Mattijs Elschot

2.5k total citations
57 papers, 1.6k citations indexed

About

Mattijs Elschot is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Mattijs Elschot has authored 57 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiation. Recurrent topics in Mattijs Elschot's work include Prostate Cancer Diagnosis and Treatment (24 papers), Medical Imaging Techniques and Applications (17 papers) and Prostate Cancer Treatment and Research (15 papers). Mattijs Elschot is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (24 papers), Medical Imaging Techniques and Applications (17 papers) and Prostate Cancer Treatment and Research (15 papers). Mattijs Elschot collaborates with scholars based in Norway, Netherlands and Germany. Mattijs Elschot's co-authors include Hugo W. A. M. de Jong, Marnix G. E. H. Lam, Maurice A. A. J. van den Bosch, J. Frank W. Nijsen, Maarten L. J. Smits, Tone F. Bathen, Max A. Viergever, Kirsten M. Selnæs, Bernard A. Zonnenberg and Bart de Keizer and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACS Nano and PLoS ONE.

In The Last Decade

Mattijs Elschot

54 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mattijs Elschot Norway 21 1.0k 614 496 407 218 57 1.6k
Julia K. Locklin United States 17 769 0.8× 959 1.6× 182 0.4× 132 0.3× 312 1.4× 32 1.7k
S. Nahum Goldberg United States 10 547 0.5× 921 1.5× 547 1.1× 312 0.8× 400 1.8× 12 1.8k
Nadine Abi‐Jaoudeh United States 18 384 0.4× 389 0.6× 278 0.6× 126 0.3× 264 1.2× 80 1.1k
C. Eccles United Kingdom 20 1.1k 1.1× 802 1.3× 411 0.8× 1.3k 3.2× 241 1.1× 89 1.7k
William A. Dezarn United States 12 373 0.4× 369 0.6× 547 1.1× 303 0.7× 65 0.3× 24 1.2k
Judit Boda‐Heggemann Germany 25 1.1k 1.0× 900 1.5× 194 0.4× 1.3k 3.3× 342 1.6× 97 1.9k
Clemens Grassberger United States 28 843 0.8× 1.9k 3.1× 140 0.3× 1.7k 4.1× 132 0.6× 99 2.6k
S. Cheenu Kappadath United States 23 946 0.9× 628 1.0× 577 1.2× 480 1.2× 439 2.0× 101 1.6k
Ralf Straub Germany 10 249 0.2× 236 0.4× 415 0.8× 68 0.2× 281 1.3× 19 865
Juliane Hörner‐Rieber Germany 20 601 0.6× 716 1.2× 71 0.1× 702 1.7× 91 0.4× 106 1.3k

Countries citing papers authored by Mattijs Elschot

Since Specialization
Citations

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

Fields of papers citing papers by Mattijs Elschot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mattijs Elschot

