Patrick Schelb

659 total citations · 1 hit paper
6 papers, 483 citations indexed

About

Patrick Schelb is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Patrick Schelb has authored 6 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 6 papers in Radiology, Nuclear Medicine and Imaging and 0 papers in Infectious Diseases. Recurrent topics in Patrick Schelb's work include Prostate Cancer Diagnosis and Treatment (6 papers), Prostate Cancer Treatment and Research (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Patrick Schelb is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (6 papers), Prostate Cancer Treatment and Research (6 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Patrick Schelb collaborates with scholars based in Germany, China and United States. Patrick Schelb's co-authors include David Bonekamp, Markus Hohenfellner, Manuel Wiesenfarth, Jan Philipp Radtke, Tristan Anselm Kuder, Klaus Maier‐Hein, Philipp Kickingereder, Simon Köhl, Albrecht Stenzinger and Heinz-Peter Schlemmer and has published in prestigious journals such as Radiology, European Radiology and Magnetic Resonance Imaging.

In The Last Decade

Patrick Schelb

6 papers receiving 479 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment

2019 230 citations Patrick Schelb, Simon Köhl et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patrick Schelb Germany	6	379	355	99	68	38	6	483
Ahmad Algohary United States	8	367 1.0×	274 0.8×	75 0.8×	84 1.2×	16 0.4×	16	440
Sergei V. Fotin United States	9	203 0.5×	176 0.5×	165 1.7×	59 0.9×	50 1.3×	15	335
Xinran Zhong United States	8	266 0.7×	224 0.6×	140 1.4×	82 1.2×	95 2.5×	24	422
Amirhossein Mohammadian Bajgiran United States	13	330 0.9×	501 1.4×	95 1.0×	43 0.6×	51 1.3×	16	646
Oscar A. Debats Netherlands	10	313 0.8×	441 1.2×	154 1.6×	105 1.5×	193 5.1×	18	655
Émilie Niaf France	7	352 0.9×	472 1.3×	82 0.8×	53 0.8×	63 1.7×	8	597
George Redmond United States	3	220 0.6×	151 0.4×	77 0.8×	58 0.9×	43 1.1×	3	269
Christina A. Hulsbergen ‐ van de Kaa Netherlands	6	162 0.4×	135 0.4×	87 0.9×	33 0.5×	47 1.2×	6	343
Xinzhi Teng Hong Kong	12	281 0.7×	98 0.3×	49 0.5×	76 1.1×	39 1.0×	41	356
Yingpu Cui China	10	195 0.5×	150 0.4×	24 0.2×	99 1.5×	27 0.7×	16	285

Countries citing papers authored by Patrick Schelb

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Schelb

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Schelb

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Schelb, Patrick, Simon Köhl, Jan Philipp Radtke, et al.. (2021). Improvement of PI-RADS-dependent prostate cancer classification by quantitative image assessment using radiomics or mean ADC. Magnetic Resonance Imaging. 82. 9–17. 18 indexed citations

2.

Schelb, Patrick, Thomas Hielscher, Magdalena Görtz, et al.. (2020). Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 193(5). 559–573. 19 indexed citations

3.

Schelb, Patrick, Xianfeng Wang, Jan Philipp Radtke, et al.. (2020). Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment. European Radiology. 31(1). 302–313. 34 indexed citations

4.

Schelb, Patrick, Simon Köhl, Jan Philipp Radtke, et al.. (2019). Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment. Radiology. 293(3). 607–617. 230 indexed citations breakdown →

5.

Bonekamp, David, Patrick Schelb, Manuel Wiesenfarth, et al.. (2018). Histopathological to multiparametric MRI spatial mapping of extended systematic sextant and MR/TRUS-fusion-targeted biopsy of the prostate. European Radiology. 29(4). 1820–1830. 26 indexed citations

6.

Bonekamp, David, Simon Köhl, Manuel Wiesenfarth, et al.. (2018). Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values. Radiology. 289(1). 128–137. 156 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.

Explore authors with similar magnitude of impact