Michel E. van Genderen

2.7k total citations
65 papers, 1.3k citations indexed

About

Michel E. van Genderen is a scholar working on Surgery, Health Informatics and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Michel E. van Genderen has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Surgery, 16 papers in Health Informatics and 15 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Michel E. van Genderen's work include Artificial Intelligence in Healthcare and Education (16 papers), Hemodynamic Monitoring and Therapy (14 papers) and Intensive Care Unit Cognitive Disorders (12 papers). Michel E. van Genderen is often cited by papers focused on Artificial Intelligence in Healthcare and Education (16 papers), Hemodynamic Monitoring and Therapy (14 papers) and Intensive Care Unit Cognitive Disorders (12 papers). Michel E. van Genderen collaborates with scholars based in Netherlands, United States and Germany. Michel E. van Genderen's co-authors include Jasper van Bommel, Diederik Gommers, Jan Bakker, Alexandre Lima, Davy van de Sande, Eva Klijn, Joost Huiskens, Alexandre Lima, Johan H. Vlake and Evert‐Jan Wils and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michel E. van Genderen

62 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michel E. van Genderen Netherlands 20 539 356 349 259 181 65 1.3k
Johannes Bickenbach Germany 19 291 0.5× 222 0.6× 167 0.5× 119 0.5× 165 0.9× 81 1.3k
Ho Geol Ryu South Korea 22 707 1.3× 226 0.6× 226 0.6× 283 1.1× 51 0.3× 117 1.5k
David N. Hager United States 23 460 0.9× 423 1.2× 599 1.7× 374 1.4× 132 0.7× 70 2.3k
Michaël Chassé Canada 18 391 0.7× 269 0.8× 191 0.5× 129 0.5× 25 0.1× 107 1.6k
Christian S. Meyhoff Denmark 26 946 1.8× 258 0.7× 260 0.7× 799 3.1× 33 0.2× 125 2.0k
Teus H. Kappen Netherlands 22 1.4k 2.7× 235 0.7× 147 0.4× 1.3k 5.1× 45 0.2× 50 2.6k
Takashi Tagami Japan 22 456 0.8× 365 1.0× 618 1.8× 278 1.1× 17 0.1× 136 1.7k
Filippo Sanfilippo Italy 28 1.1k 2.0× 611 1.7× 541 1.6× 907 3.5× 22 0.1× 133 2.5k
Shelley McLeod Canada 25 285 0.5× 282 0.8× 310 0.9× 419 1.6× 14 0.1× 126 2.1k
Sheila Nainan Myatra India 27 623 1.2× 440 1.2× 388 1.1× 337 1.3× 13 0.1× 117 2.2k

Countries citing papers authored by Michel E. van Genderen

Since Specialization
Citations

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

Fields of papers citing papers by Michel E. van Genderen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michel E. van Genderen. 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 Michel E. van Genderen. The network helps show where Michel E. van Genderen may publish in the future.

