Michael Drass

456 total citations
36 papers, 291 citations indexed

About

Michael Drass is a scholar working on Mechanical Engineering, Biomedical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Michael Drass has authored 36 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Mechanical Engineering, 14 papers in Biomedical Engineering and 13 papers in Civil and Structural Engineering. Recurrent topics in Michael Drass's work include Structural Analysis of Composite Materials (21 papers), Mechanical Behavior of Composites (11 papers) and Elasticity and Material Modeling (11 papers). Michael Drass is often cited by papers focused on Structural Analysis of Composite Materials (21 papers), Mechanical Behavior of Composites (11 papers) and Elasticity and Material Modeling (11 papers). Michael Drass collaborates with scholars based in Germany, United States and Switzerland. Michael Drass's co-authors include Jens Schneider, Michael Kraus, Stefan Kolling, Philipp L. Rosendahl, Wilfried Becker, Julian Felger, John F. Muth, Christian Louter, Vladimir A. Kolupaev and Cenk Kocer and has published in prestigious journals such as Energy and Buildings, International Journal of Solids and Structures and Automation in Construction.

In The Last Decade

Michael Drass

35 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Drass Germany 10 168 122 106 87 36 36 291
Gaurav Srivastava India 11 133 0.8× 135 1.1× 10 0.1× 74 0.9× 65 1.8× 33 323
Xiaopeng Liu China 11 196 1.2× 45 0.4× 115 1.1× 52 0.6× 19 0.5× 40 331
Gérard‐Philippe Zéhil Lebanon 10 38 0.2× 192 1.6× 71 0.7× 31 0.4× 93 2.6× 28 323
Abdelmadjid Hamouine Algeria 6 61 0.4× 140 1.1× 237 2.2× 16 0.2× 65 1.8× 19 353
Peiyao Sheng China 10 79 0.5× 140 1.1× 251 2.4× 31 0.4× 41 1.1× 17 388
Xiang Long China 10 83 0.5× 172 1.4× 81 0.8× 13 0.1× 56 1.6× 28 342
Weikang Li China 11 97 0.6× 61 0.5× 116 1.1× 29 0.3× 26 0.7× 29 306
Hamid Bayesteh Iran 14 127 0.8× 218 1.8× 416 3.9× 30 0.3× 37 1.0× 20 583
P. V. Prosuntsov Russia 9 107 0.6× 30 0.2× 41 0.4× 51 0.6× 17 0.5× 65 264
Gregory J. Kay United States 4 88 0.5× 159 1.3× 140 1.3× 42 0.5× 35 1.0× 6 316

Countries citing papers authored by Michael Drass

Since Specialization
Citations

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

Fields of papers citing papers by Michael Drass

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Drass

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Drass. A scholar is included among the top collaborators of Michael Drass 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 Michael Drass. Michael Drass 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.
Drass, Michael, et al.. (2024). Cavitation and crack nucleation in thin hyperelastic adhesives. International Journal of Fracture. 247(1). 33–49. 3 indexed citations
2.
Kraus, Michael, et al.. (2024). Strength Lab AI: a mixture-of-experts deep learning approach for limit state analysis and design of monolithic and laminate structures made of glass. Glass Structures & Engineering. 9(3-4). 607–655. 2 indexed citations
3.
Drass, Michael, et al.. (2023). Temp-AI-Estimator: Interior temperature prediction using domain-informed Deep Learning. Energy and Buildings. 297. 113425–113425. 2 indexed citations
4.
Kocer, Cenk, et al.. (2022). Automated quality control of vacuum insulated glazing by convolutional neural network image classification. Automation in Construction. 135. 104144–104144. 13 indexed citations
6.
Kraus, Michael, et al.. (2021). Simulation von Verbundsicherheitsglas aus Einscheibensicherheitsglas im gebrochenen Zustand. ce/papers. 4(1). 119–129. 1 indexed citations
7.
Drass, Michael, et al.. (2020). Pseudo-elastic cavitation model: part I—finite element analyses on thin silicone adhesives in façades. Glass Structures & Engineering. 5(1). 41–65. 7 indexed citations
8.
Drass, Michael & Michael Kraus. (2020). Semi-Probabilistic Calibration of a Partial Material Safety Factor for Structural Silicone Adhesives - Part I: Derivation. American Journal of Applied Sciences (Multimedia University). 4(1). 56–68. 8 indexed citations
9.
Drass, Michael, et al.. (2020). Semantic segmentation with deep learning: detection of cracks at the cut edge of glass. Glass Structures & Engineering. 6(1). 21–37. 7 indexed citations
10.
Drass, Michael. (2020). Constitutive Modelling and Failure Prediction for Silicone Adhesives in Facade Design. TUbilio (Technical University of Darmstadt). 2 indexed citations
12.
Rosendahl, Philipp L., Michael Drass, Julian Felger, Jens Schneider, & Wilfried Becker. (2019). Equivalent strain failure criterion for multiaxially loaded incompressible hyperelastic elastomers. International Journal of Solids and Structures. 166. 32–46. 32 indexed citations
13.
Drass, Michael, John F. Muth, Christian Louter, & Jens Schneider. (2019). Stress whitening effects in transparent structural silicone adhesives. Glass Structures & Engineering. 4(3). 433–448. 7 indexed citations
14.
Rosendahl, Philipp L., Michael Drass, Jens Schneider, & Wilfried Becker. (2018). Crack nucleation in hyperelastic adhesive bonds. ce/papers. 2(5-6). 409–425. 7 indexed citations
15.
Drass, Michael, Vladimir A. Kolupaev, Jens Schneider, & Stefan Kolling. (2018). On cavitation in transparent structural silicone adhesive: TSSA. Glass Structures & Engineering. 3(2). 237–256. 9 indexed citations
16.
Drass, Michael, Jens Schneider, & Stefan Kolling. (2017). Damage effects of adhesives in modern glass façades: a micro-mechanically motivated volumetric damage model for poro-hyperelastic materials. International Journal of Mechanics and Materials in Design. 14(4). 591–616. 9 indexed citations
17.
Drass, Michael, et al.. (2017). Adhesive connections in glass structures—part II: material parameter identification on thin structural silicone. Glass Structures & Engineering. 3(1). 55–74. 19 indexed citations
18.
Drass, Michael & Jens Schneider. (2016). Constitutive Modeling of Transparent Structural Silicone Adhesive–TSSA. TUbilio (Technical University of Darmstadt). 1 indexed citations
19.
Becker, Matthias, et al.. (2015). Static and Dynamic Properties of Structures measured by Terrestrial Microwave Interferometry. Report. 105. 1392–1399. 1 indexed citations
20.
Schober, Kay‐Uwe, et al.. (2012). Advanced interface interaction in timber engineering joints with dowel-type fasteners embedded in high-performance ceramic fillers. 2 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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