Marc Fischer

523 total citations
23 papers, 233 citations indexed

About

Marc Fischer is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Marc Fischer has authored 23 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Artificial Intelligence and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Marc Fischer's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Advanced Neural Network Applications (3 papers). Marc Fischer is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Adversarial Robustness in Machine Learning (3 papers) and Advanced Neural Network Applications (3 papers). Marc Fischer collaborates with scholars based in Germany, Switzerland and United Kingdom. Marc Fischer's co-authors include Sergios Gatidis, Tobias Hepp, Bin Yang, Fabian Bamberg, Martin Vechev, Thomas Küstner, Jan Schlechtendahl, Konstantin Nikolaou, Philipp Sommer and G. Reinhard and has published in prestigious journals such as Corrosion Science, Medical Image Analysis and Neural Computing and Applications.

In The Last Decade

Marc Fischer

21 papers receiving 229 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc Fischer Germany 10 67 66 35 26 25 23 233
Alberto Comesaña-Campos Spain 11 21 0.3× 66 1.0× 21 0.6× 15 0.6× 55 2.2× 32 238
Jia Gu China 10 114 1.7× 64 1.0× 165 4.7× 27 1.0× 16 0.6× 35 332
Cristián Castillo-Olea Spain 8 174 2.6× 189 2.9× 56 1.6× 28 1.1× 23 0.9× 19 371
Meghavi Rana India 6 95 1.4× 107 1.6× 45 1.3× 12 0.5× 5 0.2× 11 253
Jinghong Xu China 10 17 0.3× 44 0.7× 18 0.5× 19 0.7× 13 0.5× 36 349
Jordina Torrents‐Barrena Spain 10 112 1.7× 83 1.3× 44 1.3× 8 0.3× 4 0.2× 28 324
Hung N. Pham Vietnam 8 120 1.8× 145 2.2× 57 1.6× 15 0.6× 8 0.3× 19 365
Soroosh Tayebi Arasteh Germany 10 217 3.2× 185 2.8× 84 2.4× 8 0.3× 16 0.6× 25 455
Md Mahbubur Rahman Bangladesh 10 30 0.4× 63 1.0× 21 0.6× 10 0.4× 9 0.4× 40 219

Countries citing papers authored by Marc Fischer

Since Specialization
Citations

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

Fields of papers citing papers by Marc Fischer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Fischer

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Fischer. A scholar is included among the top collaborators of Marc Fischer 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 Marc Fischer. Marc Fischer 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.
Fischer, Marc, et al.. (2024). Classification of Cannabis Strains Based on their Chemical Fingerprint—A Broad Analysis of Chemovars in the German Market. Cannabis and Cannabinoid Research. 10(3). 409–419.
2.
Fischer, Marc, Tobias Hepp, Sergios Gatidis, & Bin Yang. (2023). Self-supervised contrastive learning with random walks for medical image segmentation with limited annotations. Computerized Medical Imaging and Graphics. 104. 102174–102174. 15 indexed citations
3.
Fischer, Marc, et al.. (2023). Prompt tuning for parameter-efficient medical image segmentation. Medical Image Analysis. 91. 103024–103024. 9 indexed citations
4.
Fischer, Marc, Sofia Pappa, Thoralf Niendorf, et al.. (2023). Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study. BMC Medical Imaging. 23(1). 104–104. 2 indexed citations
5.
Rospleszcz, Susanne, Roberto Lorbeer, Jürgen Machann, et al.. (2022). Population‐based cohort imaging: skeletal muscle mass by magnetic resonance imaging in correlation to bioelectrical‐impedance analysis. Journal of Cachexia Sarcopenia and Muscle. 13(2). 976–986. 13 indexed citations
6.
Fischer, Marc, et al.. (2022). Private and Reliable Neural Network Inference. Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. 1663–1677. 10 indexed citations
7.
Schmidt, Alexander, et al.. (2021). Reinforcement learning methods based on GPU accelerated industrial control hardware. Neural Computing and Applications. 33(18). 12191–12207. 4 indexed citations
8.
Fischer, Marc, Sven S. Walter, Tobias Hepp, et al.. (2021). Automated Morphometric Analysis of the Hip Joint on MRI from the German National Cohort Study. Radiology Artificial Intelligence. 3(5). e200213–e200213. 5 indexed citations
9.
Fischer, Marc, et al.. (2021). Scalable Certified Segmentation via Randomized Smoothing. arXiv (Cornell University). 1 indexed citations
10.
Fischer, Marc, et al.. (2021). Weakly supervised segmentation of tumor lesions in PET-CT hybrid imaging. Journal of Medical Imaging. 8(5). 54003–54003. 9 indexed citations
11.
Hepp, Tobias, Marc Fischer, Thomas Kuestner, et al.. (2020). Fully Automated Segmentation and Shape Analysis of the Thoracic Aorta in Non–contrast-enhanced Magnetic Resonance Images of the German National Cohort Study. Journal of Thoracic Imaging. 35(6). 389–398. 15 indexed citations
12.
Küstner, Thomas, Tobias Hepp, Marc Fischer, et al.. (2020). Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies. Radiology Artificial Intelligence. 2(6). e200010–e200010. 30 indexed citations
13.
Fischer, Marc, Mislav Balunović, Dana Drachsler-Cohen, et al.. (2019). DL2: Training and Querying Neural Networks with Logic.. International Conference on Machine Learning. 97. 1931–1941. 26 indexed citations
14.
Mirman, Matthew, Marc Fischer, & Martin Vechev. (2018). Distilled Agent DQN for Provable Adversarial Robustness. 3 indexed citations
15.
Sommer, Philipp, et al.. (2018). Message-oriented Middleware for Industrial Production Systems. 1217–1223. 24 indexed citations
16.
Küstner, Thomas, Marc Fischer, Jakob Weiß, et al.. (2018). Semantic Organ Segmentation in 3D Whole-Body MR Images. Research Portal (King's College London). 3498–3502. 10 indexed citations
17.
Fischer, Marc, W. Gruner, & G. Reinhard. (1975). Zum einfluß des borat-anions auf die elektrochemischen eigenschaften des eisens in Wäßrigen Lösungen. Corrosion Science. 15(5). 279–293. 13 indexed citations
18.
Mitrou, P.S., et al.. (1974). Unreifzellige Leukämien im Krankheitsverlauf des Morbus Hodgkin. DMW - Deutsche Medizinische Wochenschrift. 99(31). 1596–1597. 6 indexed citations
19.
Fischer, Marc, G. Reinhard, & H. Schmidt. (1971). Eine Methode zur Darstellung 35S-markierter Thiole und ihrer Alkylderivate. Isotopenpraxis Isotopes in Environmental and Health Studies. 7(1). 30–32. 2 indexed citations
20.
Fischer, Marc. (1967). Photoreduktion von Ketonen und Ketiminen. Angewandte Chemie. 79(9). 425–425. 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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