Bodo Erdmann

1.3k total citations
39 papers, 969 citations indexed

About

Bodo Erdmann is a scholar working on Computational Mechanics, Mechanics of Materials and Biomedical Engineering. According to data from OpenAlex, Bodo Erdmann has authored 39 papers receiving a total of 969 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Mechanics, 10 papers in Mechanics of Materials and 10 papers in Biomedical Engineering. Recurrent topics in Bodo Erdmann's work include Advanced Numerical Methods in Computational Mathematics (10 papers), Advanced Mathematical Modeling in Engineering (7 papers) and Numerical methods for differential equations (6 papers). Bodo Erdmann is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (10 papers), Advanced Mathematical Modeling in Engineering (7 papers) and Numerical methods for differential equations (6 papers). Bodo Erdmann collaborates with scholars based in Germany, Austria and Switzerland. Bodo Erdmann's co-authors include Jens Lang, Martin Seebaß, Ralf Kornhuber, Folkmar Bornemann, Cornelia Kober, Christian Hellmich, Peter Deuflhard, Martin Weiser, Piero Colli Franzone and Luca F. Pavarino and has published in prestigious journals such as The Journal of Chemical Physics, Annals of the New York Academy of Sciences and Journal of Biomechanics.

In The Last Decade

Bodo Erdmann

38 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bodo Erdmann Germany 14 336 304 240 169 118 39 969
Mark F. Adams United States 18 287 0.9× 310 1.0× 113 0.5× 82 0.5× 165 1.4× 50 1.4k
Ricardo Ruíz-Baier Chile 23 428 1.3× 1.1k 3.5× 520 2.2× 45 0.3× 495 4.2× 117 2.0k
J. Bialek United States 18 795 2.4× 196 0.6× 275 1.1× 26 0.2× 48 0.4× 45 2.1k
Toni Lassila United Kingdom 14 166 0.5× 249 0.8× 62 0.3× 65 0.4× 66 0.6× 34 828
Jean‐Paul Pelteret Germany 16 257 0.8× 344 1.1× 234 1.0× 25 0.1× 109 0.9× 24 991
Joyce R. McLaughlin United States 25 601 1.8× 73 0.2× 423 1.8× 529 3.1× 553 4.7× 67 2.0k
Hilmi Demı́ray Türkiye 19 491 1.5× 157 0.5× 214 0.9× 35 0.2× 9 0.1× 129 1.6k
Lorenzo Botti Italy 19 157 0.5× 717 2.4× 144 0.6× 95 0.6× 103 0.9× 31 1.4k
Johan Hoffman Sweden 18 85 0.3× 677 2.2× 52 0.2× 44 0.3× 71 0.6× 78 956
Jüri Engelbrecht Estonia 24 248 0.7× 80 0.3× 870 3.6× 33 0.2× 60 0.5× 128 1.9k

Countries citing papers authored by Bodo Erdmann

Since Specialization
Citations

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

Fields of papers citing papers by Bodo Erdmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bodo Erdmann

