Thomas Weikert

1.2k total citations
38 papers, 759 citations indexed

About

Thomas Weikert is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Thomas Weikert has authored 38 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Pulmonary and Respiratory Medicine and 9 papers in Epidemiology. Recurrent topics in Thomas Weikert's work include Radiomics and Machine Learning in Medical Imaging (16 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Medical Imaging Techniques and Applications (6 papers). Thomas Weikert is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), Lung Cancer Diagnosis and Treatment (8 papers) and Medical Imaging Techniques and Applications (6 papers). Thomas Weikert collaborates with scholars based in Switzerland, United States and Germany. Thomas Weikert's co-authors include Bram Stieltjes, Alexander Sauter, Jens Bremerich, Gregor Sommer, David Winkel, Joshy Cyriac, Daniel T. Boll, Tobias Heye, Shan Yang and Marios‐Nikos Psychogios and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and Gait & Posture.

In The Last Decade

Thomas Weikert

36 papers receiving 748 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Weikert Switzerland 16 427 173 154 144 121 38 759
Thomas Song United States 15 456 1.1× 204 1.2× 189 1.2× 139 1.0× 54 0.4× 31 997
Stuart R. Pomerantz United States 16 510 1.2× 252 1.5× 429 2.8× 396 2.8× 88 0.7× 50 1.3k
Farbod N. Rahaghi United States 16 234 0.5× 663 3.8× 78 0.5× 63 0.4× 31 0.3× 56 960
Bernardo C. Bizzo United States 17 546 1.3× 146 0.8× 62 0.4× 220 1.5× 277 2.3× 59 880
Christopher J. Roth United States 17 363 0.9× 66 0.4× 50 0.3× 148 1.0× 114 0.9× 31 733
Ramandeep Singh United States 17 844 2.0× 311 1.8× 55 0.4× 481 3.3× 75 0.6× 54 1.1k
Sohail Contractor United States 14 160 0.4× 169 1.0× 55 0.4× 39 0.3× 23 0.2× 65 609
Eduardo J. Mortani Barbosa United States 15 231 0.5× 263 1.5× 160 1.0× 47 0.3× 22 0.2× 35 692
Joshy Cyriac Switzerland 11 496 1.2× 131 0.8× 50 0.3× 271 1.9× 132 1.1× 22 789
Maurizio Cariati Italy 15 190 0.4× 266 1.5× 44 0.3× 38 0.3× 42 0.3× 93 833

Countries citing papers authored by Thomas Weikert

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Weikert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Weikert

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Weikert. A scholar is included among the top collaborators of Thomas Weikert 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 Thomas Weikert. Thomas Weikert 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.
Du, E, Jeremiah J. Peiffer, Thomas Weikert, Chris Awai Easthope, & R. Cotton. (2025). Usability of iGait@Healthcore: Gait analysis from a smartphone for use in clinical routine. Gait & Posture. 121. 65–66.
2.
Weikert, Thomas, Paul F. Jaeger, Shuyi Yang, et al.. (2023). Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation. European Radiology. 33(6). 4270–4279. 10 indexed citations
3.
Weikert, Thomas, Harold Litt, William H. Moore, et al.. (2023). Reduction in Radiologist Interpretation Time of Serial CT and MR Imaging Findings with Deep Learning Identification of Relevant Priors, Series and Finding Locations. Academic Radiology. 30(10). 2269–2279. 2 indexed citations
5.
Stieltjes, Bram, et al.. (2022). Natural Language Processing and Graph Theory: Making Sense of Imaging Records in a Novel Representation Frame. JMIR Medical Informatics. 10(12). e40534–e40534. 2 indexed citations
6.
Pusterla, Orso, Rahel Heule, Francesco Santini, et al.. (2022). MRI lung lobe segmentation in pediatric cystic fibrosis patients using a recurrent neural network trained with publicly accessible CT datasets. Magnetic Resonance in Medicine. 88(1). 391–405. 9 indexed citations
7.
Yang, Shan, Thomas Weikert, Jens Bremerich, et al.. (2022). Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network. Diagnostics. 12(5). 1045–1045. 11 indexed citations
8.
Weikert, Thomas, et al.. (2022). Utilization of Artificial Intelligence–based Intracranial Hemorrhage Detection on Emergent Noncontrast CT Images in Clinical Workflow. Radiology Artificial Intelligence. 4(2). e210168–e210168. 53 indexed citations
9.
Bach, Michael, Shan Yang, Fabian Franzeck, et al.. (2021). Automated CT Lung Density Analysis of Viral Pneumonia and Healthy Lungs Using Deep Learning-Based Segmentation, Histograms and HU Thresholds. Diagnostics. 11(5). 738–738. 11 indexed citations
10.
Block, Kai Tobias, David Winkel, Maurice Henkel, et al.. (2021). Evaluation of liver fibrosis and cirrhosis on the basis of quantitative T1 mapping: Are acute inflammation, age and liver volume confounding factors?. European Journal of Radiology. 141. 109789–109789. 18 indexed citations
11.
Wasserthal, Jakob, Thomas Weikert, Alexander Sauter, et al.. (2021). Automated Detection of Pancreatic Cystic Lesions on CT Using Deep Learning. Diagnostics. 11(5). 901–901. 29 indexed citations
12.
Weikert, Thomas, Saikiran Rapaka, Saša Grbić, et al.. (2021). Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings. Korean Journal of Radiology. 22(6). 994–994. 13 indexed citations
14.
Weikert, Thomas, David Winkel, Jens Bremerich, et al.. (2020). Automated detection of pulmonary embolism in CT pulmonary angiograms using an AI-powered algorithm. European Radiology. 30(12). 6545–6553. 98 indexed citations
15.
Weikert, Thomas, Marco Francone, Suhny Abbara, et al.. (2020). Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges. European Radiology. 31(6). 3909–3922. 18 indexed citations
16.
Henkel, Maurice, Thomas Weikert, Nathalie Schwab, et al.. (2020). Lethal COVID-19: Radiologic-Pathologic Correlation of the Lungs. Radiology Cardiothoracic Imaging. 2(6). e200406–e200406. 21 indexed citations
17.
Weikert, Thomas, Jens Bremerich, Bram Stieltjes, et al.. (2020). Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography. Korean Journal of Radiology. 21(7). 891–891. 69 indexed citations
18.
Weikert, Thomas, Tanja Haas, Markus Klarhöfer, et al.. (2019). Early Prediction of Treatment Response of Neuroendocrine Hepatic Metastases after Peptide Receptor Radionuclide Therapy with 90Y-DOTATOC Using Diffusion Weighted and Dynamic Contrast-Enhanced MRI. Contrast Media & Molecular Imaging. 2019. 1–12. 13 indexed citations
19.
Weikert, Thomas, Tugba Akinci D’Antonoli, Jens Bremerich, et al.. (2019). Evaluation of an AI-Powered Lung Nodule Algorithm for Detection and 3D Segmentation of Primary Lung Tumors. Contrast Media & Molecular Imaging. 2019. 1–10. 17 indexed citations
20.
Weikert, Thomas, et al.. (2019). A Practical Guide to Artificial Intelligence–Based Image Analysis in Radiology. Investigative Radiology. 55(1). 1–7. 38 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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