Arnd Koeppe

924 total citations
37 papers, 624 citations indexed

About

Arnd Koeppe is a scholar working on Mechanical Engineering, Civil and Structural Engineering and Biomedical Engineering. According to data from OpenAlex, Arnd Koeppe has authored 37 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 10 papers in Civil and Structural Engineering and 10 papers in Biomedical Engineering. Recurrent topics in Arnd Koeppe's work include Model Reduction and Neural Networks (7 papers), Machine Learning in Materials Science (6 papers) and Structural Health Monitoring Techniques (5 papers). Arnd Koeppe is often cited by papers focused on Model Reduction and Neural Networks (7 papers), Machine Learning in Materials Science (6 papers) and Structural Health Monitoring Techniques (5 papers). Arnd Koeppe collaborates with scholars based in Germany, India and China. Arnd Koeppe's co-authors include Bernd Markert, Franz Bamer, Marion Mundt, Sina David, Wolfgang Potthast, Michael Selzer, Britta Nestler, Maximilian Voshage, Johannes Henrich Schleifenbaum and Yinghan Zhao and has published in prestigious journals such as Advanced Energy Materials, Acta Materialia and ACS Applied Materials & Interfaces.

In The Last Decade

Arnd Koeppe

34 papers receiving 608 citations

Peers

Countries citing papers authored by Arnd Koeppe

Since Specialization

Citations

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

Fields of papers citing papers by Arnd Koeppe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnd Koeppe

This figure shows the co-authorship network connecting the top 25 collaborators of Arnd Koeppe. A scholar is included among the top collaborators of Arnd Koeppe 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 Arnd Koeppe. Arnd Koeppe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	LISA: A Lithium-Ion Solid-State Assistant using large language models for knowledge defragmentation in battery science and beyond 2025 ·Materials Today Communications ·Yinghan Zhao, Anna‐Lena Hansen, (unknown), Nico Brandt, Michael Selzer, Arnd Koeppe, Britta Nestler, Michael Knapp, Helmut Ehrenberg	4
2	Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning 2025 ·Advanced Energy Materials ·(unknown), (unknown), Mohd Khairul Ahmad, (unknown), Arnd Koeppe, Britta Nestler, Daniel Schneider	3
3	Synthetic training data for CT image segmentation of microstructures 2025 ·Acta Materialia ·(unknown), Arnd Koeppe, (unknown), (unknown), Britta Nestler	0
4	From Powder to Pouch Cell: Setting up a Sodium‐Ion Battery Reference System Based on Na ₃ V ₂ (PO ₄ ) ₃ /C and Hard Carbon 2024 ·Batteries & Supercaps ·Pirmin Stüble, (unknown), Nicole Bohn, Marcus Müller, Andreas Hofmann, (unknown), (unknown), Arnd Koeppe, (unknown), (unknown), Holger Geßwein, Wilhelm Schabel, Philip Scharfer, Michael Selzer, Joachim R. Binder, Anna Smith	5
5	A U-Net-based self-stitching method for generating periodic grain structures 2024 ·Physica Scripta ·(unknown), Arnd Koeppe, Patrick Altschuh, (unknown), (unknown), Britta Nestler	0
6	Lattice Metamaterials with Mesoscale Motifs: Exploration of Property Charts by Bayesian Optimization 2023 ·Advanced Engineering Materials ·Roman Kulagin, Patrick Reiser, (unknown), Arnd Koeppe, Yan Beygelzimer, Yuri Estrin, Pascal Friederich, Peter Gumbsch	8
7	Characterization of porous membranes using artificial neural networks 2023 ·Acta Materialia ·Yinghan Zhao, Patrick Altschuh, (unknown), (unknown), (unknown), Michael Selzer, Arnd Koeppe, Britta Nestler	17
8	Data‐Driven Virtual Material Analysis and Synthesis for Solid Electrolyte Interphases 2023 ·Advanced Energy Materials ·(unknown), Arnd Koeppe, (unknown), Michael Selzer, Wolfgang Wenzel, Helge S. Stein, Britta Nestler	6
9	Identification of Lithium Compounds on Surfaces of Lithium Metal Anode with Machine-Learning-Assisted Analysis of ToF-SIMS Spectra 2023 ·ACS Applied Materials & Interfaces ·Yinghan Zhao, Svenja‐K. Otto, Teo Lombardo, Anja Henß, Arnd Koeppe, Michael Selzer, Jürgen Janek, Britta Nestler	16
10	Data-Driven Insights on Grain-Growth Kinetics in Duplex and Triplex Systems 2022 ·SSRN Electronic Journal ·P. G. Kubendran Amos, Arnd Koeppe, (unknown), Britta Nestler	1
11	Prediction of ground reaction force and joint moments based on optical motion capture data during gait 2020 ·Medical Engineering & Physics ·Marion Mundt, Arnd Koeppe, Sina David, Franz Bamer, Wolfgang Potthast, Bernd Markert	38
12	CREATING VIRTUAL FORCE PLATFORMS FOR CUTTING MANEUVERS FROM KINEMATIC DATA BASED ON LSTM NEURAL NETWORKS 2020 ·ISBS Proceedings Archive ·(unknown), Marion Mundt, Sina David, Arnd Koeppe, Bernd Markert, Wolfgang Potthast	0
13	Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network 2020 ·Frontiers in Bioengineering and Biotechnology ·Marion Mundt, Arnd Koeppe, Sina David, (unknown), Franz Bamer, Wolfgang Potthast, Bernd Markert	109
14	JOINT ANGLE ESTIMATION DURING FAST CUTTING MANOEUVRES USING ARTIFICIAL NEURAL NETWORKS 2019 ·ISBS Proceedings Archive ·Marion Mundt, Sina David, Arnd Koeppe, Franz Bamer, Wolfgang Potthast, Bernd Markert	1
15	THE INFLUENCE OF FILTER PARAMETERS ON THE PREDICTION ACCURACY OF THE GROUND REACTION FORCE AND JOINT MOMENTS 2019 ·ISBS Proceedings Archive ·Sina David, Marion Mundt, Arnd Koeppe, Franz Bamer, Bernd Markert, Wolfgang Potthast	2
16	Prediction of lower limb joint angles and moments during gait using artificial neural networks 2019 ·Medical & Biological Engineering & Computing ·Marion Mundt, (unknown), (unknown), Arnd Koeppe, Sina David, Franz Bamer, Wolfgang Potthast, Bernd Markert	86
17	Intelligent prediction of kinetic parameters during cutting manoeuvres 2019 ·Medical & Biological Engineering & Computing ·Marion Mundt, Sina David, Arnd Koeppe, Franz Bamer, Bernd Markert, Wolfgang Potthast	16
18	PREDICTION OF JOINT KINETICS BASED ON JOINT KINEMATICS USING ARTIFICIAL NEURAL NETWORKS 2018 ·ISBS Proceedings Archive ·Marion Mundt, Arnd Koeppe, Franz Bamer, Wolfgang Potthast, Bernd Markert	3
19	Neural network representation of a phase‐field model for brittle fracture 2017 ·PAMM ·Arnd Koeppe, Franz Bamer, (unknown), Bernd Markert	10
20	An efficient Monte Carlo simulation strategy based on model order reduction and artificial neural networks 2017 ·PAMM ·Franz Bamer, Arnd Koeppe, Bernd Markert	10

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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