Anne de Hond

2.4k total citations · 2 hit papers
30 papers, 1.1k citations indexed

About

Anne de Hond is a scholar working on Artificial Intelligence, Health Informatics and Surgery. According to data from OpenAlex, Anne de Hond has authored 30 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Health Informatics and 5 papers in Surgery. Recurrent topics in Anne de Hond's work include Machine Learning in Healthcare (9 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Anne de Hond is often cited by papers focused on Machine Learning in Healthcare (9 papers), Artificial Intelligence in Healthcare and Education (7 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). Anne de Hond collaborates with scholars based in Netherlands, United States and Switzerland. Anne de Hond's co-authors include Ewout W. Steyerberg, Ben Van Calster, Ilse Kant, Wouter Wieling, Arend J. Dunning, J. F. van Brederode, C. Borst, Maarten van Smeden, Hendrikus J. A. van Os and Niels H. Chavannes and has published in prestigious journals such as Scientific Reports, Social Science & Medicine and Critical Care Medicine.

In The Last Decade

Anne de Hond

25 papers receiving 1.1k 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.

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

2022 279 citations Anne de Hond, Artuur Leeuwenberg et al. npj Digital Medicine profile →
Interpreting area under the receiver operating characteristic curve

2022 233 citations Anne de Hond, Ewout W. Steyerberg et al. The Lancet Digital Health profile →

Peers

Countries citing papers authored by Anne de Hond

Since Specialization

Citations

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

Fields of papers citing papers by Anne de Hond

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anne de Hond. 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 Anne de Hond. The network helps show where Anne de Hond may publish in the future.

Co-authorship network of co-authors of Anne de Hond

This figure shows the co-authorship network connecting the top 25 collaborators of Anne de Hond. A scholar is included among the top collaborators of Anne de Hond 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 Anne de Hond. Anne de Hond 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

