Marcel Zefferer

1.5k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Marcel Zefferer is a scholar working on Biomedical Engineering, Biophysics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Marcel Zefferer has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Biophysics and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Marcel Zefferer's work include Electromagnetic Fields and Biological Effects (5 papers), Wireless Body Area Networks (4 papers) and 3D Shape Modeling and Analysis (2 papers). Marcel Zefferer is often cited by papers focused on Electromagnetic Fields and Biological Effects (5 papers), Wireless Body Area Networks (4 papers) and 3D Shape Modeling and Analysis (2 papers). Marcel Zefferer collaborates with scholars based in Switzerland, Netherlands and Germany. Marcel Zefferer's co-authors include Niels Kuster, Andreas Christ, Dominik Szczerba, Esra Neufeld, Berthold Kiefer, Anthony Kam, Eckhart G. Hahn, Ji Chen, Peter Schmitt and Michael Oberle and has published in prestigious journals such as Physics in Medicine and Biology, Health Physics and Bioelectromagnetics.

In The Last Decade

Marcel Zefferer

9 papers receiving 1.2k citations

Hit Papers

The Virtual Family—development of surface-based anatomica... 2009 2026 2014 2020 2009 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcel Zefferer Switzerland 6 763 525 487 395 132 9 1.2k
Joshua Guag United States 8 812 1.1× 541 1.0× 451 0.9× 432 1.1× 137 1.0× 21 1.3k
Dominik Szczerba Switzerland 12 995 1.3× 728 1.4× 548 1.1× 485 1.2× 170 1.3× 28 1.8k
P J Dimbylow United Kingdom 25 1.3k 1.7× 459 0.9× 1.3k 2.7× 700 1.8× 107 0.8× 50 2.0k
Marie‐Christine Gosselin Switzerland 12 475 0.6× 245 0.5× 397 0.8× 259 0.7× 34 0.3× 18 803
Azadeh Peyman United Kingdom 15 1.3k 1.6× 186 0.4× 512 1.1× 927 2.3× 39 0.3× 30 1.8k
Luca Zilberti Italy 15 409 0.5× 370 0.7× 195 0.4× 281 0.7× 56 0.4× 104 775
Adnan Trakic Australia 16 292 0.4× 398 0.8× 137 0.3× 160 0.4× 95 0.7× 55 693
H. Bassen United States 16 480 0.6× 411 0.8× 290 0.6× 400 1.0× 77 0.6× 62 1.1k
Valentina Hartwig Italy 16 238 0.3× 519 1.0× 231 0.5× 141 0.4× 87 0.7× 79 884
Leonardo M. Angelone United States 23 504 0.7× 914 1.7× 171 0.4× 216 0.5× 81 0.6× 56 1.5k

Countries citing papers authored by Marcel Zefferer

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Zefferer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Zefferer

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

All Works

9 of 9 papers shown
1.
Christ, Andreas, Marcel Zefferer, N. Chavannes, et al.. (2014). Quantification Of RF-exposure of the Fetus Using Anatomical CAD-Models in Three Different Gestational Stages. Health Physics. 107(5). 369–381. 8 indexed citations
2.
Christ, Andreas, et al.. (2012). Exposure of the Human Body to Professional and Domestic Induction Cooktops Compared to the Basic Restrictions. Bioelectromagnetics. 33(8). 695–705. 45 indexed citations
3.
Gosselin, Marie‐Christine, Sven Kühn, Andreas Christ, et al.. (2012). Experimental Evaluation of the SAR Induced in Head Phantoms of Three- and Eight-Year-Old Children. IEICE Transactions on Communications. E95.B(10). 3215–3224. 3 indexed citations
4.
Szczerba, Dominik, et al.. (2011). FEM based morphing of whole body human models. 1–3. 2 indexed citations
5.
Gosselin, Marie‐Christine, et al.. (2011). Estimation of head tissue‐specific exposure from mobile phones based on measurements in the homogeneous SAM head. Bioelectromagnetics. 32(6). 493–505. 13 indexed citations
6.
Neufeld, Esra, et al.. (2011). Fast interpolation based morphing of whole body human models. 1–3. 2 indexed citations
7.
Zefferer, Marcel, et al.. (2010). Novel methodology to characterize electromagnetic exposure of the brain. Physics in Medicine and Biology. 56(2). 383–396. 9 indexed citations
8.
Szczerba, Dominik, Esra Neufeld, Marcel Zefferer, Gábor Székely, & Niels Kuster. (2010). Unstructured mesh generation from the Virtual Family models for whole body biomedical simulations. Procedia Computer Science. 1(1). 837–844. 7 indexed citations
9.
Christ, Andreas, Wolfgang Kainz, Eckhart G. Hahn, et al.. (2009). The Virtual Family—development of surface-based anatomical models of two adults and two children for dosimetric simulations. Physics in Medicine and Biology. 55(2). N23–N38. 1130 indexed citations breakdown →

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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