Andreas Biesdorf

544 total citations
27 papers, 328 citations indexed

About

Andreas Biesdorf is a scholar working on Information Systems, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Andreas Biesdorf has authored 27 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 8 papers in Artificial Intelligence and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Andreas Biesdorf's work include Software Engineering Research (10 papers), Advanced Software Engineering Methodologies (7 papers) and Medical Image Segmentation Techniques (4 papers). Andreas Biesdorf is often cited by papers focused on Software Engineering Research (10 papers), Advanced Software Engineering Methodologies (7 papers) and Medical Image Segmentation Techniques (4 papers). Andreas Biesdorf collaborates with scholars based in Germany, Switzerland and United States. Andreas Biesdorf's co-authors include Michael Erhart, Karl Hörmann, Angela Wenzel, Boris A. Stuck, Manfred Hülse, Stefan Wörz, Uwe Hohenstein, Florian Matthes, Moritz Felcht and Andrew V. Benest and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the Association for Information Systems and Medical Image Analysis.

In The Last Decade

Andreas Biesdorf

27 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreas Biesdorf Germany 9 89 67 50 50 49 27 328
Chenjie Yu China 13 75 0.8× 186 2.8× 17 0.3× 176 3.5× 8 0.2× 56 635
Gibeom Park South Korea 8 75 0.8× 103 1.5× 7 0.1× 146 2.9× 4 0.1× 12 386
Osório Lopes Abath Neto Brazil 12 42 0.5× 150 2.2× 28 0.6× 17 0.3× 55 1.1× 35 442
Melih Tütüncü Türkiye 13 81 0.9× 120 1.8× 9 0.2× 5 0.1× 29 0.6× 54 1.0k
Fahad Mahmood United Kingdom 13 38 0.4× 185 2.8× 2 0.0× 5 0.1× 23 0.5× 40 640
Shenghua Liu China 10 40 0.4× 74 1.1× 5 0.1× 49 1.0× 80 1.6× 21 311
Yiya Yang China 15 11 0.1× 437 6.5× 31 0.6× 5 0.1× 13 0.3× 39 731
Hai‐Yan Nan China 13 223 2.5× 70 1.0× 2 0.0× 13 0.3× 29 0.6× 26 837
Yankai Zhang United States 9 14 0.2× 269 4.0× 8 0.2× 15 0.3× 4 0.1× 36 614
Chris Fry United Kingdom 9 6 0.1× 91 1.4× 27 0.5× 37 0.7× 14 0.3× 20 495

Countries citing papers authored by Andreas Biesdorf

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Biesdorf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Biesdorf

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Biesdorf. A scholar is included among the top collaborators of Andreas Biesdorf 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 Andreas Biesdorf. Andreas Biesdorf 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.
2.
Neuhuber, Winfried, et al.. (2020). Multimodal control of neck muscles for vestibular mediated head oscillation damping during walking: a pilot study. European Archives of Oto-Rhino-Laryngology. 278(10). 3801–3811. 2 indexed citations
3.
Braun, Daniel, et al.. (2020). Would You Lie To Me Bot? Supporting Decision-Making Processes with Deceiving Virtual Agents. Procedia Computer Science. 177. 587–592. 3 indexed citations
4.
Biesdorf, Andreas, et al.. (2019). Prävalenz peripher-vestibulärer Erkrankungen bei Kindern in Deutschland. HNO. 68(5). 360–366. 4 indexed citations
5.
Biesdorf, Andreas, et al.. (2018). Uncertainty expressions in software architecture group decision making. 1–8. 1 indexed citations
6.
Biesdorf, Andreas, Karl Hörmann, Boris A. Stuck, et al.. (2018). Peripheral Vestibular Disorders: An Epidemiologic Survey in 70 Million Individuals. Otology & Neurotology. 40(1). 88–95. 93 indexed citations
7.
8.
Biesdorf, Andreas, et al.. (2018). Decision Making and Cognitive Biases in Designing Software Architectures. 52–55. 6 indexed citations
9.
Biesdorf, Andreas, et al.. (2017). An Ontology-based Approach for Software Architecture Recommendations. Journal of the Association for Information Systems. 5 indexed citations
10.
Wörz, Stefan, Matthias Hahn, Andreas Biesdorf, et al.. (2016). A spherical harmonics intensity model for 3D segmentation and 3D shape analysis of heterochromatin foci. Medical Image Analysis. 32. 18–31. 8 indexed citations
11.
Biesdorf, Andreas, et al.. (2016). Meta-model based framework for architectural knowledge management. 1–7. 5 indexed citations
12.
Biesdorf, Andreas, Stefan Wörz, Hendrik von Tengg‐Kobligk, Karl Rohr, & Christoph Schnörr. (2015). 3D segmentation of vessels by incremental implicit polynomial fitting and convex optimization. 16. 1540–1543. 5 indexed citations
13.
Müller–Eschner, Matthias, Andreas Biesdorf, Stefan Wörz, et al.. (2014). 3D morphometry using automated aortic segmentation in native MR angiography: an alternative to contrast enhanced MRA?. PubMed. 4(2). 80–7. 5 indexed citations
14.
Weber, Tim Frederik, Andreas Biesdorf, Stefan Wörz, et al.. (2013). True four-dimensional analysis of thoracic aortic displacement and distension using model-based segmentation of computed tomography angiography. International journal of cardiac imaging. 30(1). 185–194. 20 indexed citations
15.
Biesdorf, Andreas, Karl Rohr, Feng Duan, et al.. (2012). Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration. Medical Image Analysis. 16(6). 1187–1201. 20 indexed citations
16.
Biesdorf, Andreas, Stefan Wörz, Tim Frederik Weber, et al.. (2011). Model-Based Segmentation and Motion Analysis of the Thoracic Aorta from 4D ECG-Gated CTA Images. Lecture notes in computer science. 14(Pt 1). 589–596. 7 indexed citations
17.
Biesdorf, Andreas, Karl Rohr, Hendrik von Tengg‐Kobligk, & Stefan Wörz. (2010). Combined Model-Based Segmentation and Elastic Registration for Accurate Quantification of the Aortic Arch. Lecture notes in computer science. 13(Pt 1). 444–451. 1 indexed citations
18.
Thomas, Markus, Moritz Felcht, Karoline Kruse, et al.. (2010). Angiopoietin-2 Stimulation of Endothelial Cells Induces αvβ3 Integrin Internalization and Degradation. Journal of Biological Chemistry. 285(31). 23842–23849. 82 indexed citations
19.
Biesdorf, Andreas, Stefan Wörz, H. Kaiser, Christoph Stippich, & Karl Rohr. (2009). Hybrid Spline-Based Multimodal Registration Using Local Measures for Joint Entropy and Mutual Information. Lecture notes in computer science. 12(Pt 1). 607–615. 11 indexed citations
20.
Biesdorf, Andreas, Stefan Wörz, Hendrik von Tengg‐Kobligk, & K. Rohr. (2009). Automatic detection of supraaortic branches and model-based segmentation of the aortic arch froM 3D CTA images. 33. 486–489. 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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