J. Buurman

445 total citations
17 papers, 254 citations indexed

About

J. Buurman is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, J. Buurman has authored 17 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Artificial Intelligence and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in J. Buurman's work include Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (5 papers) and Advanced MRI Techniques and Applications (5 papers). J. Buurman is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (5 papers) and Advanced MRI Techniques and Applications (5 papers). J. Buurman collaborates with scholars based in Netherlands, Finland and United States. J. Buurman's co-authors include Bart M. ter Haar Romeny, Xiaobing Fan, N.A.W. van Riel, Gregory S. Karczmar, D. G. T. Thomas, Neil Dorward, Olaf Alberti, Wil M. P. van der Aalst, Merlijn Sevenster and Joost F. Peters and has published in prestigious journals such as Magnetic Resonance in Medicine, Physics in Medicine and Biology and Journal of Magnetic Resonance Imaging.

In The Last Decade

J. Buurman

16 papers receiving 245 citations

Peers

J. Buurman

RNMI

MIS

NEURO

Brent Liu United States

Jayne Seekins United States

Linda A. Lam United States

Eric A. Cohen United States

Mingyong Gao China

David Morland France

Wei Yan Ng Singapore

Mikhail Galkin Russia

Michael Wilkinson United States

Benjamin Miraglio Netherlands

Brent Liu United States

J. Buurman

89 ×0.7

RNMI

58 ×1.2

5 ×0.1

MIS

10 ×0.4

NEURO

9 ×0.3

Citations per year, relative to J. Buurman J. Buurman (= 1×) peers Brent Liu

Countries citing papers authored by J. Buurman

Since Specialization

Citations

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

Fields of papers citing papers by J. Buurman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Buurman

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

All Works

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17 of 17 papers shown

Buurman, J., et al.. (2015). Natural Language Processing Techniques for Extracting and Categorizing Finding Measurements in Narrative Radiology Reports. Applied Clinical Informatics. 6(3). 600–610. 35 indexed citations

Aalst, Wil M. P. van der, et al.. (2015). Discovering deviating cases and process variants using trace clustering. Data Archiving and Networked Services (DANS). 26(1). 25–8. 30 indexed citations

Aalst, Wil M. P. van der, et al.. (2015). Detecting change in processes using comparative trace clustering. TU/e Research Portal. 95–108. 15 indexed citations

Aalst, Wil M. P. van der, et al.. (2015). Enhancing process mining results using domain knowledge. TU/e Research Portal. 79–94. 1 indexed citations

Sevenster, Merlijn, et al.. (2013). Cross-Sectional Relatedness Between Sentences in Breast Radiology Reports: Development of an SVM Classifier and Evaluation Against Annotations of Five Breast Radiologists. Journal of Digital Imaging. 26(5). 977–988. 2 indexed citations

Fan, Xiaobing, et al.. (2010). The influence of temporal resolution in determining pharmacokinetic parameters from DCE-MRI data. Magnetic Resonance in Medicine. 63(3). 811–816. 59 indexed citations

Fan, Xiaobing, et al.. (2010). Effects of reference tissue AIF derived from low temporal resolution DCE-MRI data on pharmacokinetic parameter estimation. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 140(28). 1687–91. 1 indexed citations

Fan, Xiaobing, et al.. (2010). The use of a reference tissue arterial input function with low-temporal-resolution DCE-MRI data. Physics in Medicine and Biology. 55(16). 4871–4883. 21 indexed citations

Huo, Dezheng, et al.. (2010). Robust segmentation of mass‐lesions in contrast‐enhanced dynamic breast MR images. Journal of Magnetic Resonance Imaging. 32(1). 110–119. 9 indexed citations

10.

Litjens, Geert, et al.. (2010). Pharmacokinetic models in clinical practice: What model to use for DCE-MRI of the breast?. TU/e Research Portal. 185–188. 13 indexed citations

11.

Mustafi, Devkumar, et al.. (2009). World of Phantoms: Reference Standards for Bench to Breast MRI. TU/e Research Portal (Eindhoven University of Technology). 2104. 2 indexed citations

12.

Buurman, J., et al.. (2003). Learning 3D object descriptions from a set of stereo vision observations. 768–771.

13.

Dorward, Neil, et al.. (1998). Interactive Image-Guided Neuroendoscopy: Development and Early Clinical Experience. min - Minimally Invasive Neurosurgery. 41(1). 31–34. 21 indexed citations

14.

Dorward, Neil, et al.. (1997). Clinical introduction of an adjustable rigid instrument holder for frameless stereotactic interventions. Computer Aided Surgery. 2(3-4). 180–185. 24 indexed citations

15.

Dorward, Neil, et al.. (1997). Clinical Introduction of an Adjustable Rigid Instrument Holder for Frameless Stereotactic Interventions. Computer Aided Surgery. 2(3-4). 180–185. 17 indexed citations

16.

Buurman, J.. (1992). <title>DIAC object recognition system</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1708. 641–652. 1 indexed citations

17.

Buurman, J., et al.. (1991). <title>Two stage object identification system in the Delft intelligent assembly cell</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 1386. 185–196. 3 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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