Eva M. van Rikxoort

6.7k total citations · 1 hit paper
86 papers, 2.9k citations indexed

About

Eva M. van Rikxoort is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Eva M. van Rikxoort has authored 86 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Pulmonary and Respiratory Medicine, 34 papers in Radiology, Nuclear Medicine and Imaging and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Eva M. van Rikxoort's work include Lung Cancer Diagnosis and Treatment (41 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (39 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). Eva M. van Rikxoort is often cited by papers focused on Lung Cancer Diagnosis and Treatment (41 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (39 papers) and Radiomics and Machine Learning in Medical Imaging (22 papers). Eva M. van Rikxoort collaborates with scholars based in Netherlands, United States and Germany. Eva M. van Rikxoort's co-authors include Bram van Ginneken, Mathias Prokop, Dirk‐Jan Slebos, Karin Klooster, Nick H.T. ten Hacken, Huib A.M. Kerstjens, Cornelia Schaefer‐Prokop, Bartjan de Hoop, Jorine E. Hartman and Max A. Viergever and has published in prestigious journals such as New England Journal of Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Eva M. van Rikxoort

83 papers receiving 2.8k 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.

Endobronchial Valves for Emphysema without Interlobar Collateral Ventilation

2015 304 citations Karin Klooster, Nick H.T. ten Hacken et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva M. van Rikxoort Netherlands	31	2.2k	1.2k	413	254	230	86	2.9k
Joseph K. Leader United States	22	1.3k 0.6×	617 0.5×	171 0.4×	104 0.4×	252 1.1×	89	2.0k
Jennifer L. Boes United States	16	594 0.3×	569 0.5×	362 0.9×	200 0.8×	178 0.8×	24	1.5k
Jan‐Martin Kuhnigk Germany	18	880 0.4×	943 0.8×	197 0.5×	175 0.7×	40 0.2×	44	1.4k
Atilla P. Kiraly United States	14	865 0.4×	1.3k 1.0×	318 0.8×	260 1.0×	32 0.1×	52	2.1k
Colin Jacobs Netherlands	28	2.2k 1.0×	2.3k 1.9×	247 0.6×	312 1.2×	20 0.1×	74	3.1k
Junfeng Guo United States	20	785 0.4×	546 0.5×	91 0.2×	259 1.0×	143 0.6×	57	1.5k
Shigeru Sanada Japan	20	451 0.2×	707 0.6×	122 0.3×	232 0.9×	68 0.3×	118	1.3k
Saher Burhan Shaker Denmark	22	1.1k 0.5×	315 0.3×	151 0.4×	56 0.2×	271 1.2×	62	1.5k
Steven M. Montner United States	23	1.2k 0.5×	349 0.3×	111 0.3×	80 0.3×	356 1.5×	54	1.6k
Rashindra Manniesing Netherlands	23	498 0.2×	653 0.5×	438 1.1×	247 1.0×	55 0.2×	67	1.6k

Countries citing papers authored by Eva M. van Rikxoort

Since Specialization

Citations

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

Fields of papers citing papers by Eva M. van Rikxoort

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. van Rikxoort. 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 Eva M. van Rikxoort. The network helps show where Eva M. van Rikxoort may publish in the future.

Co-authorship network of co-authors of Eva M. van Rikxoort

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

All Works

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20 of 20 papers shown

Klooster, Karin, Jean‐Paul Charbonnier, Eva M. van Rikxoort, et al.. (2019). A New Oxygen Uptake Measurement Supporting Target Selection for Endobronchial Valve Treatment. Respiration. 98(6). 521–526. 4 indexed citations

Koster, T. David, Lowie E.G.W. Vanfleteren, Rein Posthuma, et al.. (2019). Approximated Perfusion from HRCT May Replace Nuclear Perfusion Imaging for Target Selection in Bronchoscopic Lung Volume Reduction Treatment. A2634–A2634.

