Timo Bernthaler

1.2k total citations
67 papers, 934 citations indexed

About

Timo Bernthaler is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering and Automotive Engineering. According to data from OpenAlex, Timo Bernthaler has authored 67 papers receiving a total of 934 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Mechanical Engineering, 15 papers in Electrical and Electronic Engineering and 14 papers in Automotive Engineering. Recurrent topics in Timo Bernthaler's work include Advancements in Battery Materials (10 papers), Additive Manufacturing Materials and Processes (8 papers) and Advanced materials and composites (7 papers). Timo Bernthaler is often cited by papers focused on Advancements in Battery Materials (10 papers), Additive Manufacturing Materials and Processes (8 papers) and Advanced materials and composites (7 papers). Timo Bernthaler collaborates with scholars based in Germany, Australia and India. Timo Bernthaler's co-authors include Gerhard Schneider, D. Goll, Dieter Meinhard, A. Kopp, Volker Knoblauch, Harald Riegel, Irina V. Belova, Thomas Fiedler, Graeme E. Murch and Tim Schubert and has published in prestigious journals such as SHILAP Revista de lepidopterología, Acta Materialia and Chemical Physics Letters.

In The Last Decade

Timo Bernthaler

61 papers receiving 911 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Timo Bernthaler Germany 16 638 268 224 159 116 67 934
Volker Knoblauch Germany 17 512 0.8× 679 2.5× 430 1.9× 252 1.6× 145 1.3× 56 1.2k
Jijin Xu China 22 1.2k 1.9× 219 0.8× 182 0.8× 167 1.1× 292 2.5× 76 1.4k
Susanta Kumar Sahoo India 18 769 1.2× 283 1.1× 100 0.4× 194 1.2× 231 2.0× 89 1.0k
G. X. Chen China 16 507 0.8× 76 0.3× 130 0.6× 234 1.5× 169 1.5× 48 842
Bradley Howell Jared United States 21 1.2k 1.9× 167 0.6× 761 3.4× 297 1.9× 213 1.8× 65 1.7k
Brendan P. Croom United States 15 480 0.8× 93 0.3× 249 1.1× 161 1.0× 243 2.1× 32 917
Muhammad A. Ali United Arab Emirates 19 317 0.5× 103 0.4× 89 0.4× 191 1.2× 179 1.5× 40 839
Cheng‐Hsien Wu Taiwan 17 541 0.8× 358 1.3× 97 0.4× 166 1.0× 100 0.9× 47 964
Dong He China 16 399 0.6× 70 0.3× 124 0.6× 77 0.5× 291 2.5× 66 745

Countries citing papers authored by Timo Bernthaler

Since Specialization
Citations

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

Fields of papers citing papers by Timo Bernthaler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Bernthaler

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Bernthaler. A scholar is included among the top collaborators of Timo Bernthaler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Timo Bernthaler. Timo Bernthaler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Bernthaler, Timo, et al.. (2025). 3D damage evolution and microstructural-based machine learning model for stiffness prediction in woven composite under cyclic loads. International Journal of Fatigue. 197. 108913–108913. 3 indexed citations
2.
Bernthaler, Timo, et al.. (2025). Deep learning-based image super resolution methods in microscopy – a review. SHILAP Revista de lepidopterología. 2(2). 235–275.
3.
Bernthaler, Timo, et al.. (2025). Microstructural damage dependent machine learning model to predict stiffness reduction in damaged GFRP composites. Journal of Reinforced Plastics and Composites.
4.
Bernthaler, Timo, et al.. (2024). GeGra: Approaching a generic model for quantitative grain size analysis from materials microscopy data using deep learning. Materials Characterization. 217. 114379–114379. 2 indexed citations
5.
Bernthaler, Timo, et al.. (2024). A data-driven approach to predict the saturation magnetization for magnetic 14:2:1 phases from chemical composition. AIP Advances. 14(1). 2 indexed citations
6.
Bernthaler, Timo, et al.. (2024). Reducing artifact generation when using perceptual loss for image deblurring of microscopy data for microstructure analysis. SHILAP Revista de lepidopterología. 1(2). 137–150. 1 indexed citations
7.
Bernthaler, Timo, et al.. (2024). Comparison of damage mechanisms in chopped strand mat and woven roving mat composites under cyclic tension. Polymer Composites. 45(12). 11162–11177. 2 indexed citations
8.
9.
Bernthaler, Timo, et al.. (2023). Machine learning-based Curie temperature prediction for magnetic 14:2:1 phases. AIP Advances. 13(3). 5 indexed citations
10.
11.
Bernthaler, Timo, et al.. (2021). Increasing the Image Sharpness of Light Microscope Images Using Deep Learning. Practical Metallography. 58(11). 684–696. 1 indexed citations
12.
Bernthaler, Timo, et al.. (2020). Machine Learning for Microstructure Quantification of Different Material Classes. Practical Metallography. 57(7). 475–501. 1 indexed citations
13.
Harrison, David K., et al.. (2020). Evaluation of Material Analysis Methods for the Determination of the Composition of Blended Cathodes in Lithium-Ion Batteries. Practical Metallography. 57(3). 176–198. 1 indexed citations
14.
Schubert, Tim, et al.. (2019). Cemented carbide development for Additive Manufacturing (AM). OPUS (Aalen University). 1 indexed citations
15.
Schubert, Tim, et al.. (2019). Characteristics of Microstructural Formations Occurring in Additively Manufactured Materials. Practical Metallography. 56(4). 230–245. 1 indexed citations
16.
Jurgens, Wouter J.F.M., et al.. (2018). Wear and Damage Characterization of Coated Carbide Tools by means of FIB-SEM Microscopy. Practical Metallography. 55(10). 704–715. 1 indexed citations
17.
Schuller, David E., et al.. (2017). Microstructure Characteristics of Electrical Steel for Electrical Power Converters. Practical Metallography. 54(9). 615–635. 1 indexed citations
18.
Schubert, Tim, et al.. (2017). Investigations on Additive Manufacturing of WCCo Hard Metals by Laser Beam Melting. Practical Metallography. 54(9). 577–595. 8 indexed citations
19.
Knoblauch, Volker, et al.. (2013). Preparation and Microstructural Characterisation of Metal Injection Moulded Powder Metallurgical Components (MIM) in the Green and Sintered Conditions. Practical Metallography. 50(10). 677–692. 1 indexed citations
20.
Bernthaler, Timo, et al.. (2012). The Materialographic Preparation and Microstructure Characterization of Lithium Ion Accumulators. Practical Metallography. 49(2). 75–85. 15 indexed citations

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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