Alexander Schlaefer

2.8k total citations
175 papers, 1.6k citations indexed

About

Alexander Schlaefer is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Radiation. According to data from OpenAlex, Alexander Schlaefer has authored 175 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 79 papers in Radiology, Nuclear Medicine and Imaging, 76 papers in Biomedical Engineering and 44 papers in Radiation. Recurrent topics in Alexander Schlaefer's work include Advanced Radiotherapy Techniques (44 papers), Optical Coherence Tomography Applications (30 papers) and Soft Robotics and Applications (27 papers). Alexander Schlaefer is often cited by papers focused on Advanced Radiotherapy Techniques (44 papers), Optical Coherence Tomography Applications (30 papers) and Soft Robotics and Applications (27 papers). Alexander Schlaefer collaborates with scholars based in Germany, United States and Netherlands. Alexander Schlaefer's co-authors include Achim Schweikard, Floris Ernst, Nils Gessert, Ralf Bruder, Lars Richter, Robert Dürichen, Christoph Fürweger, René Werner, Thilo Sentker and Rüdiger Schmitz and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Alexander Schlaefer

158 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Schlaefer Germany 22 659 527 516 396 233 175 1.6k
Bulat Ibragimov Denmark 26 1.2k 1.9× 913 1.7× 416 0.8× 314 0.8× 533 2.3× 76 2.5k
Jason Dowling Australia 24 1.7k 2.6× 662 1.3× 1.1k 2.2× 550 1.4× 381 1.6× 129 2.7k
Liyuan Chen China 22 833 1.3× 376 0.7× 423 0.8× 321 0.8× 266 1.1× 89 1.5k
Tzung-Chi Huang Taiwan 21 658 1.0× 263 0.5× 315 0.6× 380 1.0× 109 0.5× 63 1.2k
Tina Kapur United States 25 947 1.4× 586 1.1× 184 0.4× 286 0.7× 238 1.0× 77 2.2k
Xiaokun Liang China 18 910 1.4× 506 1.0× 248 0.5× 237 0.6× 181 0.8× 71 1.3k
Annette Haworth Australia 28 1.4k 2.1× 387 0.7× 1.5k 2.8× 1.4k 3.4× 230 1.0× 143 2.7k
Alfred M. Franz Germany 16 538 0.8× 534 1.0× 202 0.4× 199 0.5× 143 0.6× 51 1.7k
Abdel Aziz Taha Germany 8 935 1.4× 460 0.9× 156 0.3× 331 0.8× 410 1.8× 11 2.3k
Dan Nguyen United States 30 1.7k 2.6× 601 1.1× 1.7k 3.2× 1.1k 2.7× 359 1.5× 120 2.8k

Countries citing papers authored by Alexander Schlaefer

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Schlaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Schlaefer

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Schlaefer. A scholar is included among the top collaborators of Alexander Schlaefer 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 Alexander Schlaefer. Alexander Schlaefer 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.
Krüger, Julia, et al.. (2025). Guided reconstruction with conditioned diffusion models for unsupervised anomaly detection in brain MRIs. Computers in Biology and Medicine. 186. 109660–109660. 4 indexed citations
2.
Häußler, Sophia Marie, et al.. (2025). Automatic Segmentation of Vestibular Schwannoma From MRI Using Two Cascaded Deep Learning Networks. The Laryngoscope. 135(4). 1301–1308.
4.
Schlaefer, Alexander, et al.. (2024). PolypNextLSTM: a lightweight and fast polyp video segmentation network using ConvNext and ConvLSTM. International Journal of Computer Assisted Radiology and Surgery. 19(10). 2111–2119. 3 indexed citations
6.
Gerlach, Stefan, Frank‐André Siebert, & Alexander Schlaefer. (2023). Robust stochastic optimization of needle configurations for robotic HDR prostate brachytherapy. Medical Physics. 51(1). 464–475. 2 indexed citations
7.
Gerlach, Stefan, et al.. (2023). A Miniature Dual-Fiber Probe for Quantitative Optical Coherence Elastography. IEEE Transactions on Biomedical Engineering. 70(11). 3064–3072. 5 indexed citations
8.
Gerlach, Stefan, et al.. (2023). Real-Time Motion Analysis With 4D Deep Learning for Ultrasound-Guided Radiotherapy. IEEE Transactions on Biomedical Engineering. 70(9). 2690–2699. 5 indexed citations
9.
Gerlach, Stefan, et al.. (2023). Automated isocenter optimization approach for treatment planning for gyroscopic radiosurgery. Medical Physics. 50(8). 5212–5221. 1 indexed citations
10.
Gerlach, Stefan, Antonia Fitzek, Inga Kniep, et al.. (2022). Robotic Tissue Sampling for Safe Post-Mortem Biopsy in Infectious Corpses. IEEE Transactions on Medical Robotics and Bionics. 4(1). 94–105. 8 indexed citations
11.
Gerlach, Stefan, et al.. (2022). AI-based optimization for US-guided radiation therapy of the prostate. International Journal of Computer Assisted Radiology and Surgery. 17(11). 2023–2032.
12.
Gerlach, Stefan & Alexander Schlaefer. (2022). Robotic Systems in Radiotherapy and Radiosurgery. tub.dok (Hamburg University of Technology). 3(1). 9–19. 7 indexed citations
13.
Bockmayr, Michael, et al.. (2021). Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets. 10–10. 9 indexed citations
14.
Gessert, Nils, et al.. (2020). 4D spatio-temporal convolutional networks for object position estimation in OCT volumes. SHILAP Revista de lepidopterología. 3 indexed citations
15.
Gessert, Nils, et al.. (2020). Spatio-temporal deep learning methods for motion estimation using 4D OCT image data. PUBLISSO (German National Library of Medicine). 6 indexed citations
16.
Gessert, Nils, Roland Opfer, Ann‐Christin Ostwaldt, et al.. (2020). 4D Deep Learning for Multiple Sclerosis Lesion Activity Segmentation. 1 indexed citations
17.
Schupp, Sibylle, et al.. (2015). Evaluation des Einflusses von Artefakten auf den Korrelationsfehler in der bewegungskompensierten Radiochirurgie.. 133–138. 1 indexed citations
18.
Schupp, Sibylle, et al.. (2015). Comparing Model-free Motion Prediction and On-line Model Checking for Respiratory Motion Management.. tub.dok (Hamburg University of Technology). 15–18. 1 indexed citations
19.
Schlaefer, Alexander, et al.. (2011). Robotic Sailing: Proceedings of the 4th International Robotic Sailing Conference. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations
20.
Richter, Lars, Ralf Bruder, Alexander Schlaefer, & Achim Schweikard. (2011). Realisierung einer schnellen und wiederholbaren Hot-Spot-Bestimmung für die robotergestützte Transkranielle Magnetstimulation mittels Kraft-Momenten-Steuerung.. 31–34. 1 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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