Stefan Becker

56 total papers · 440 total citations
24 papers, 323 citations indexed

About

Stefan Becker is a scholar working on Modeling and Simulation, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stefan Becker has authored 24 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 7 papers in Molecular Biology and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stefan Becker's work include Mathematical Biology Tumor Growth (15 papers), Gene Regulatory Network Analysis (6 papers) and Medical Image Segmentation Techniques (6 papers). Stefan Becker is often cited by papers focused on Mathematical Biology Tumor Growth (15 papers), Gene Regulatory Network Analysis (6 papers) and Medical Image Segmentation Techniques (6 papers). Stefan Becker collaborates with scholars based in Germany, United States and Canada. Stefan Becker's co-authors include Elmi Leisner, David H. MacLennan, Vijay K. Khanna, Dirk Pette, Alex Odermatt, Kazimierz Kurzydlowski, Thorsten M. Buzug, Andreas Mang, Alexander Tremel and Klaus Krogmann and has published in prestigious journals such as Journal of Biological Chemistry, Energy Conversion and Management and Medical Physics.

In The Last Decade

Stefan Becker

23 papers receiving 312 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Stefan Becker	182	69	53	35	31	24	323
Sean M. Gross	213 1.2×	28 0.4×	10 0.2×	35 1.0×	28 0.9×	23	312
Xiao Fu	123 0.7×	22 0.3×	20 0.4×	14 0.4×	24 0.8×	27	299
Dongkwan Shin	181 1.0×	9 0.1×	9 0.2×	28 0.8×	9 0.3×	18	350
Richard M. Wasserman	149 0.8×	6 0.1×	36 0.7×	24 0.7×	13 0.4×	14	319
Jim Bosley	157 0.9×	30 0.4×	4 0.1×	22 0.6×	24 0.8×	18	344
Jason M. Graham	71 0.4×	4 0.1×	52 1.0×	25 0.7×	10 0.3×	20	306
Jia Guo	127 0.7×	18 0.3×	4 0.1×	17 0.5×	6 0.2×	37	356
Christina Pao	230 1.3×	13 0.2×	7 0.1×	25 0.7×	17 0.5×	15	349
Ding Ma	209 1.1×	18 0.3×	2 0.0×	14 0.4×	30 1.0×	38	357
Guillemette Chapuisat	73 0.4×	6 0.1×	101 1.9×	21 0.6×	4 0.1×	18	327

Countries citing papers authored by Stefan Becker

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Becker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Becker

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

All Works

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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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