Tim Rädsch

808 total citations
3 papers, 46 citations indexed

About

Tim Rädsch is a scholar working on Artificial Intelligence, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tim Rädsch has authored 3 papers receiving a total of 46 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Health Informatics and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tim Rädsch's work include Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Data Stream Mining Techniques (1 paper). Tim Rädsch is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Data Stream Mining Techniques (1 paper). Tim Rädsch collaborates with scholars based in Germany and New Zealand. Tim Rädsch's co-authors include Vivienn Weru, Tobias Roß, Lena Maier‐Hein, Annika Reinke, Ali Emre Kavur, Minu D. Tizabi, Annette Kopp‐Schneider, Nicholas Schreck, Scott Thiebes and Ali Sunyaev and has published in prestigious journals such as Nature Machine Intelligence and Proceedings of the ... Annual Hawaii International Conference on System Sciences.

In The Last Decade

Tim Rädsch

3 papers receiving 46 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Rädsch Germany	2	24	16	9	6	5	3	46
Matthias Eisenmann Germany	3	15 0.6×	23 1.4×	15 1.7×	4 0.7×	6 1.2×	6	54
Adam Casson United States	2	39 1.6×	30 1.9×	16 1.8×	3 0.5×	3 0.6×	3	59
Jean-François Rajotte Canada	3	32 1.3×	16 1.0×	14 1.6×	2 0.3×	11 2.2×	6	77
Julian Viret United States	2	37 1.5×	30 1.9×	14 1.6×	3 0.5×	3 0.6×	4	56
Alexander Chowdhury United Kingdom	4	48 2.0×	27 1.7×	15 1.7×	2 0.3×	5 1.0×	4	89
Luca Lianas Italy	5	17 0.7×	7 0.4×	3 0.3×	6 1.0×	7 1.4×	16	51
Feidao Cao China	3	25 1.0×	30 1.9×	5 0.6×	2 0.3×	10 2.0×	6	67
S Aslani United States	4	31 1.3×	41 2.6×	9 1.0×	2 0.3×	11 2.2×	6	78
Matthias Perkonigg Austria	4	28 1.2×	37 2.3×	5 0.6×	3 0.5×	17 3.4×	6	65
Henrik Marklund United States	3	30 1.3×	22 1.4×	12 1.3×	2 0.3×	13 2.6×	3	54

Countries citing papers authored by Tim Rädsch

Since Specialization

Citations

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

Fields of papers citing papers by Tim Rädsch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Rädsch

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

All Works

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3 of 3 papers shown

1.

Rädsch, Tim, Annika Reinke, Vivienn Weru, et al.. (2023). Labelling instructions matter in biomedical image analysis. Nature Machine Intelligence. 5(3). 273–283. 37 indexed citations

2.

Rädsch, Tim, et al.. (2021). What Your Radiologist Might be Missing: Using Machine Learning to Identify Mislabeled Instances of X-ray Images. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 8 indexed citations

3.

Rädsch, Tim, et al.. (2021). Towards a Machine Learning-based Decision Support System for Dispatching Helicopters in New Zealand. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 1 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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