David Zimmerer

1.5k total citations
7 papers, 55 citations indexed

About

David Zimmerer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Zimmerer has authored 7 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Zimmerer's work include COVID-19 diagnosis using AI (2 papers), Anomaly Detection Techniques and Applications (2 papers) and AI in cancer detection (2 papers). David Zimmerer is often cited by papers focused on COVID-19 diagnosis using AI (2 papers), Anomaly Detection Techniques and Applications (2 papers) and AI in cancer detection (2 papers). David Zimmerer collaborates with scholars based in Germany and United States. David Zimmerer's co-authors include Fabian Isensee, Paul F. Jäger, Klaus Maier‐Hein, Simon Köhl, Tobias Roß, Peter Neher, Sebastian Wirkert, Justus Schock, Jakob Wasserthal and André Klein and has published in prestigious journals such as Medical Image Analysis, Computers in Biology and Medicine and FreiDok plus (Universitätsbibliothek Freiburg).

In The Last Decade

David Zimmerer

7 papers receiving 54 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Zimmerer Germany	4	28	23	20	13	7	7	55
A. Sánchez Germany	3	29 1.0×	33 1.4×	34 1.7×	14 1.1×	7 1.0×	4	103
Matthias Perkonigg Austria	4	37 1.3×	17 0.7×	28 1.4×	10 0.8×	3 0.4×	6	65
Celeste Alves Portugal	4	19 0.7×	23 1.0×	16 0.8×	32 2.5×	6 0.9×	6	92
Chandrakanth Jayachandran Preetha Germany	4	40 1.4×	10 0.4×	12 0.6×	7 0.5×	8 1.1×	5	56
Jiang Tian China	5	29 1.0×	25 1.1×	33 1.6×	10 0.8×	9 1.3×	11	56
Ahmed Harouni United States	5	26 0.9×	16 0.7×	17 0.8×	19 1.5×	5 0.7×	6	73
Tony C. W. Mok China	3	26 0.9×	53 2.3×	15 0.8×	19 1.5×	4 0.6×	5	73
Bora Baydar Türkiye	2	33 1.2×	20 0.9×	21 1.1×	10 0.8×	6 0.9×	3	59
Yueyue Wang China	4	38 1.4×	26 1.1×	13 0.7×	23 1.8×	6 0.9×	5	80
Magdalini Paschali United States	6	58 2.1×	17 0.7×	25 1.3×	43 3.3×	7 1.0×	13	114

Countries citing papers authored by David Zimmerer

Since Specialization

Citations

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

Fields of papers citing papers by David Zimmerer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Zimmerer

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

All Works

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7 of 7 papers shown

1.

Zimmerer, David, et al.. (2025). Leveraging foundation models for content-based image retrieval in radiology. Computers in Biology and Medicine. 196(Pt A). 110640–110640. 1 indexed citations

2.

Zenk, Maximilian, David Zimmerer, Fabian Isensee, et al.. (2024). Comparative benchmarking of failure detection methods in medical image segmentation: Unveiling the role of confidence aggregation. Medical Image Analysis. 101. 103392–103392. 4 indexed citations

3.

Koehler, Gregor, Tassilo Wald, Constantin Ulrich, et al.. (2024). RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. FreiDok plus (Universitätsbibliothek Freiburg). 799–807. 1 indexed citations

4.

Isensee, Fabian, Paul F. Jäger, Jakob Wasserthal, et al.. (2020). batchgenerators - a python framework for data augmentation. Zenodo (CERN European Organization for Nuclear Research). 37 indexed citations

5.

Zimmerer, David, Jens Petersen, Paul F. Jäger, et al.. (2020). Medical Out-of-Distribution Analysis Challenge. Zenodo (CERN European Organization for Nuclear Research). 5 indexed citations

6.

Zimmerer, David, Simon Köhl, Jens Petersen, Fabian Isensee, & Klaus Maier‐Hein. (2018). Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. 1 indexed citations

7.

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