Tamara Bechtold

68 papers receiving 531 citations

Peers

Tamara Bechtold
Comparison fields: 5 of 54
  • Statistical and Nonlinear Physics 258
  • Numerical Analysis 44
  • Statistics, Probability and Uncertainty 57
  • Mechanical Engineering 194
  • Electrical and Electronic Engineering 290
Replace York Christian Gerstenmaier with:
York Christian Gerstenmaier Germany
John Parry United Kingdom
Danilo Karličić Serbia
M. Khurram Wadee United Kingdom
Martin Kružík Czechia
Andrzej Rysak Poland
E.S. Hung United States
Shuangbao Li China
A. Kimiaeifar Denmark
H.I. Rosten Netherlands
Tamara Bechtold relative to York Christian Gerstenmaier Germany York Christian Gerstenmaier's profile →
Citations per field
00.5×5.3×
York Christian Gerstenmaier · 1×
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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200561
2 200445
3 201342
4 200633
5
Automatic Generation of Compact Electro-Thermal Models for Semiconductor Devices
200333
6 202028
7 201523
8 201020
9 202120
10 200517
11 202016
12 200513
13 200811
14 202110
15 20049
16 20219
17 20228
18 20198
19 20188
20 20028

About Tamara Bechtold

Tamara Bechtold is a scholar working on Statistical and Nonlinear Physics, Electrical and Electronic Engineering, Mechanical Engineering, Control and Systems Engineering and Electronic, Optical and Magnetic Materials, having authored 75 papers that have together received 563 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (39 papers), Innovative Energy Harvesting Technologies (19 papers), Electromagnetic Simulation and Numerical Methods (12 papers), Advanced MEMS and NEMS Technologies (12 papers), Magnetic Properties and Applications (10 papers), Numerical methods for differential equations (9 papers), Fluid Dynamics and Vibration Analysis (9 papers) and Energy Harvesting in Wireless Networks (8 papers). The work is most often cited by research in Statistical and Nonlinear Physics (258 citations), Numerical Analysis (44 citations), Statistics, Probability and Uncertainty (57 citations), Mechanical Engineering (194 citations) and Electrical and Electronic Engineering (290 citations). Tamara Bechtold has collaborated with scholars based in Germany, Netherlands and Algeria. Frequent co-authors include Jan G. Korvink, Evgenii B. Rudnyi, Dennis Hohlfeld, Boris Lohmann, Michael Günther, Behnam Salimbahrami, E. Jan W. ter Maten, Christoph Ament, M. Gräf and Andreas Hierlemann. 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 Advanced Materials Technologies.

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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