#	Work	Indexed citations
1	Explainable AI in healthcare: to explain, to predict, or to describe? 2025 ·PubMed ·(unknown), Anne de Hond, (unknown), Fernando V. Paulovich, Sanne Abeln, Karel G.M. Moons, Maarten van Smeden	2
2	In humble defense of unexplainable black box prediction models in healthcare 2025 ·Journal of Clinical Epidemiology ·(unknown), (unknown), Anne de Hond, (unknown), Frans H. Rutten, Karel G. M. Moons, Maarten van Smeden	1
3	Development and internal validation of a diagnostic prediction model for life-threatening events in callers with shortness of breath: a cross-sectional study in out-of-hours primary care 2025 ·British Journal of General Practice ·(unknown), Roderick P Venekamp, Anne de Hond, Esther de Groot, Geert‐Jan Geersing, (unknown), (unknown), Frans H. Rutten, Maarten van Smeden, Dorien Zwart	0
4	When, where, who, what, and why? The five Ws of workflow analysis for implementing an AI decision support tool at the intensive care 2025 ·Pure Amsterdam UMC ·Anne de Hond, (unknown), Steffen Lange, (unknown), (unknown), (unknown), Ewout W. Steyerberg, (unknown), M. Sesmu Arbous	2
5	Machine learning-based prediction of short- and long-term mortality for shared decision-making in older hip fracture patients: the Dutch Hip Fracture Audit algorithms in 74,396 cases 2025 ·Acta Orthopaedica ·Hidde Dijkstra, Colin M. Parsons, (unknown), Hanna C. Willems, Anne de Hond, Barbara C. Van Munster, Job N. Doornberg, Jacobien H. F. Oosterhoff	0
6	Charlson comorbidity index has no incremental value for mortality risk prediction in nursing home residents with COVID-19 disease 2025 ·BMC Geriatrics ·(unknown), Maarten van Smeden, Petra J. M. Elders, Jan Festen, Jacobijn Gussekloo, Karlijn J. Joling, Anouk M. van Loon, Kim Luijken, René J. F. Melis, Simon P. Mooijaart, Karel G.M. Moons, Geeske Peeters, Harmke A. Polinder‐Bos, Fenne Wouters, Anne de Hond	0
7	Applying natural language processing to patient messages to identify depression concerns in cancer patients 2024 ·Journal of the American Medical Informatics Association ·Marieke van Buchem, Anne de Hond, (unknown), (unknown), (unknown), Ilse Kant, Ewout W. Steyerberg, Tina Hernandez‐Boussard	0
8	Predicting Depression Risk in Patients With Cancer Using Multimodal Data: Algorithm Development Study 2024 ·JMIR Medical Informatics ·Anne de Hond, Marieke van Buchem, (unknown), (unknown), Douglas W. Blayney, Ilse Kant, Ewout W. Steyerberg, Tina Hernandez‐Boussard	10
9	Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care 2024 ·JAMA Network Open ·(unknown), Marieke van Buchem, (unknown), Anne de Hond, Ilse Kant, Maarten van Smeden, Karel G. M. Moons, Artuur Leeuwenberg, Niels H. Chavannes, (unknown), Hendrikus J. A. van Os	7
10	Don't be misled: 3 misconceptions about external validation of clinical prediction models 2024 ·Journal of Clinical Epidemiology ·(unknown), (unknown), Anne de Hond, (unknown), Sjoerd de Vries, Richard Bartels, (unknown), Sander van Doorn, (unknown), Ilse Kant, (unknown), (unknown), (unknown), (unknown), Kim Luijken	21
11	The influence of the dynamic context of the pandemic on the predictive performance of mortality predictions over time in older patients hospitalized for COVID-19 2024 ·Journal of Clinical Epidemiology ·(unknown), (unknown), Ewout W. Steyerberg, Anne de Hond, (unknown), (unknown), Harmke A. Polinder‐Bos, (unknown), Brent Appelman, (unknown), Stella Trompet, Geeske Peeters, Maarten van Smeden, Karel G.M. Moons, Jacobijn Gussekloo, Simon P. Mooijaart, Raymond Noordam, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	1
12	Predicting Depression Risk in Patients with Cancer Using Multimodal Data 2023 ·Studies in health technology and informatics ·Anne de Hond, Marieke van Buchem, (unknown), (unknown), Douglas W. Blayney, Ilse Kant, Ewout W. Steyerberg, Tina Hernandez‐Boussard	1
13	A Bayesian approach to predictive uncertainty in chemotherapy patients at risk of acute care utilization 2023 ·EBioMedicine ·(unknown), Anne de Hond, (unknown), Angelo Capodici, Tina Hernandez‐Boussard	3
14	Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review breakdown → 2022 ·npj Digital Medicine ·Anne de Hond, Artuur Leeuwenberg, Lotty Hooft, Ilse Kant, Steven W J Nijman, Hendrikus J. A. van Os, Jiska J Aardoom, Thomas P. A. Debray, Ewoud Schuit, Maarten van Smeden, Johannes B. Reitsma, Ewout W. Steyerberg, Niels H. Chavannes, Karel G.M. Moons	279
15	Interpreting area under the receiver operating characteristic curve breakdown → 2022 ·The Lancet Digital Health ·Anne de Hond, Ewout W. Steyerberg, Ben Van Calster	233
16	Predicting Readmission or Death After Discharge From the ICU: External Validation and Retraining of a Machine Learning Model 2022 ·Critical Care Medicine ·Anne de Hond, Ilse Kant, (unknown), (unknown), Paul Elbers, Patrick Thoral, M. Sesmu Arbous, Ewout W. Steyerberg	26
17	Intensive Care Unit Physicians’ Perspectives on Artificial Intelligence–Based Clinical Decision Support Tools: Preimplementation Survey Study 2022 ·JMIR Human Factors ·Siri Lise van der Meijden, Anne de Hond, Patrick Thoral, Ewout W. Steyerberg, Ilse Kant, (unknown), M. Sesmu Arbous	17
18	Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope? 2021 ·International Journal of Medical Informatics ·Anne de Hond, (unknown), (unknown), Menno I. Gaakeer, Ewoud ter Avest, Özcan Sir, Heleen Lameijer, (unknown), (unknown), Evert de Jonge, Ewout W. Steyerberg, Christian H. Nickel, Bas de Groot	41
19	Evaluation of the performance of algorithms mapping EORTC QLQ-C30 onto the EQ-5D index in a metastatic colorectal cancer cost-effectiveness model 2020 ·Health and Quality of Life Outcomes ·(unknown), Anne de Hond, Koen Degeling, Cornelis J.A. Punt, Miriam Koopman, Carin A. Uyl‐de Groot, Matthijs Versteegh, Martijn G.H. van Oijen	4
20	Can time heal all wounds? An empirical assessment of adaptation to functional limitations in an older population 2018 ·Social Science & Medicine ·Anne de Hond, Pieter Bakx, Matthijs Versteegh	14

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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