This figure shows the co-authorship network connecting the top 25 collaborators of Mattijs Elschot. A scholar is included among the top collaborators of Mattijs Elschot 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 Mattijs Elschot. Mattijs Elschot 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.
Zerka, Fadila, et al.. (2025). Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study. Radiology Artificial Intelligence. 7(5). e240485–e240485. 1 indexed citations
2.
Elschot, Mattijs, et al.. (2024). Repeat Prostate-specific Antigen Testing Improves Risk-based Selection of Men for Prostate Biopsy After Magnetic Resonance Imaging. European Urology Open Science. 65. 21–28. 2 indexed citations
3.
Tandstad, Torgrim, Trond Velde Bogsrud, Eivor Hernes, et al.. (2024). Added Value of [18F]PSMA‐1007 PET/CT and PET/MRI in Patients With Biochemically Recurrent Prostate Cancer: Impact on Detection Rates and Clinical Management. Journal of Magnetic Resonance Imaging. 61(1). 466–477. 2 indexed citations
4.
Zerka, Fadila, et al.. (2024). Federated learning for prostate cancer detection in biparametric MRI: optimization of rounds, epochs, and aggregation strategy. University of Groningen research database (University of Groningen / Centre for Information Technology). 76–76. 1 indexed citations
5.
Bathen, Tone F., et al.. (2024). Reducing femoral flow artefacts in radial MR Fingerprinting: A comparison of two methods applied to prostate imaging. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
6.
Eikenes, Live, et al.. (2023). Pelvic PET/MR attenuation correction in the image space using deep learning. Frontiers in Oncology. 13. 2 indexed citations
7.
Bathen, Tone F., et al.. (2023). CROPro: a tool for automated cropping of prostate magnetic resonance images. Journal of Medical Imaging. 10(2). 24004–24004. 2 indexed citations
8.
Bathen, Tone F., et al.. (2023). Label-set impact on deep learning-based prostate segmentation on MRI. Insights into Imaging. 14(1). 157–157. 7 indexed citations
9.
Sandsmark, Elise, Helena Bertilsson, Gigin Lin, et al.. (2022). Pseudo-T2 mapping for normalization of T2-weighted prostate MRI. Magnetic Resonance Materials in Physics Biology and Medicine. 35(4). 573–585. 6 indexed citations
10.
Selnæs, Kirsten M., et al.. (2021). The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images. Diagnostics. 11(9). 1690–1690. 20 indexed citations
11.
Selnæs, Kirsten M., Mattijs Elschot, May‐Britt Tessem, et al.. (2020). Detection of Recurrent Prostate Cancer With 18F-Fluciclovine PET/MRI. Frontiers in Oncology. 10. 582092–582092. 11 indexed citations
12.
Selnæs, Kirsten M., Elise Sandsmark, Olmo Zavala‐Romero, et al.. (2020). A Quality Control System for Automated Prostate Segmentation on T2-Weighted MRI. Diagnostics. 10(9). 714–714. 20 indexed citations
13.
Elschot, Mattijs, et al.. (2018). The Effect of Including Bone in Dixon-Based Attenuation Correction for 18F-Fluciclovine PET/MRI of Prostate Cancer. Journal of Nuclear Medicine. 59(12). 1913–1917. 13 indexed citations
14.
Elschot, Mattijs, et al.. (2016). Multimodality calibration for simultaneous fluoroscopic and nuclear imaging. EJNMMI Physics. 3(1). 20–20. 1 indexed citations
15.
Elschot, Mattijs, Kirsten M. Selnæs, Elise Sandsmark, et al.. (2016). A PET/MRI study towards finding the optimal [18F]Fluciclovine PET protocol for detection and characterisation of primary prostate cancer. European Journal of Nuclear Medicine and Molecular Imaging. 44(4). 695–703. 25 indexed citations
16.
Elschot, Mattijs, et al.. (2015). Toward Simultaneous Real-Time Fluoroscopic and Nuclear Imaging in the Intervention Room. Radiology. 278(1). 232–238. 16 indexed citations
17.
Elschot, Mattijs, J. Frank W. Nijsen, Marnix G. E. H. Lam, et al.. (2014). 99mTc-MAA overestimates the absorbed dose to the lungs in radioembolization: a quantitative evaluation in patients treated with 166Ho-microspheres. European Journal of Nuclear Medicine and Molecular Imaging. 41(10). 1965–1975. 104 indexed citations
18.
Elschot, Mattijs, Maarten L. J. Smits, J. Frank W. Nijsen, et al.. (2013). Quantitative Monte Carlo‐based holmium‐166 SPECT reconstruction. Medical Physics. 40(11). 112502–112502. 46 indexed citations
19.
Wondergem, Maurits, Maarten L. J. Smits, Mattijs Elschot, et al.. (2013). 99mTc-Macroaggregated Albumin Poorly Predicts the Intrahepatic Distribution of 90Y Resin Microspheres in Hepatic Radioembolization. Journal of Nuclear Medicine. 54(8). 1294–1301. 160 indexed citations
20.
Elschot, Mattijs, Tim C. de Wit, & Hugo W. A. M. de Jong. (2010). The influence of self‐absorption on PET and PET/CT shielding requirements. Medical Physics. 37(6Part1). 2999–3007. 13 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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