Ulrich Bick

7.2k total citations
123 papers, 4.1k citations indexed

About

Ulrich Bick is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Ulrich Bick has authored 123 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Radiology, Nuclear Medicine and Imaging, 47 papers in Pulmonary and Respiratory Medicine and 39 papers in Artificial Intelligence. Recurrent topics in Ulrich Bick's work include Digital Radiography and Breast Imaging (40 papers), AI in cancer detection (39 papers) and MRI in cancer diagnosis (31 papers). Ulrich Bick is often cited by papers focused on Digital Radiography and Breast Imaging (40 papers), AI in cancer detection (39 papers) and MRI in cancer diagnosis (31 papers). Ulrich Bick collaborates with scholars based in Germany, United States and Netherlands. Ulrich Bick's co-authors include Maryellen L. Giger, Weijie Chen, Felix Diekmann, Gillian M. Newstead, Eva Maria Fallenberg, F. Engelken, Bernd Hamm, Diane M. Renz, Hui Li and Kenneth G. A. Gilhuijs and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PEDIATRICS.

In The Last Decade

Ulrich Bick

120 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulrich Bick Germany 33 2.4k 1.4k 1.2k 508 477 123 4.1k
Kenneth G. A. Gilhuijs Netherlands 37 2.8k 1.2× 721 0.5× 779 0.6× 1.5k 2.9× 949 2.0× 117 4.4k
Jules H. Sumkin United States 33 2.0k 0.8× 2.2k 1.5× 1.9k 1.5× 448 0.9× 474 1.0× 118 3.8k
Debra M. Ikeda United States 41 2.7k 1.1× 1.4k 1.0× 1.2k 1.0× 1.4k 2.7× 1.8k 3.8× 154 5.3k
Despina Kontos United States 32 2.0k 0.8× 1.7k 1.2× 1.5k 1.2× 387 0.8× 143 0.3× 183 3.4k
Marie A. Ganott United States 28 1.8k 0.8× 1.6k 1.1× 1.5k 1.2× 496 1.0× 466 1.0× 63 3.1k
Jeon‐Hor Chen Taiwan 34 2.4k 1.0× 1.2k 0.8× 655 0.5× 472 0.9× 428 0.9× 128 3.5k
Laurie L. Fajardo United States 32 2.1k 0.9× 1.9k 1.4× 2.0k 1.7× 1.0k 2.0× 1.1k 2.4× 132 5.2k
Mark Rosen United States 46 3.9k 1.6× 604 0.4× 1.9k 1.6× 1.1k 2.2× 797 1.7× 178 7.8k
Edward Hendrick United States 7 993 0.4× 1.1k 0.8× 1.2k 1.0× 563 1.1× 507 1.1× 11 3.1k
Caroline Boggis United Kingdom 22 1.1k 0.5× 1.3k 1.0× 552 0.5× 423 0.8× 412 0.9× 57 3.0k

Countries citing papers authored by Ulrich Bick

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Bick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Bick

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Bick. A scholar is included among the top collaborators of Ulrich Bick 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 Ulrich Bick. Ulrich Bick 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
2.
Bick, Ulrich, et al.. (2023). Development and validation of a four-dimensional registration technique for DCE breast MRI. Insights into Imaging. 14(1). 17–17. 4 indexed citations
3.
Müller‐Schimpfle, Markus, et al.. (2014). AG Mamma – Konsensustreffen der Kursleiter in der Mammadiagnostik am 04.05.2013 in Frankfurt am Main - Standards in Technik und Befundung. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 186(4). 410–416. 2 indexed citations
4.
Mertzanidou, Thomy, John H. Hipwell, Lianghao Han, et al.. (2014). MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. Medical Image Analysis. 18(4). 674–683. 24 indexed citations
5.
Fallenberg, Eva Maria, Clarisse Dromain, Felix Diekmann, et al.. (2014). Contrast-enhanced spectral mammography: Does mammography provide additional clinical benefits or can some radiation exposure be avoided?. Breast Cancer Research and Treatment. 146(2). 371–381. 88 indexed citations
6.
Engelken, F., et al.. (2012). Intraoperative Specimen Radiography in Patients with Nonpalpable Malignant Breast Lesions. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 184(7). 635–642. 14 indexed citations
7.
Engelken, F., Ingolf Sack, Dieter Klatt, et al.. (2011). Evaluation of tomosynthesis elastography in a breast-mimicking phantom. European Journal of Radiology. 81(9). 2169–2173. 11 indexed citations
8.
Hegenscheid, Katrin, Wolfgang Hoffmann, Martin Domín, et al.. (2011). Telephone Counseling and Attendance in a National Mammography-Screening Program. American Journal of Preventive Medicine. 41(4). 421–427. 20 indexed citations
9.
Poellinger, Alexander, Ulrich Bick, Torsten Freund, et al.. (2007). Evaluation of 11-Gauge and 9-Gauge Vacuum-Assisted Breast Biopsy Systems in a Breast Parenchymal Model. Academic Radiology. 14(6). 677–684. 7 indexed citations
10.
Chen, Weijie, Maryellen L. Giger, Lan Li, & Ulrich Bick. (2004). Computerized interpretation of breast MRI: Investigation of enhancement‐variance dynamics. Medical Physics. 31(5). 1076–1082. 155 indexed citations
11.
Diekmann, Felix, S. Diekmann, Matthias Taupitz, et al.. (2003). Use of Iodine-based Contrast Media in Digital Full-field Mammography - Initial Experience. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 175(3). 342–345. 30 indexed citations
12.
Rogalla, Patrik, et al.. (2000). Tissue transition projection (TTP) of the intestines. European Radiology. 10(5). 806–810. 9 indexed citations
13.
Bick, Ulrich. (2000). Digitale Vollfeldmammographie. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 172(12). 957–964. 14 indexed citations
14.
Gilhuijs, Kenneth G. A., Maryellen L. Giger, & Ulrich Bick. (1998). Computerized analysis of breast lesions in three dimensions using dynamic magnetic‐resonance imaging. Medical Physics. 25(9). 1647–1654. 150 indexed citations
15.
Bick, Ulrich, et al.. (1996). Produkt des Monats: Der Schering-Atlas Schnittbildanatomie in CT und MR. Der Radiologe. 36(2). 172–173. 2 indexed citations
16.
Bick, Ulrich, et al.. (1996). Density correction of peripheral breast tissue on digital mammograms.. Radiographics. 16(6). 1403–1411. 33 indexed citations
17.
Ullrich, Kurt, B. Fünders, J. Weglage, et al.. (1995). Magnetic resonance imaging and proton spectroscopy in PKU. Max Planck Institute for Plasma Physics. 10(1). 95–99. 4 indexed citations
18.
Schuierer, Gerhard, Gerhard Kurlemann, Ulrich Bick, & Ulrich Stephani. (1995). Molybdenum-Cofactor Deficiency: CT and MR Findings. Neuropediatrics. 26(1). 51–54. 19 indexed citations
19.
Bick, Ulrich, Kurt Ullrich, Harald E. Möller, et al.. (1993). White matter abnormalities in patients with treated hyperphenylalaninaemia: Magnetic resonance relaxometry and proton spectroscopy findings. European Journal of Pediatrics. 152(12). 1012–1020. 86 indexed citations
20.
Ludolph, Albert C., et al.. (1991). Functional and morphological deficits in late-treated patients with homocystinuria: a clinical, electrophysiologic and MRI study. Acta Neurologica Scandinavica. 83(3). 161–165. 18 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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