Ewoud Pons

738 total citations · 1 hit paper
7 papers, 515 citations indexed

About

Ewoud Pons is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, Ewoud Pons has authored 7 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Artificial Intelligence and 2 papers in Surgery. Recurrent topics in Ewoud Pons's work include Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (2 papers) and Hormonal Regulation and Hypertension (2 papers). Ewoud Pons is often cited by papers focused on Biomedical Text Mining and Ontologies (3 papers), Topic Modeling (2 papers) and Hormonal Regulation and Hypertension (2 papers). Ewoud Pons collaborates with scholars based in Netherlands and United States. Ewoud Pons's co-authors include Jan A. Kors, M. G. Myriam Hunink, Loes Braun, Zubair Afzal, Erik M. van Mulligen, Saber A. Akhondi, Martijn J. Schuemie, Miriam Sturkenboom, Kang Ning and Jacob J. Visser and has published in prestigious journals such as Radiology, BMC Bioinformatics and European Radiology.

In The Last Decade

Ewoud Pons

7 papers receiving 502 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.

Natural Language Processing in Radiology: A Systematic Review

2016 391 citations Ewoud Pons, Loes Braun et al. Radiology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ewoud Pons Netherlands	7	255	212	160	145	45	7	515
Jean Feng United States	11	106 0.4×	89 0.4×	106 0.7×	140 1.0×	22 0.5×	41	576
Fahad Al‐Muhanna Saudi Arabia	10	75 0.3×	94 0.4×	90 0.6×	195 1.3×	17 0.4×	31	599
Jan Clusmann Germany	6	211 0.8×	140 0.7×	50 0.3×	299 2.1×	25 0.6×	17	545
Dustin N. Hartzel United States	13	68 0.3×	128 0.6×	148 0.9×	32 0.2×	40 0.9×	24	740
Ramsey M. Wehbe United States	10	116 0.5×	139 0.7×	82 0.5×	85 0.6×	38 0.8×	24	389
Benjamin Hunter United Kingdom	10	87 0.3×	125 0.6×	66 0.4×	63 0.4×	82 1.8×	19	428
Zherui Liu China	7	85 0.3×	70 0.3×	65 0.4×	108 0.7×	31 0.7×	11	380
Pritam Mukherjee United States	12	149 0.6×	316 1.5×	44 0.3×	80 0.6×	88 2.0×	39	484
Varun Buch United States	8	132 0.5×	152 0.7×	18 0.1×	141 1.0×	55 1.2×	11	423
Jeevesh Kapur Singapore	12	84 0.3×	169 0.8×	26 0.2×	76 0.5×	75 1.7×	34	477

Countries citing papers authored by Ewoud Pons

Since Specialization

Citations

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

Fields of papers citing papers by Ewoud Pons

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewoud Pons

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Pons, Ewoud, Kelly Foks, Diederik W.J. Dippel, & M. G. Myriam Hunink. (2019). Impact of guidelines for the management of minor head injury on the utilization and diagnostic yield of CT over two decades, using natural language processing in a large dataset. European Radiology. 29(5). 2632–2640. 12 indexed citations

2.

Pons, Ewoud, et al.. (2018). Adrenal Incidentaloma and Adherence to International Guidelines for Workup Based on a Retrospective Review of the Type of Language Used in the Radiology Report. Journal of the American College of Radiology. 16(1). 50–55. 21 indexed citations

3.

Pons, Ewoud, et al.. (2017). Patient-specific workup of adrenal incidentalomas. European Journal of Radiology Open. 4. 108–114. 11 indexed citations

4.

Akhondi, Saber A., Ewoud Pons, Zubair Afzal, et al.. (2016). Chemical entity recognition in patents by combining dictionary-based and statistical approaches. Database. 2016. baw061–baw061. 17 indexed citations

5.

Pons, Ewoud, et al.. (2016). Extraction of chemical-induced diseases using prior knowledge and textual information. Database. 2016. baw046–baw046. 30 indexed citations

6.

Pons, Ewoud, Loes Braun, M. G. Myriam Hunink, & Jan A. Kors. (2016). Natural Language Processing in Radiology: A Systematic Review. Radiology. 279(2). 329–343. 391 indexed citations breakdown →

7.

Afzal, Zubair, Ewoud Pons, Kang Ning, et al.. (2014). ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus. BMC Bioinformatics. 15(1). 373–373. 33 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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