Lorenz A. Kapsner

79 total papers · 631 total citations
29 papers, 256 citations indexed

About

Lorenz A. Kapsner is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Health Information Management. According to data from OpenAlex, Lorenz A. Kapsner has authored 29 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Molecular Biology and 4 papers in Health Information Management. Recurrent topics in Lorenz A. Kapsner's work include MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (4 papers). Lorenz A. Kapsner is often cited by papers focused on MRI in cancer diagnosis (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers) and Advanced MRI Techniques and Applications (4 papers). Lorenz A. Kapsner collaborates with scholars based in Germany, Switzerland and Russia. Lorenz A. Kapsner's co-authors include Hans‐Ulrich Prokosch, Jakob Zierk, Sebastian Mate, Manfred Rauh, Markus Metzler, Farhad Arzideh, Michael Uder, Julian Gruendner, Susanne A. Seuchter and Marvin Kampf and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Lorenz A. Kapsner

25 papers receiving 252 citations

Author Peers

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

Author Last Decade Papers Cites
Lorenz A. Kapsner 58 55 48 46 38 29 256
Shinji Mizuno 13 0.2× 9 0.2× 41 0.9× 22 0.5× 37 1.0× 36 329
Magí Lluch-Ariet 66 1.1× 39 0.7× 9 0.2× 35 0.8× 34 0.9× 27 293
W. Scott Campbell 133 2.3× 19 0.3× 7 0.1× 69 1.5× 47 1.2× 24 294
Vianney Jouhet 91 1.6× 33 0.6× 10 0.2× 88 1.9× 12 0.3× 35 227
Anita Walden 64 1.1× 74 1.3× 16 0.3× 56 1.2× 15 0.4× 20 253
Juan Carlos Pardo–Fernández 49 0.8× 10 0.2× 10 0.2× 16 0.3× 21 0.6× 23 320
Alberto Moreno-Conde 37 0.6× 70 1.3× 23 0.5× 55 1.2× 5 0.1× 30 226
Shuai Zheng 37 0.6× 13 0.2× 6 0.1× 42 0.9× 16 0.4× 23 257
Hyo Soung 70 1.2× 38 0.7× 8 0.2× 21 0.5× 26 0.7× 27 272
Henry A. Swett 100 1.7× 28 0.5× 4 0.1× 46 1.0× 93 2.4× 21 265

Countries citing papers authored by Lorenz A. Kapsner

Since Specialization
Citations

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

Fields of papers citing papers by Lorenz A. Kapsner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lorenz A. Kapsner. 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 Lorenz A. Kapsner. The network helps show where Lorenz A. Kapsner may publish in the future.

Co-authorship network of co-authors of Lorenz A. Kapsner

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

All Works

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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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