Peter Mildenberger

3.6k total citations
129 papers, 2.5k citations indexed

About

Peter Mildenberger is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Peter Mildenberger has authored 129 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Radiology, Nuclear Medicine and Imaging, 45 papers in Pulmonary and Respiratory Medicine and 32 papers in Surgery. Recurrent topics in Peter Mildenberger's work include Radiology practices and education (29 papers), Radiation Dose and Imaging (26 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). Peter Mildenberger is often cited by papers focused on Radiology practices and education (29 papers), Radiation Dose and Imaging (26 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). Peter Mildenberger collaborates with scholars based in Germany, United States and Switzerland. Peter Mildenberger's co-authors include M. Thelen, Hans‐Ulrich Kauczor, Marco Eichelberg, E Martin, Claus Peter Heußel, B. Fischer, Gudula Heußel, Roman Kloeckner, Florian Jungmann and Daniel Pinto dos Santos and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and Gut.

In The Last Decade

Peter Mildenberger

126 papers receiving 2.4k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Peter Mildenberger 941 866 596 339 325 129 2.5k
Jean Jeudy 1.1k 1.2× 787 0.9× 497 0.8× 310 0.9× 247 0.8× 127 2.8k
Baskaran Sundaram 1.1k 1.2× 1.6k 1.9× 349 0.6× 378 1.1× 211 0.6× 62 3.6k
Tobias Heye 1.4k 1.5× 416 0.5× 453 0.8× 424 1.3× 550 1.7× 93 2.6k
B. Gallix 796 0.8× 470 0.5× 749 1.3× 378 1.1× 212 0.7× 99 2.2k
Stefan M. Niehues 695 0.7× 255 0.3× 493 0.8× 386 1.1× 389 1.2× 102 2.1k
Cher Heng Tan 816 0.9× 635 0.7× 364 0.6× 186 0.5× 150 0.5× 108 2.1k
T K Egglin 1.1k 1.2× 1.0k 1.2× 938 1.6× 204 0.6× 157 0.5× 41 3.1k
Harrison X. Bai 1.4k 1.4× 450 0.5× 683 1.1× 150 0.4× 246 0.8× 51 2.5k
Carol C. Wu 1.8k 1.9× 1.9k 2.2× 587 1.0× 266 0.8× 417 1.3× 156 4.2k
Elmar Kotter 1.4k 1.5× 674 0.8× 775 1.3× 186 0.5× 727 2.2× 112 2.7k

Countries citing papers authored by Peter Mildenberger

Since Specialization
Citations

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

Fields of papers citing papers by Peter Mildenberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Mildenberger

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Mildenberger. A scholar is included among the top collaborators of Peter Mildenberger 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 Peter Mildenberger. Peter Mildenberger 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.
Herber, Silvani, Lukáš Müller, Daniel Santos, et al.. (2025). Diagnostic performance of artificial intelligence models for pulmonary nodule classification: a multi-model evaluation. European Radiology. 36(1). 537–547.
2.
Santos, Daniel Pinto dos, et al.. (2023). ESR paper on structured reporting in radiology—update 2023. Insights into Imaging. 14(1). 199–199. 22 indexed citations
3.
Kämpgen, Benedikt, et al.. (2023). Efficient structured reporting in radiology using an intelligent dialogue system based on speech recognition and natural language processing. Insights into Imaging. 14(1). 47–47. 18 indexed citations
4.
Halfmann, Moritz C., Daniel Pinto dos Santos, Roman Kloeckner, et al.. (2023). Implementation of structured reporting in clinical routine: a review of 7 years of institutional experience. Insights into Imaging. 14(1). 61–61. 11 indexed citations
5.
Mildenberger, Peter, et al.. (2023). Interdisziplinäre Besprechungen. Die Radiologie. 63(2). 103–109. 1 indexed citations
6.
Stoehr, Fabian, Benedikt Kämpgen, Lukáš Müller, et al.. (2023). Natural language processing for automatic evaluation of free-text answers — a feasibility study based on the European Diploma in Radiology examination. Insights into Imaging. 14(1). 150–150. 2 indexed citations
7.
Halfmann, Moritz C., René Mager, Daniel Pinto dos Santos, et al.. (2023). Structured reporting in radiology enables epidemiological analysis through data mining: urolithiasis as a use case. Abdominal Radiology. 48(11). 3520–3529. 3 indexed citations
8.
Jungmann, Florian, Lukáš Müller, Felix Hähn, et al.. (2021). Commercial AI solutions in detecting COVID-19 pneumonia in chest CT: not yet ready for clinical implementation?. European Radiology. 32(5). 3152–3160. 7 indexed citations
9.
Jungmann, Florian, Felix Hähn, Daniel Pinto dos Santos, et al.. (2020). Attitudes Toward Artificial Intelligence Among Radiologists, IT Specialists, and Industry. Academic Radiology. 28(6). 834–840. 67 indexed citations
10.
Jungmann, Florian, et al.. (2017). Multidetector Computed Tomography Angiography (MD-CTA) of Coronary Artery Bypass Grafts – Update 2017. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 190(3). 237–249. 9 indexed citations
11.
Lexa, Frank J., Geraldine McGinty, Erika Denton, et al.. (2014). International Perspectives on Radiology Practice Metrics: Australia, France, Germany, Japan, New Zealand, Spain, the UK and USA. Journal of the American College of Radiology. 11(11). 1081–1086. 2 indexed citations
12.
Mildenberger, Peter. (2013). IHE (Integrating the Healthcare Enterprise) für die Radiologie – Status 2013. Der Radiologe. 53(2). 149–152. 8 indexed citations
13.
Sgourakis, George, Ines Gockel, Orestis Lyros, et al.. (2011). Detection of lymph node metastases in esophageal cancer. Expert Review of Anticancer Therapy. 11(4). 601–612. 49 indexed citations
14.
Kauczor, Hans‐Ulrich, et al.. (2002). CT attenuation of paired HRCT scans obtained at full inspiratory/expiratory position: comparison with pulmonary function tests. European Radiology. 12(11). 2757–2763. 64 indexed citations
15.
Willershausen, Brita, et al.. (2001). Periodontal probing in comparison to diagnosis by CT-Scan. International Dental Journal. 51(5). 339–347. 19 indexed citations
16.
Mildenberger, Peter, et al.. (1999). Verwendung des DICOM- Standards in heterogener Umgebung Inkompatibilität oder Interoperabilität?. Der Radiologe. 39(4). 282–285. 3 indexed citations
17.
Schunk, K., et al.. (1997). Dynamic Phosphorus-31 Magnetic Resonance Spectroscopy in Arterial Occlusive Disease. Investigative Radiology. 32(11). 651–659. 15 indexed citations
18.
Wolcke, Benno, et al.. (1996). Phantomuntersuchung zur Optimierung der Spiral-CT und 3 D-Rekonstruktion des Tracheobronchialsystems. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 165(12). 574–577. 1 indexed citations
19.
20.
Mildenberger, Peter, et al.. (1988). [Detection of superior mesenteric vein thrombosis following splenectomy using real-time and Doppler sonography].. PubMed. 28(8). 395–8. 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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