Micha Pfeiffer

444 total citations
19 papers, 240 citations indexed

About

Micha Pfeiffer is a scholar working on Computer Vision and Pattern Recognition, Surgery and Biomedical Engineering. According to data from OpenAlex, Micha Pfeiffer has authored 19 papers receiving a total of 240 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Surgery and 7 papers in Biomedical Engineering. Recurrent topics in Micha Pfeiffer's work include Surgical Simulation and Training (6 papers), Augmented Reality Applications (6 papers) and Anatomy and Medical Technology (5 papers). Micha Pfeiffer is often cited by papers focused on Surgical Simulation and Training (6 papers), Augmented Reality Applications (6 papers) and Anatomy and Medical Technology (5 papers). Micha Pfeiffer collaborates with scholars based in Germany, United States and United Kingdom. Micha Pfeiffer's co-authors include Stefanie Speidel, Jürgen Weitz, Carina Riediger, Matthias Huber, Beat P. Müller‐Stich, Anas Amin Preukschas, Fiona R. Kolbinger, Hannes Kenngott, Georges Hattab and Felix Nickel and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and Medical Image Analysis.

In The Last Decade

Micha Pfeiffer

17 papers receiving 233 citations

Peers

Micha Pfeiffer

SURGE

CVPR

Rafael Palomar Norway

Bong-Jin Koo United Kingdom

Anas Amin Preukschas Germany

Yonghao Long Hong Kong

Egidijus Pelanis Norway

Adrian J. Chung United Kingdom

Sandro-Michael Heining Germany

Menglong Ye United Kingdom

Sylvain Bernhardt France

Puxun Tu China

Rafael Palomar Norway

Micha Pfeiffer

129 ×1.0

SURGE

135 ×1.1

CVPR

165 ×1.6

69 ×2.5

19 ×0.7

Citations per year, relative to Micha Pfeiffer Micha Pfeiffer (= 1×) peers Rafael Palomar

Countries citing papers authored by Micha Pfeiffer

Since Specialization

Citations

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

Fields of papers citing papers by Micha Pfeiffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Micha Pfeiffer

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

All Works

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19 of 19 papers shown

Pfeiffer, Micha, et al.. (2025). Translationale Herausforderungen und klinisches Potenzial von künstlicher Intelligenz in der minimal-invasiven Chirurgie. Die Chirurgie. 96(11). 901–906.

Pfeiffer, Micha, et al.. (2025). Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models. 2280–2290.

Ali, Sharib, Yueming Jin, Lihua Zhang, et al.. (2024). An objective comparison of methods for augmented reality in laparoscopic liver resection by preoperative-to-intraoperative image fusion from the MICCAI2022 challenge. Medical Image Analysis. 99. 103371–103371. 8 indexed citations

Morgenstern, J., Yujia Hu, Lars Kirsten, et al.. (2024). The Dresden in vivo OCT dataset for automatic middle ear segmentation. Scientific Data. 11(1). 242–242. 4 indexed citations

Preukschas, Anas Amin, Micha Pfeiffer, Martin Wagner, et al.. (2024). Comparing a virtual reality head-mounted display to on-screen three-dimensional visualization and two-dimensional computed tomography data for training in decision making in hepatic surgery: a randomized controlled study. Surgical Endoscopy. 38(5). 2483–2496. 3 indexed citations

Pfeiffer, Micha, et al.. (2024). Exploring semantic consistency in unpaired image translation to generate data for surgical applications. International Journal of Computer Assisted Radiology and Surgery. 19(6). 985–993. 6 indexed citations

Xǔ, Jǐnjīng, Ling Wei, Fiona R. Kolbinger, et al.. (2024). SeeSaw: Learning Soft Tissue Deformation From Laparoscopy Videos With GNNs. IEEE Transactions on Biomedical Engineering. 71(12). 3432–3445. 2 indexed citations

Pfeiffer, Micha, et al.. (2022). A Laparoscopic Liver Navigation Pipeline with Minimal Setup Requirements. 578–582. 5 indexed citations

Kenngott, Hannes Götz, Micha Pfeiffer, Anas Amin Preukschas, et al.. (2021). IMHOTEP: cross-professional evaluation of a three-dimensional virtual reality system for interactive surgical operation planning, tumor board discussion and immersive training for complex liver surgery in a head-mounted display. Surgical Endoscopy. 36(1). 126–134. 29 indexed citations

10.

Hattab, Georges, Anna Klimová, Micha Pfeiffer, et al.. (2021). Investigating the utility of VR for spatial understanding in surgical planning: evaluation of head-mounted to desktop display. Scientific Reports. 11(1). 13440–13440. 29 indexed citations

11.

Pfeiffer, Micha, Sebastian Bodenstedt, Fiona R. Kolbinger, et al.. (2021). Simultaneous localisation and mapping for laparoscopic liver navigation : a comparative evaluation study. 8–8. 5 indexed citations

12.

Koo, Bong-Jin, Micha Pfeiffer, Stephen Thompson, et al.. (2021). Automatic, global registration in laparoscopic liver surgery. International Journal of Computer Assisted Radiology and Surgery. 17(1). 167–176. 22 indexed citations

13.

Dall’Alba, Diego, Micha Pfeiffer, Marco Piccinelli, et al.. (2021). Data-Driven Intra-Operative Estimation of Anatomical Attachments for Autonomous Tissue Dissection. IEEE Robotics and Automation Letters. 6(2). 1856–1863. 9 indexed citations

14.

Pfeiffer, Micha, et al.. (2021). Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 3323–3333. 25 indexed citations

15.

Pfeiffer, Micha, Carina Riediger, Jürgen Weitz, & Stefanie Speidel. (2019). Learning soft tissue behavior of organs for surgical navigation with convolutional neural networks. International Journal of Computer Assisted Radiology and Surgery. 14(7). 1147–1155. 53 indexed citations

16.

Pfeiffer, Micha, Hannes Kenngott, Anas Amin Preukschas, et al.. (2018). IMHOTEP: virtual reality framework for surgical applications. International Journal of Computer Assisted Radiology and Surgery. 13(5). 741–748. 29 indexed citations

17.

Loewe, Axel, Tobias Oesterlein, Nicolas Pilia, et al.. (2017). An Interactive Virtual Reality Environment for Analysis of Clinical Atrial Arrhythmias and Ablation Planning. Computing in cardiology. 4 indexed citations

18.

Kuhnt, Florian, et al.. (2016). Robust environment perception for the Audi Autonomous Driving Cup. 1424–1431. 6 indexed citations

19.

Zeitnitz, B., et al.. (1995). Auch Element 111 bei der GSI geglückt/Anomalie im Zeitspektrum von „beam stop”‐Neutrinos/Hochflußreaktor des ILL wieder in Betrieb/Grünes Licht für den Large Hadron Collider/Drei neue Sonderforschungsbereiche aus der Festkörperforschung bewilligt/Männer bevorzugt/VerZaPFtes Allerlei/Theoretischer Wirkungsgrad von Solarzellen höher als gedacht/Wann kommen die Europäer?/EU aktuell/Notizen. Physikalische Blätter. 51(2). 72–126. 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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