Hartman, Jorine E., Nick H.T. ten Hacken, Jean‐Paul Charbonnier, et al.. (2018). Chartis Measurement of Collateral Ventilation: Conscious Sedation versus General Anesthesia – A Retrospective Comparison. Respiration. 96(5). 480–487. 9 indexed citations

Charbonnier, Jean‐Paul, Esther Pompe, Camille M. Moore, et al.. (2018). Airway wall thickening on CT: Relation to smoking status and severity of COPD. Respiratory Medicine. 146. 36–41. 58 indexed citations

Charbonnier, Jean‐Paul, Eva M. van Rikxoort, Arnaud A. A. Setio, et al.. (2016). Improving airway segmentation in computed tomography using leak detection with convolutional networks. Medical Image Analysis. 36. 52–60. 78 indexed citations

Pompe, Esther, Eva M. van Rikxoort, Onno M. Mets, et al.. (2016). Follow-up of CT-derived airway wall thickness: Correcting for changes in inspiration level improves reliability. European Journal of Radiology. 85(11). 2008–2013. 6 indexed citations

Jacobs, Colin, Eva M. van Rikxoort, Keelin Murphy, et al.. (2015). Computer-aided detection of pulmonary nodules: a comparative study using the public LIDC/IDRI database. European Radiology. 26(7). 2139–2147. 90 indexed citations

Slebos, Dirk‐Jan, Eva M. van Rikxoort, & Wim van der Bij. (2015). Air Trapping in Emphysema. American Journal of Respiratory and Critical Care Medicine. 192(5). e45–e45. 1 indexed citations

Hoesein, Firdaus A. A. Mohamed, Pim A. de Jong, Jan‐Willem J. Lammers, et al.. (2014). Contribution of CT Quantified Emphysema, Air Trapping and Airway Wall Thickness on Pulmonary Function in Male Smokers With and Without COPD. COPD Journal of Chronic Obstructive Pulmonary Disease. 11(5). 503–509. 40 indexed citations

10.

Takx, Richard A. P., Rozemarijn Vliegenthart, Firdaus A. A. Mohamed Hoesein, et al.. (2014). Pulmonary function and CT biomarkers as risk factors for cardiovascular events in male lung cancer screening participants: the NELSON study. European Radiology. 25(1). 65–71. 9 indexed citations

11.

Jacobs, Colin, Eva M. van Rikxoort, Ernst T. Scholten, et al.. (2014). Solid, Part-Solid, or Non-Solid?. Investigative Radiology. 50(3). 168–173. 37 indexed citations

12.

Mets, Onno M., Michael A. Schmidt, Constantinus F. M. Buckens, et al.. (2013). Diagnosis of chronic obstructive pulmonary disease in lung cancer screening Computed Tomography scans: independent contribution of emphysema, air trapping and bronchial wall thickening. Respiratory Research. 14(1). 59–59. 53 indexed citations

13.

Hoesein, Firdaus A. A. Mohamed, Michael A. Schmidt, Onno M. Mets, et al.. (2013). Discriminating dominant computed tomography phenotypes in smokers without or with mild COPD. Respiratory Medicine. 108(1). 136–143. 21 indexed citations

14.

Lo, Pechin, Eva M. van Rikxoort, Fereidoun Abtin, et al.. (2013). Automated segmentation of pulmonary lobes in chest CT scans using evolving surfaces. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 86693R–86693R. 3 indexed citations

15.

Jacobs, Colin, Eva M. van Rikxoort, Thorsten Twellmann, et al.. (2013). Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images. Medical Image Analysis. 18(2). 374–384. 191 indexed citations

16.

Rikxoort, Eva M. van, et al.. (2012). Automatic Segmentation of the Pulmonary Lobes From Chest CT Scans Based on Fissures, Vessels, and Bronchi. IEEE Transactions on Medical Imaging. 32(2). 210–222. 81 indexed citations

17.

Beichel, Reinhard, Marleen de Bruijne, Bram van Ginneken, et al.. (2011). The Fourth International Workshop on Pulmonary Image Analysis. Data Archiving and Networked Services (DANS). 2 indexed citations

18.

Rikxoort, Eva M. van, Ivana Išgum, Yulia Arzhaeva, et al.. (2009). Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus. Medical Image Analysis. 14(1). 39–49. 120 indexed citations

19.

Murphy, Kevin P., Bram van Ginneken, Eva M. van Rikxoort, et al.. (2009). Obstructive pulmonary function: Patient classification using 3D registration of inspiration and expiration CT images. Research at the University of Copenhagen (University of Copenhagen). 37–49. 2 indexed citations

20.

Rikxoort, Eva M. van, Egon L. van den Broek, & Theo E. Schouten. (2005). The development of a human-centered object based image retrieval engine. Data Archiving and Networked Services (DANS). 401–408. 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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