Christian Engwer

2.3k total citations
46 papers, 1.3k citations indexed

About

Christian Engwer is a scholar working on Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics. According to data from OpenAlex, Christian Engwer has authored 46 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computational Mechanics, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Computational Theory and Mathematics. Recurrent topics in Christian Engwer's work include Advanced Numerical Methods in Computational Mathematics (14 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Mathematical Biology Tumor Growth (8 papers). Christian Engwer is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (14 papers), Advanced Mathematical Modeling in Engineering (9 papers) and Mathematical Biology Tumor Growth (8 papers). Christian Engwer collaborates with scholars based in Germany, United States and Finland. Christian Engwer's co-authors include Peter Bastian, Robert Klöfkorn, Markus Blatt, Andreas Dedner, Oliver Sander, Mario Ohlberger, Christina Surulescu, Carsten H. Wolters, Ralf Kornhuber and Johannes Vorwerk and has published in prestigious journals such as PLoS ONE, NeuroImage and Journal of Computational Physics.

In The Last Decade

Christian Engwer

44 papers receiving 1.2k citations

Peers

Christian Engwer

CTM

RNMI

Aslak Tveito Norway

Gabriel J. Lord United Kingdom

Giovanni Naldi Italy

Benjamin Kehlet Norway

Gabriel Wittum Germany

Jan Modersitzki Germany

Johan Hake Norway

Weizhong Dai United States

Y.Y. Zeevi Israel

Alessandro Sarti Italy

Aslak Tveito Norway

Christian Engwer

425 ×1.0

190 ×0.9

CTM

74 ×0.4

85 ×0.5

72 ×0.5

RNMI

Citations per year, relative to Christian Engwer Christian Engwer (= 1×) peers Aslak Tveito

Countries citing papers authored by Christian Engwer

Since Specialization

Citations

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

Fields of papers citing papers by Christian Engwer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Engwer

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Engwer. A scholar is included among the top collaborators of Christian Engwer 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 Christian Engwer. Christian Engwer 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

Wallois, Fabrice, Alena Buyx, Sampsa Pursiainen, et al.. (2025). The Local Subtraction Approach for EEG and MEG Forward Modeling. SIAM Journal on Scientific Computing. 47(1). B160–B189.

Wallois, Fabrice, et al.. (2024). CutFEM‐based MEG forward modeling improves source separability and sensitivity to quasi‐radial sources: A somatosensory group study. Human Brain Mapping. 45(11). e26810–e26810. 1 indexed citations

Buyx, Alena, Fabrice Wallois, Sampsa Pursiainen, et al.. (2023). CutFEM forward modeling for EEG source analysis. Frontiers in Human Neuroscience. 17. 1216758–1216758. 5 indexed citations

García-Prieto, Juan, François Tadel, Marios Antonakakis, et al.. (2023). Brainstorm-DUNEuro: An integrated and user-friendly Finite Element Method for modeling electromagnetic brain activity. NeuroImage. 267. 119851–119851. 19 indexed citations

Birke, G, et al.. (2023). DoD Stabilization of linear hyperbolic PDEs on general cut‐cell meshes. PAMM. 23(1). 1 indexed citations

Dzierma, Yvonne, Christian Berdel, Jochen Fleckenstein, et al.. (2021). Feasibility and clinical usefulness of modelling glioblastoma migration in adjuvant radiotherapy. Zeitschrift für Medizinische Physik. 32(2). 149–158. 5 indexed citations

Piastra, Maria Carla, et al.. (2021). DUNEuro—A software toolbox for forward modeling in bioelectromagnetism. PLoS ONE. 16(6). e0252431–e0252431. 31 indexed citations

García-Prieto, Juan, François Tadel, Marios Antonakakis, et al.. (2021). Realistic head modeling of electromagnetic brain activity: an integrated Brainstorm-DUNEuro pipeline from MRI data to the FEM solutions. 135–135. 8 indexed citations

Antonakakis, Marios, et al.. (2020). A novel method for calibrating head models to account for variability in conductivity and its evaluation in a sphere model. Physics in Medicine and Biology. 65(24). 245043–245043. 7 indexed citations

10.

Piastra, Maria Carla, et al.. (2020). A comprehensive study on electroencephalography and magnetoencephalography sensitivity to cortical and subcortical sources. Human Brain Mapping. 42(4). 978–992. 59 indexed citations

11.

Engwer, Christian, et al.. (2018). A realistic, accurate and fast source modeling approach for the EEG forward problem. NeuroImage. 184. 56–67. 31 indexed citations

12.

Luporini, Fabio, et al.. (2018). coneoproject/COFFEE: A Compiler for Fast Expression Evaluation. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

13.

Piastra, Maria Carla, Johannes Vorwerk, Harald Bornfleth, et al.. (2018). The Discontinuous Galerkin Finite Element Method for Solving the MEG and the Combined MEG/EEG Forward Problem. Frontiers in Neuroscience. 12. 30–30. 33 indexed citations

14.

Engwer, Christian, et al.. (2017). Geometric Reconstruction of Implicitly Defined Surfaces and Domains with Topological Guarantees. ACM Transactions on Mathematical Software. 44(2). 1–20. 9 indexed citations

15.

Engwer, Christian, et al.. (2017). A Discontinuous Galerkin Method to Solve the EEG Forward Problem Using the Subtraction Approach. SIAM Journal on Scientific Computing. 39(1). B138–B164. 40 indexed citations

16.

Eigel, Martin, et al.. (2015). Influence of cell shape, inhomogeneities and diffusion barriers in cell polarization models. Physical Biology. 12(6). 66014–66014. 38 indexed citations

17.

Engwer, Christian, et al.. (2015). A multiscale model for glioma spread including cell-tissue interactions and proliferation. Mathematical Biosciences & Engineering. 13(2). 443–460. 39 indexed citations

18.

Engwer, Christian, et al.. (2014). Glioma follow white matter tracts: a multiscale DTI-based model. Journal of Mathematical Biology. 71(3). 551–582. 74 indexed citations

19.

Engwer, Christian, Alexander Hunt, & Christina Surulescu. (2014). Effective equations for anisotropic glioma spread with proliferation: a multiscale approach. Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology). 4 indexed citations

20.

Bastian, Peter, et al.. (2008). Modelling in vitro growth of dense root networks. Journal of Theoretical Biology. 254(1). 99–109. 26 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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