Co-authorship network of co-authors of Michel E. van Genderen

This figure shows the co-authorship network connecting the top 25 collaborators of Michel E. van Genderen. A scholar is included among the top collaborators of Michel E. van Genderen 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 Michel E. van Genderen. Michel E. van Genderen 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.
Sande, Davy van de, et al.. (2025). Comparative evaluation and performance of large language models on expert level critical care questions: a benchmark study. Critical Care. 29(1). 72–72. 8 indexed citations
2.
Genderen, Michel E. van, Ilse Kant, Carlo Tacchetti, & Stefan Jovinge. (2025). Moving Toward Implementation of Responsible Artificial Intelligence in Health Care. JAMA. 333(17). 1483–1483. 9 indexed citations
3.
Baid, Heather, Forbes McGain, Jan J. De Waele, et al.. (2025). The green ICU: how to interpret green? A multiple perspective approach. Critical Care. 29(1). 80–80.
4.
Bruno, Raphael Romano, et al.. (2025). Extended reality in cardiovascular care: a systematic review. European Heart Journal - Digital Health. 6(5). 878–887. 1 indexed citations
5.
Sande, Davy van de, Freek Daams, Diederik Gommers, et al.. (2025). Importance of model governance in clinical AI models: case study on the relevance of data drift detection. EUR Research Repository (Erasmus University Rotterdam). 1(1). e000046–e000046. 1 indexed citations
6.
Brand, Jan A.J.G. van den, Davy van de Sande, Marianne de Vries, et al.. (2025). Leveraging GPT-4 enables patient comprehension of radiology reports. European Journal of Radiology. 187. 112111–112111. 1 indexed citations
7.
Genderen, Michel E. van, Davy van de Sande, Maurizio Cecconi, & Christian Jung. (2024). Federated learning: a step in the right direction to improve data equity. Intensive Care Medicine. 50(8). 1393–1394. 2 indexed citations
8.
Reiss, Irwin, et al.. (2024). From bytes to bedside: a systematic review on the use and readiness of artificial intelligence in the neonatal and pediatric intensive care unit. Intensive Care Medicine. 50(11). 1767–1777. 14 indexed citations
9.
Vlake, Johan H., Jasper van Bommel, Giuseppe Riva, et al.. (2024). Reporting Guidelines for the Early-Phase Clinical Evaluation of Applications Using Extended Reality: RATE-XR Qualitative Study Guideline. Journal of Medical Internet Research. 26. e56790–e56790. 5 indexed citations
10.
Genderen, Michel E. van, Davy van de Sande, Lotty Hooft, et al.. (2024). Charting a new course in healthcare: early-stage AI algorithm registration to enhance trust and transparency. npj Digital Medicine. 7(1). 119–119. 6 indexed citations
11.
Hellemons, Merel E., Susanne M. Huijts, Jasper van Bommel, et al.. (2023). Cognitive and psychological recovery patterns across different care pathways 12 months after hospitalization for COVID-19: A multicenter cohort study (CO-FLOW). Annals of Physical and Rehabilitation Medicine. 66(5). 101737–101737. 5 indexed citations
12.
Heijenbrok‐Kal, Majanka H., Susanne M. Huijts, Michel E. van Genderen, et al.. (2022). Symptoms persisting after hospitalisation for COVID-19: 12 months interim results of the CO-FLOW study. ERJ Open Research. 8(4). 355–2022. 15 indexed citations
13.
Vlake, Johan H., Jasper van Bommel, Evert‐Jan Wils, et al.. (2022). Intensive Care Unit–Specific Virtual Reality for Critically Ill Patients With COVID-19: Multicenter Randomized Controlled Trial. Journal of Medical Internet Research. 24(1). e32368–e32368. 46 indexed citations
14.
15.
Sande, Davy van de, Michel E. van Genderen, Cornelis Verhoef, et al.. (2022). Optimizing discharge after major surgery using an artificial intelligence–based decision support tool (DESIRE): An external validation study. Surgery. 172(2). 663–669. 10 indexed citations
16.
17.
Sande, Davy van de, Michel E. van Genderen, Henrik Endeman, et al.. (2020). Predicting thromboembolic complications in COVID-19 ICU patients using machine learning. Journal of Clinical and Translational Research. 6(4). 179–186. 6 indexed citations
18.
Vlake, Johan H., Michel E. van Genderen, Anna FC Schut, et al.. (2020). Patients suffering from psychological impairments following critical illness are in need of information. Journal of Intensive Care. 8(1). 6–6. 41 indexed citations
19.
Genderen, Michel E. van, et al.. (2014). Severe facial swelling in a pregnant woman after using hair dye. BMJ Case Reports. 2014. bcr2013202562–bcr2013202562. 6 indexed citations
20.
Genderen, Michel E. van, Sebastiaan A. Bartels, Alexandre Lima, et al.. (2013). Peripheral Perfusion Index as an Early Predictor for Central Hypovolemia in Awake Healthy Volunteers. Anesthesia & Analgesia. 116(2). 351–356. 77 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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