Timo M. Deist

7.4k total citations · 1 hit paper
16 papers, 4.4k citations indexed

About

Timo M. Deist is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Timo M. Deist has authored 16 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Oncology. Recurrent topics in Timo M. Deist's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Advanced X-ray and CT Imaging (3 papers). Timo M. Deist is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Advanced X-ray and CT Imaging (3 papers). Timo M. Deist collaborates with scholars based in Netherlands, United States and Germany. Timo M. Deist's co-authors include André Dekker, Arthur Jochems, Philippe Lambin, Johan van Soest, Seán Walsh, Yvonka van Wijk, Ralph T. H. Leijenaar, Janita E. van Timmeren, Wouter van Elmpt and Evelyn E.C. de Jong and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Timo M. Deist

15 papers receiving 4.4k 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.

Radiomics: the bridge between medical imaging and personalized medicine

2017 3.7k citations Philippe Lambin, Ralph T. H. Leijenaar et al. Nature Reviews Clinical Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timo M. Deist Netherlands	11	3.6k	1.5k	927	791	684	16	4.4k
Jurgen Peerlings Netherlands	8	3.6k 1.0×	1.4k 0.9×	942 1.0×	766 1.0×	520 0.8×	9	4.2k
Aniek J.G. Even Netherlands	14	3.7k 1.0×	1.5k 1.0×	962 1.0×	806 1.0×	506 0.7×	21	4.3k
Seán Walsh United States	24	3.9k 1.1×	1.6k 1.1×	1.0k 1.1×	824 1.0×	771 1.1×	56	5.5k
Erik Roelofs Netherlands	16	3.9k 1.1×	1.8k 1.2×	965 1.0×	836 1.1×	582 0.9×	43	4.7k
René Monshouwer Netherlands	14	4.0k 1.1×	1.7k 1.2×	1.1k 1.2×	744 0.9×	762 1.1×	37	4.5k
Michelle M. Rietbergen Netherlands	9	4.2k 1.2×	1.8k 1.2×	1.1k 1.2×	919 1.2×	788 1.2×	10	5.0k
Patrick V. Granton Netherlands	20	4.5k 1.2×	2.0k 1.4×	1.4k 1.5×	783 1.0×	597 0.9×	37	5.3k
Arthur Jochems Netherlands	24	4.4k 1.2×	1.8k 1.2×	1.2k 1.2×	1.1k 1.3×	877 1.3×	42	5.5k
D. Rietveld Netherlands	21	4.4k 1.2×	2.4k 1.6×	1.1k 1.2×	1.3k 1.6×	815 1.2×	34	6.2k
Henry C. Woodruff Netherlands	35	5.5k 1.5×	2.2k 1.5×	1.5k 1.6×	1.0k 1.3×	1.1k 1.6×	104	6.8k

Countries citing papers authored by Timo M. Deist

Since Specialization

Citations

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

Fields of papers citing papers by Timo M. Deist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timo M. Deist. 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 Timo M. Deist. The network helps show where Timo M. Deist may publish in the future.

Co-authorship network of co-authors of Timo M. Deist

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

All Works

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16 of 16 papers shown

Deist, Timo M., et al.. (2019). Simulation-assisted machine learning. Bioinformatics. 35(20). 4072–4080. 42 indexed citations

Shi, Zhenwei, Ivan Zhovannik, Alberto Traverso, et al.. (2019). Distributed radiomics as a signature validation study using the Personal Health Train infrastructure. Scientific Data. 6(1). 218–218. 41 indexed citations

Jong, Evelyn E.C. de, Karin J.C. Sanders, Timo M. Deist, et al.. (2019). Can radiomics help to predict skeletal muscle response to chemotherapy in stage IV non-small cell lung cancer?. European Journal of Cancer. 120. 107–113. 23 indexed citations

Tucker, Susan L., Ting Xu, Harald Paganetti, et al.. (2018). Validation of Effective Dose as a Better Predictor of Radiation Pneumonitis Risk Than Mean Lung Dose: Secondary Analysis of a Randomized Trial. International Journal of Radiation Oncology*Biology*Physics. 103(2). 403–410. 22 indexed citations

Deist, Timo M., Pei Yang, Cary Oberije, et al.. (2017). Dosimetric Analysis of Randomized Proton and Photon Plans with Respect to Radiation Toxicity: The Importance of High Dose Regions in Lung and Esophagus. International Journal of Radiation Oncology*Biology*Physics. 98(1). 246–246. 2 indexed citations

Deist, Timo M., Arthur Jochems, Johan van Soest, et al.. (2017). Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT. Clinical and Translational Radiation Oncology. 4. 24–31. 87 indexed citations

Jochems, Arthur, Timo M. Deist, Issam El Naqa, et al.. (2017). Developing and Validating a Survival Prediction Model for NSCLC Patients Through Distributed Learning Across 3 Countries. International Journal of Radiation Oncology*Biology*Physics. 99(2). 344–352. 90 indexed citations

Lambin, Philippe, Ralph T. H. Leijenaar, Timo M. Deist, et al.. (2017). Radiomics: the bridge between medical imaging and personalized medicine. Nature Reviews Clinical Oncology. 14(12). 749–762. 3729 indexed citations breakdown →

Lustberg, Tim, Johan van Soest, Arthur Jochems, et al.. (2016). Big Data in radiation therapy: challenges and opportunities. British Journal of Radiology. 90(1069). 20160689–20160689. 23 indexed citations

10.

Deist, Timo M., Arthur Jochems, Cary Oberije, et al.. (2016). Expert knowledge and data-driven Bayesian Networks to predict post-RT dyspnea and 2-year survival. Radiotherapy and Oncology. 118. S29–S30. 3 indexed citations

11.

Jochems, Arthur, Timo M. Deist, Johan van Soest, et al.. (2016). Distributed learning: Developing a predictive model based on data from multiple hospitals without data leaving the hospital – A real life proof of concept. Radiotherapy and Oncology. 121(3). 459–467. 112 indexed citations

12.

Jochems, Arthur, Timo M. Deist, Johan van Soest, et al.. (2016). Distributed learning: predictive models based on data from multiple hospitals without data leaving the hospital. Radiotherapy and Oncology. 118. S53–S54. 1 indexed citations

13.

Damiani, Andrea, Roberto Gatta, N. Dinapoli, et al.. (2015). A New Model to Solve Privacy Issues in Multi-centric Clinical Studies: Problems Solved and New Challenges. International Journal of Radiation Oncology*Biology*Physics. 93(3). E385–E386.

14.

Caye, Kévin, Timo M. Deist, Helena Martins, Olivier Michel, & Olivier François. (2015). TESS3: fast inference of spatial population structure and genome scans for selection. Molecular Ecology Resources. 16(2). 540–548. 198 indexed citations

15.

Thuss‐Patience, Peter, Albrecht Kretzschmar, Timo M. Deist, et al.. (2009). Irinotecan versus best supportive care (BSC) as second-line therapy in gastric cancer: A randomized phase III study of the Arbeitsgemeinschaft Internistische Onkologie (AIO). Journal of Clinical Oncology. 27(15_suppl). 4540–4540. 53 indexed citations

16.

Thuss-Patience, P., Albrecht Kretzschmar, Timo M. Deist, et al.. (2009). 6504 Survial advantage for irinotecan versus best supportive care (BSC) as 2nd-line chemotherapy in gastric cancer – a randomized phase III study of the Arbeitsgemeinschaft Internistische Onkologie (AIO). European Journal of Cancer Supplements. 7(2). 362–362. 8 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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