René Schenkendorf

819 total citations
50 papers, 620 citations indexed

About

René Schenkendorf is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Computational Theory and Mathematics. According to data from OpenAlex, René Schenkendorf has authored 50 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Control and Systems Engineering, 18 papers in Statistics, Probability and Uncertainty and 10 papers in Computational Theory and Mathematics. Recurrent topics in René Schenkendorf's work include Probabilistic and Robust Engineering Design (15 papers), Advanced Control Systems Optimization (14 papers) and Fault Detection and Control Systems (11 papers). René Schenkendorf is often cited by papers focused on Probabilistic and Robust Engineering Design (15 papers), Advanced Control Systems Optimization (14 papers) and Fault Detection and Control Systems (11 papers). René Schenkendorf collaborates with scholars based in Germany, Austria and Italy. René Schenkendorf's co-authors include Ulrike Krewer, M. Mangold, Andreas Kremling, Michael Mangold, Nan Lin, Nicolas Wolff, Stephan Scholl, Ulrich Römer, Thomas Kadyk and Christoph Herwig and has published in prestigious journals such as Journal of The Electrochemical Society, Chemical Engineering Science and European Journal of Pharmaceutics and Biopharmaceutics.

In The Last Decade

René Schenkendorf

47 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
René Schenkendorf Germany 14 218 147 144 137 104 50 620
Yu Yang United States 13 194 0.9× 37 0.3× 126 0.9× 46 0.3× 16 0.2× 61 469
Edward P. Gatzke United States 17 429 2.0× 94 0.6× 142 1.0× 112 0.8× 10 0.1× 40 968
Donald J. Chmielewski United States 16 655 3.0× 58 0.4× 270 1.9× 27 0.2× 28 0.3× 55 979
Adrian Caspari Germany 15 385 1.8× 33 0.2× 101 0.7× 22 0.2× 16 0.2× 25 588
Richard C. Pattison United States 16 591 2.7× 25 0.2× 131 0.9× 21 0.2× 14 0.1× 24 816
Gyeongho Kim South Korea 17 61 0.3× 29 0.2× 170 1.2× 178 1.3× 23 0.2× 44 610
Douglas W. Brown United States 15 242 1.1× 22 0.1× 261 1.8× 20 0.1× 36 0.3× 48 653
B. Abdi Iran 13 262 1.2× 105 0.7× 604 4.2× 5 0.0× 31 0.3× 70 722
Luis Alberto Martínez Riascos Brazil 11 136 0.6× 61 0.4× 186 1.3× 4 0.0× 26 0.3× 36 405

Countries citing papers authored by René Schenkendorf

Since Specialization
Citations

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

Fields of papers citing papers by René Schenkendorf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of René Schenkendorf

This figure shows the co-authorship network connecting the top 25 collaborators of René Schenkendorf. A scholar is included among the top collaborators of René Schenkendorf 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 René Schenkendorf. René Schenkendorf 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.
Schenkendorf, René, et al.. (2022). Neural ODEs and differential flatness for total least squares parameter estimation. IFAC-PapersOnLine. 55(20). 421–426. 2 indexed citations
2.
Pozzi, Andrea, et al.. (2020). Global sensitivity methods for design of experiments in lithium-ion battery context. ArTS Archivio della ricerca di Trieste (University of Trieste https://www.units.it/). 15 indexed citations
3.
Spieß, Antje C., et al.. (2020). Rigorous Model-Based Design and Experimental Verification of Enzyme-Catalyzed Carboligation under Enzyme Inactivation. Catalysts. 10(1). 96–96. 1 indexed citations
4.
Schenkendorf, René, Dimitrios I. Gerogiorgis, Seyed Soheil Mansouri, & Krist V. Gernaey. (2020). Model-Based Tools for Pharmaceutical Manufacturing Processes. Processes. 8(1). 49–49. 4 indexed citations
5.
Schenkendorf, René, et al.. (2020). Robust Model Selection: Flatness-Based Optimal Experimental Design for a Biocatalytic Reaction. Processes. 8(2). 190–190. 6 indexed citations
6.
Schenkendorf, René, et al.. (2019). Stochastic back-off-based robust process design for continuous crystallization of ibuprofen. Computers & Chemical Engineering. 124. 80–92. 8 indexed citations
7.
Neumann, Thorsten, et al.. (2019). Analyzing uncertainties in model response using the point estimate method: Applications from railway asset management. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 233(5). 761–774. 5 indexed citations
8.
Flassig, Robert & René Schenkendorf. (2018). Model-Based Design of Experiments: Where to Go?. 19–20. 4 indexed citations
9.
Schenkendorf, René, et al.. (2018). Efficient sensitivity analysis and interpretation of parameter correlations in chemical engineering. Reliability Engineering & System Safety. 187. 159–173. 17 indexed citations
10.
Lin, Nan, et al.. (2018). Efficient Global Sensitivity Analysis of 3D Multiphysics Model for Li-Ion Batteries. Journal of The Electrochemical Society. 165(7). A1169–A1183. 48 indexed citations
11.
Schenkendorf, René, et al.. (2017). A systematic reactor design approach for the synthesis of active pharmaceutical ingredients. European Journal of Pharmaceutics and Biopharmaceutics. 126. 75–88. 13 indexed citations
12.
Schenkendorf, René, et al.. (2016). Improved Railway Track Irregularities Classification by aModel Inversion Approach. PHM Society European Conference. 3(1). 10 indexed citations
13.
Schenkendorf, René. (2016). Supporting the shift towards continuous pharmaceutical manufacturing by condition monitoring. 593–598. 5 indexed citations
14.
Schenkendorf, René. (2014). A General Framework for Uncertainty Propagation Based on Point Estimate Methods. PHM Society European Conference. 2(1). 11 indexed citations
15.
Schenkendorf, René. (2014). Optimal experimental design for parameter identification and model selection. Digitalen Hochschulbibliothek Sachsen-Anhalt (Universitäts- und Landesbibliothek Sachsen-Anhalt). 8 indexed citations
16.
Schenkendorf, René & Michael Mangold. (2014). Parameter identification for ordinary and delay differential equations by using flat inputs. Theoretical Foundations of Chemical Engineering. 48(5). 594–607. 16 indexed citations
17.
Linder, Christian, et al.. (2014). Prognoseverfahren zur Gleislageabweichung bei Einzelfehlern. elib (German Aerospace Center). 2 indexed citations
18.
Schenkendorf, René & Michael Mangold. (2012). Online model selection approach based on Unscented Kalman Filtering. Journal of Process Control. 23(1). 44–57. 11 indexed citations
19.
Schenkendorf, René, Udo Reichl, & Michael Mangold. (2012). Parameter Identification Of Time-Delay Systems: A Flatness Based Approach. IFAC Proceedings Volumes. 45(2). 165–170. 5 indexed citations
20.
Schenkendorf, René, Andreas Kremling, & Michael Mangold. (2011). Influence of non-linearity to the Optimal Experimental Design demonstrated by a biological system. Mathematical and Computer Modelling of Dynamical Systems. 18(4). 413–426. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Yu Yang Breakdown of academic impact, for papers by Edward P. Gatzke Breakdown of academic impact, for papers by Donald J. Chmielewski Breakdown of academic impact, for papers by Adrian Caspari Breakdown of academic impact, for papers by Richard C. Pattison Breakdown of academic impact, for papers by Gyeongho Kim Breakdown of academic impact, for papers by Douglas W. Brown Breakdown of academic impact, for papers by B. Abdi Breakdown of academic impact, for papers by Luis Alberto Martínez Riascos
Rankless by CCL
2026