Tamara Bechtold

83 papers receiving 649 citations

Peers

Tamara Bechtold
Comparison fields: 5 of 56
  • Statistical and Nonlinear Physics 312
  • Numerical Analysis 64
  • Statistics, Probability and Uncertainty 72
  • Control and Systems Engineering 148
  • Mechanical Engineering 227
Replace Yanpeng Gong with:
Yanpeng Gong China
York Christian Gerstenmaier Germany
Martin Kružík Czechia
M. Khurram Wadee United Kingdom
Andrzej Rysak Poland
A. Kimiaeifar Denmark
Gary W. Bohannan United States
E.S. Hung United States
Shuangbao Li China
John D. Parry United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Tamara Bechtold

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Bechtold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tamara Bechtold, 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 Tamara Bechtold Line = papers co-authored together Tamara Bechtold links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200565
2 200447
3 201346
4
Automatic Generation of Compact Electro-Thermal Models for Semiconductor Devices
200337
5 200636
6 202031
7 201525
8 202124
9 201022
10 202017
11 200516
12 200516
13 202112
14 200711
15 202111
16 200811
17 200410
18 201810
19 20029
20 20229

About Tamara Bechtold

Tamara Bechtold is a scholar working on Statistical and Nonlinear Physics, Numerical Analysis, Mechanical Engineering, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 91 papers that have together received 684 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (48 papers), Innovative Energy Harvesting Technologies (20 papers), Advanced MEMS and NEMS Technologies (15 papers), Electromagnetic Simulation and Numerical Methods (15 papers), Numerical methods for differential equations (13 papers), Real-time simulation and control systems (12 papers), Magnetic Properties and Applications (11 papers) and Fluid Dynamics and Vibration Analysis (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (312 citations), Numerical Analysis (64 citations), Statistics, Probability and Uncertainty (72 citations), Control and Systems Engineering (148 citations) and Mechanical Engineering (227 citations). Tamara Bechtold has collaborated with scholars based in Germany, Netherlands and Spain. Frequent co-authors include Jan Gerrit Korvink, Evgenii B. Rudnyi, Dennis Hohlfeld, Lihong Feng, Gabriele Schrag, Boris Lohmann, Michael Günther, T. T. Voss, E. Jan W. ter Maten and Behnam Salimbahrami. Their work appears in journals such as Microelectronics Reliability, Journal of Micromechanics and Microengineering, International Journal for Numerical Methods in Biomedical Engineering, IEICE Transactions on Electronics and Lecture notes in computational science and engineering.

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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