Tassilo Wald

505 total citations
6 papers, 23 citations indexed

About

Tassilo Wald is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Tassilo Wald has authored 6 papers receiving a total of 23 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Artificial Intelligence. Recurrent topics in Tassilo Wald's work include Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Tassilo Wald is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Tassilo Wald collaborates with scholars based in Germany, United States and Latvia. Tassilo Wald's co-authors include Vivienn Weru, Oliver Weinheimer, Oyunbileg von Stackelberg, Paul F. Jäger, Jürgen Biederer, Marco Nolden, Hans‐Ulrich Kauczor, Klaus Maier‐Hein, Tobias Norajitra and Claus Peter Heußel and has published in prestigious journals such as European Radiology, Frontiers in Medicine and Insights into Imaging.

In The Last Decade

Tassilo Wald

4 papers receiving 23 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tassilo Wald Germany	3	17	10	6	4	2	6	23
Rachel Lloyd Australia	4	13 0.8×	8 0.8×		9 2.3×		7	17
J. Choi South Korea	4	7 0.4×	7 0.7×		4 1.0×		7	28
Xinglin Yi China	3	21 1.2×	4 0.4×		2 0.5×		11	30
Atif Siddiqui United Kingdom	2	16 0.9×	11 1.1×				2	34
B. M. Cote Canada	4	18 1.1×	8 0.8×		1 0.3×		9	31
Jean Ogier du Terrail France	2	6 0.4×	6 0.6×		2 0.5×		3	11
M. Lenckowski Canada	2	23 1.4×	6 0.6×				3	24
S. Fattori Italy	3	21 1.2×	4 0.4×		1 0.3×		6	24
Paweł Miękus Poland	4	13 0.8×	4 0.4×				7	35
Jonathan D. Kay United Kingdom	4	10 0.6×	2 0.2×	5 0.8×			8	32

Countries citing papers authored by Tassilo Wald

Since Specialization

Citations

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

Fields of papers citing papers by Tassilo Wald

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tassilo Wald

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

All Works

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6 of 6 papers shown

1.

Wald, Tassilo, Rami A. El Shafie, Bálint Kovàcs, et al.. (2025). Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI. European Radiology Experimental. 9(1). 15–15.

2.

Wald, Tassilo, Constantin Ulrich, A. Goncharov, et al.. (2025). Revisiting MAE pre-training for 3D medical image segmentation. 5186–5196.

3.

Norajitra, Tobias, Tassilo Wald, Vivienn Weru, et al.. (2024). Capturing COPD heterogeneity: anomaly detection and parametric response mapping comparison for phenotyping on chest computed tomography. Frontiers in Medicine. 11. 1360706–1360706. 4 indexed citations

4.

Norajitra, Tobias, Tassilo Wald, Vivienn Weru, et al.. (2024). How do deep-learning models generalize across populations? Cross-ethnicity generalization of COPD detection. Insights into Imaging. 15(1). 198–198. 4 indexed citations

5.

Koehler, Gregor, Tassilo Wald, Constantin Ulrich, et al.. (2024). RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement. FreiDok plus (Universitätsbibliothek Freiburg). 799–807. 1 indexed citations

6.

Norajitra, Tobias, Tassilo Wald, Vivienn Weru, et al.. (2023). Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT. European Radiology. 34(7). 4379–4392. 14 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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