Arved Bischoff

415 total citations · 1 hit paper
7 papers, 254 citations indexed

About

Arved Bischoff is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Arved Bischoff has authored 7 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pulmonary and Respiratory Medicine, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Arved Bischoff's work include Tracheal and airway disorders (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Topic Modeling (2 papers). Arved Bischoff is often cited by papers focused on Tracheal and airway disorders (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Topic Modeling (2 papers). Arved Bischoff collaborates with scholars based in Germany, Canada and United States. Arved Bischoff's co-authors include Hans‐Ulrich Kauczor, Tim Frederik Weber, Matthias A. Fink, Claus Peter Heußel, Claus Peter Heußel, Monika Eichinger, Michael Puderbach, Oliver Weinheimer, Marcus Mall and Sebastian Ley and has published in prestigious journals such as Radiology, Diagnostics and Journal of Thoracic Imaging.

In The Last Decade

Arved Bischoff

7 papers receiving 251 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.

Potential of ChatGPT and GPT-4 for Data Mining of Free-Text CT Reports on Lung Cancer

2023 154 citations Matthias A. Fink, Arved Bischoff et al. Radiology profile →

Peers

Arved Bischoff

RNMI

HI

AI

PRM

BE

Xin Tie China

Gregory Holste United States

Erdi Çallı Netherlands

Ameena Elahi United States

Philipp Fervers Germany

Yasuhito Mitsuyama Japan

Maria Teodora Wetscherek United Kingdom

René Hosch Germany

Jong Seok Ahn South Korea

Keith Dreyer United States

Xin Tie China

Arved Bischoff

184 ×1.4

RNMI

58 ×0.5

HI

57 ×0.7

AI

33 ×0.5

PRM

32 ×1.9

BE

Citations per year, relative to Arved Bischoff Arved Bischoff (= 1×) peers Xin Tie

Countries citing papers authored by Arved Bischoff

Since Specialization

Citations

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

Fields of papers citing papers by Arved Bischoff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arved Bischoff

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

All Works

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7 of 7 papers shown

1.

Bischoff, Arved, Oliver Weinheimer, Hans‐Ulrich Kauczor, et al.. (2024). Low-Dose Whole-Chest Dynamic CT for the Assessment of Large Airway Collapsibility in Patients with Suspected Tracheobronchial Instability. Radiology Cardiothoracic Imaging. 6(5). e240041–e240041. 1 indexed citations

2.

Bischoff, Arved, et al.. (2024). Comparison of Non-Contrast CT vs. Contrast-Enhanced CT with Both Intravenous and Rectal Contrast Application for Diagnosis of Acute Colonic Diverticulitis: A Multireader, Retrospective Single-Center Study. Diagnostics. 15(1). 29–29. 1 indexed citations

3.

Fink, Matthias A., et al.. (2023). Potential of ChatGPT and GPT-4 for Data Mining of Free-Text CT Reports on Lung Cancer. Radiology. 308(3). e231362–e231362. 154 indexed citations breakdown →

4.

Fink, Matthias A., Arved Bischoff, Claus Peter Heußel, et al.. (2022). Deep Learning–based Assessment of Oncologic Outcomes from Natural Language Processing of Structured Radiology Reports. Radiology Artificial Intelligence. 4(5). e220055–e220055. 32 indexed citations

5.

Bischoff, Arved, Oliver Weinheimer, Monika Eichinger, et al.. (2020). Computertomographie der Lunge bei Mukoviszidose. Der Radiologe. 60(9). 791–801. 3 indexed citations

6.

Wielpütz, Mark O., Monika Eichinger, Oliver Weinheimer, et al.. (2012). Automatic Airway Analysis on Multidetector Computed Tomography in Cystic Fibrosis. Journal of Thoracic Imaging. 28(2). 104–113. 56 indexed citations

7.

Heimann, Tobias, Monika Eichinger, Grzegorz Bauman, et al.. (2012). Automated scoring of regional lung perfusion in children from contrast enhanced 3D MRI. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8315. 83150U–83150U. 7 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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