and Nonlinear Physics, Statistics, Probability and Uncertainty, Computational Theory and Mathematics and Control and Systems Engineering, having authored 18 papers that have together received 335 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (16 papers), Numerical methods for differential equations (10 papers), Matrix Theory and Algorithms (5 papers), Electromagnetic Simulation and Numerical Methods (3 papers), Probabilistic and Robust Engineering Design (3 papers), Real-time simulation and control systems (3 papers), Control Systems and Identification (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Numerical Analysis (103 citations), Statistical and Nonlinear Physics (150 citations), Human-Computer Interaction (52 citations), Computer Vision and Pattern Recognition (141 citations) and Statistics, Probability and Uncertainty (40 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, S. Jaensch and Markus Giftthaler. Their work appears in journals such as International Journal of Control, European Journal of Control, Pattern Recognition Letters, at - Automatisierungstechnik and Mathematical and Computer Modelling of Dynamical 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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