Johannes Rueckel

581 total citations
26 papers, 316 citations indexed

About

Johannes Rueckel is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Johannes Rueckel has authored 26 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Pulmonary and Respiratory Medicine and 5 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Johannes Rueckel's work include COVID-19 diagnosis using AI (10 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Radiology practices and education (7 papers). Johannes Rueckel is often cited by papers focused on COVID-19 diagnosis using AI (10 papers), Lung Cancer Diagnosis and Treatment (9 papers) and Radiology practices and education (7 papers). Johannes Rueckel collaborates with scholars based in Germany and United States. Johannes Rueckel's co-authors include Bastian O. Sabel, Jens Ricke, Marco Stockmar, Franz Pfeiffer, Julia Herzen, Michael Ingrisch, Nicola Fink, Boj Hoppe, Thomas Geyer and Julien Dinkel and has published in prestigious journals such as Scientific Reports, CHEST Journal and Critical Care Medicine.

In The Last Decade

Johannes Rueckel

25 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johannes Rueckel Germany 10 180 109 77 74 33 26 316
Gordon Stevenson United Kingdom 16 135 0.8× 95 0.9× 55 0.7× 31 0.4× 18 0.5× 45 705
Gaeun Lee South Korea 9 298 1.7× 216 2.0× 124 1.6× 14 0.2× 102 3.1× 24 519
Jihang Sun China 11 212 1.2× 40 0.4× 153 2.0× 9 0.1× 29 0.9× 35 278
Qianjun Jia China 9 167 0.9× 66 0.6× 43 0.6× 8 0.1× 10 0.3× 28 267
Petro Kostandy United States 7 218 1.2× 36 0.3× 106 1.4× 23 0.3× 4 0.1× 8 446
Jorge Onieva Onieva United States 10 162 0.9× 377 3.5× 80 1.0× 22 0.3× 9 0.3× 14 571
Igor Gyacskov Canada 9 109 0.6× 141 1.3× 132 1.7× 8 0.1× 9 0.3× 18 328
Nicola Fink Germany 16 508 2.8× 113 1.0× 402 5.2× 55 0.7× 22 0.7× 58 659
Hany Girgis Netherlands 9 144 0.8× 50 0.5× 46 0.6× 9 0.1× 24 0.7× 32 276
Sebastian Tschauner Austria 13 186 1.0× 27 0.2× 120 1.6× 96 1.3× 18 0.5× 45 411

Countries citing papers authored by Johannes Rueckel

Since Specialization
Citations

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

Fields of papers citing papers by Johannes Rueckel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johannes Rueckel

This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Rueckel. A scholar is included among the top collaborators of Johannes Rueckel 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 Johannes Rueckel. Johannes Rueckel 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.
Hoppe, Boj, Johannes Rueckel, Jan Rudolph, et al.. (2025). Automated spinopelvic measurements on radiographs with artificial intelligence: a multi-reader study. La radiologia medica. 130(3). 359–367.
2.
Fink, Nicola, Jonathan I. Sperl, Johannes Rueckel, et al.. (2025). Artificial intelligence-based automated matching of pulmonary nodules on follow-up chest CT. European Radiology Experimental. 9(1). 48–48. 2 indexed citations
3.
Forbrig, Robert, Christoph Trumm, Paul Reidler, et al.. (2024). Optimizing Radiation Dose and Image Quality in Stroke CT Protocols: Proposed Diagnostic Reference Levels for Multiphase CT Angiography and Perfusion Imaging. Diagnostics. 14(24). 2866–2866. 2 indexed citations
4.
Rueckel, Johannes, et al.. (2024). German CheXpert Chest X-ray Radiology Report Labeler. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 196(9). 956–965. 2 indexed citations
5.
Huemmer, Christian, Giulia Buizza, Boj Hoppe, et al.. (2024). Nonradiology Health Care Professionals Significantly Benefit From AI Assistance in Emergency-Related Chest Radiography Interpretation. CHEST Journal. 166(1). 157–170. 6 indexed citations
6.
Rueckel, Johannes, et al.. (2024). Language model-based labeling of German thoracic radiology reports. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 197(1). 55–64. 1 indexed citations
7.
Rueckel, Johannes, et al.. (2024). Preliminary results of intracranial aneurysm treatment with derivo2heal embolization device. Neuroradiology. 66(10). 1747–1759. 1 indexed citations
8.
Rueckel, Johannes, Christian Huemmer, Giulia Buizza, et al.. (2023). Artificial Intelligence to Assess Tracheal Tubes and Central Venous Catheters in Chest Radiographs Using an Algorithmic Approach With Adjustable Positioning Definitions. Investigative Radiology. 59(4). 306–313. 6 indexed citations
9.
Hoppe, Boj, Johannes Rueckel, Nicola Fink, et al.. (2023). Implementing Artificial Intelligence for Emergency Radiology Impacts Physicians' Knowledge and Perception. Investigative Radiology. 59(5). 404–412. 12 indexed citations
10.
Schachtner, Balthasar, Nicola Fink, Vincent Schwarze, et al.. (2022). Clinically focused multi-cohort benchmarking as a tool for external validation of artificial intelligence algorithm performance in basic chest radiography analysis. Scientific Reports. 12(1). 12764–12764. 8 indexed citations
11.
Rueckel, Johannes, Jonathan I. Sperl, Boj Hoppe, et al.. (2021). Reduction of missed thoracic findings in emergency whole-body computed tomography using artificial intelligence assistance. Quantitative Imaging in Medicine and Surgery. 11(6). 2486–2498. 16 indexed citations
12.
Fabritius, Matthias P., Max Seidensticker, Johannes Rueckel, et al.. (2021). Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer. Journal of Clinical Medicine. 10(16). 3668–3668. 1 indexed citations
13.
Fink, Nicola, Johannes Rueckel, Vincent Schwarze, et al.. (2021). Evaluation of patients with respiratory infections during the first pandemic wave in Germany: characteristics of COVID-19 versus non-COVID-19 patients. BMC Infectious Diseases. 21(1). 167–167. 4 indexed citations
14.
Tiedt, Steffen, Daniel Puhr‐Westerheide, Matthias P. Fabritius, et al.. (2021). Decomposing Acute Symptom Severity in Large Vessel Occlusion Stroke: Association With Multiparametric CT Imaging and Clinical Parameters. Frontiers in Neurology. 12. 651387–651387. 2 indexed citations
15.
16.
Seidensticker, Max, Matthias P. Fabritius, Ricarda Seidensticker, et al.. (2021). Impact of Pharmaceutical Prophylaxis on Radiation-Induced Liver Disease Following Radioembolization. Cancers. 13(9). 1992–1992. 9 indexed citations
17.
Huemmer, Christian, Florin‐Cristian Ghesu, Awais Mansoor, et al.. (2021). Artificial Intelligence in Chest Radiography Reporting Accuracy. Investigative Radiology. 57(2). 90–98. 27 indexed citations
18.
Rueckel, Johannes, Christian Huemmer, Andreas Fieselmann, et al.. (2021). Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training. European Radiology. 31(10). 7888–7900. 22 indexed citations
19.
Rueckel, Johannes, Paul Reidler, Nicola Fink, et al.. (2020). Artificial intelligence assistance improves reporting efficiency of thoracic aortic aneurysm CT follow-up. European Journal of Radiology. 134. 109424–109424. 33 indexed citations
20.
Rueckel, Johannes, Marco Stockmar, Franz Pfeiffer, & Julia Herzen. (2014). Spatial resolution characterization of a X-ray microCT system. Applied Radiation and Isotopes. 94. 230–234. 67 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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