This figure shows the co-authorship network connecting the top 25 collaborators of Bodo Erdmann. A scholar is included among the top collaborators of Bodo Erdmann 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 Bodo Erdmann. Bodo Erdmann 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.
Schenkl, Sebastian, Holger Muggenthaler, Michael Hubig, et al.. (2017). Automatic CT-based finite element model generation for temperature-based death time estimation: feasibility study and sensitivity analysis. International Journal of Legal Medicine. 131(3). 699–712. 17 indexed citations
2.
Baeyens, Jean‐Pierre, et al.. (2012). In vivo measurement of the 3D kinematics of the temporomandibular joint using miniaturized electromagnetic trackers: technical report. Medical & Biological Engineering & Computing. 51(4). 479–484. 11 indexed citations
3.
Deuflhard, Peter, et al.. (2008). Adaptive finite element simulation of ventricular fibrillation dynamics. Computing and Visualization in Science. 12(5). 201–205. 31 indexed citations
4.
Hellmich, Christian, Cornelia Kober, & Bodo Erdmann. (2007). Micromechanics-Based Conversion of CT Data into Anisotropic Elasticity Tensors, Applied to FE Simulations of a Mandible. Annals of Biomedical Engineering. 36(1). 108–122. 108 indexed citations
5.
Kober, Cornelia, Bodo Erdmann, Christian Hellmich, Robert Sader, & Hans‐Florian Zeilhofer. (2006). Consideration of anisotropic elasticity minimizes volumetric rather than shear deformation in human mandible. Computer Methods in Biomechanics & Biomedical Engineering. 9(2). 91–101. 15 indexed citations
6.
Franzone, Piero Colli, Peter Deuflhard, Bodo Erdmann, Jens Lang, & Luca F. Pavarino. (2006). Adaptivity in Space and Time for Reaction-Diffusion Systems in Electrocardiology. SIAM Journal on Scientific Computing. 28(3). 942–962. 88 indexed citations
7.
Kober, Cornelia, et al.. (2006). Dental versus mandibular biomechanics: the influence of the PDL on the overall structural behaviour. Journal of Biomechanics. 39. S455–S455. 2 indexed citations
8.
Kober, Cornelia, et al.. (2005). Validation of interdependency between inner structure visualization and structural mechanics simulation. International Congress Series. 1281. 1373–1373. 2 indexed citations
9.
Zachow, Stefan, Thomas Hierl, & Bodo Erdmann. (2004). A quantitative evaluation of 3D soft tissue prediction in maxillofacial surgery planning. 8 indexed citations
10.
Lang, Jens & Bodo Erdmann. (2002). THREE-DIMENSIONAL ADAPTIVE COMPUTATION OF BRINE TRANSPORT IN POROUS MEDIA. Numerical Heat Transfer Part A Applications. 42(1-2). 107–119. 6 indexed citations
11.
Lang, Jens, Bodo Erdmann, & Martin Seebaß. (1999). Impact of nonlinear heat transfer on temperature control in regional hyperthermia. IEEE Transactions on Biomedical Engineering. 46(9). 1129–1138. 194 indexed citations
12.
Erdmann, Bodo, Jens Lang, & Martin Seebaß. (1998). Optimization of Temperature Distributions for Regional Hyperthermia Based on a Nonlinear Heat Transfer Modela. Annals of the New York Academy of Sciences. 858(1). 36–46. 57 indexed citations
13.
Erdmann, Bodo, et al.. (1998). The Benefits of Modularization: from KASKADE to KARDOS. 1 indexed citations
14.
Lang, Jens, et al.. (1997). Three-Dimensional Fully Adaptive Solution of Thermo-Diffusive Flame Propagation Problems. 1 indexed citations
15.
Bornemann, Folkmar, Bodo Erdmann, & Ralf Kornhuber. (1996). A Posteriori Error Estimates for Elliptic Problems in Two and Three Space Dimensions. SIAM Journal on Numerical Analysis. 33(3). 1188–1204. 113 indexed citations
16.
Beck, Rudolf, et al.. (1996). An Object-Oriented Adaptive Finite Element Code: Design Issues and Applications in Hyperthermia Treatment Planning.. 105–124. 1 indexed citations
17.
Erdmann, Bodo, et al.. (1993). Adaptive Finite Element Methods for Variational Inequalities. OPUS (Augsburg University). 4 indexed citations
18.
Bornemann, Folkmar, Bodo Erdmann, & Ralf Kornhuber. (1993). Adaptive multivlevel methods in three space dimensions. International Journal for Numerical Methods in Engineering. 36(18). 3187–3203. 100 indexed citations
19.
Erdmann, Bodo, et al.. (1993). Kaskade Manual - Version 2.0.. 3 indexed citations
20.
Bornemann, Folkmar, Bodo Erdmann, & Ralf Kornhuber. (1992). Adaptive Multilevel-Methods in 3-Space Dimensions.. 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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