2026 Ben Kröse: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	55	4266	4148	56	52	297	14064

Research.com Recognitions

2025 - Research.com Computer Science in Netherlands Leader Award
2022 - Research.com Computer Science in Netherlands Leader Award

Overview

Ben Kröse is affiliated with the Amsterdam University of Applied Sciences in the Netherlands. Their research encompasses several intersecting fields within health sciences and technology, focusing particularly on mobile health applications, physical activity, behavioral interventions, and nutrition for aging populations.

The main fields of study in which Ben Kröse has contributed include:

Medicine
Psychology
Health Professions

Within these, their subfields of study feature:

Physiology
General Health Professions
Applied Psychology
Human-Computer Interaction
Transportation

Ben Kröse's research topics cover a considerable range of health-related and technological themes, with a focus on:

Mobile Health and mHealth Applications
Physical Activity and Health
Behavioral Health and Interventions
Nutrition and Health in Aging
Innovative Human-Technology Interaction
Digital Mental Health Interventions
Human Mobility and Location-Based Analysis

The scientist's recent papers illustrate a focus on integrating technology with health behavior, aging, and physical activity:

"Blended home-based exercise and dietary protein in community-dwelling older adults: a cluster randomized controlled trial" (2020), published in Journal of Cachexia Sarcopenia and Muscle
"The Design and Development of a Personalized Leisure Time Physical Activity Application Based on Behavior Change Theories, End-User Perceptions, and Principles From Empirical Data Mining" (2021), published in Frontiers in Public Health
"Optimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral Simulator" (2021), published in Journal of Medical Systems
"Reinforcement Learning to Send Reminders at Right Moments in Smartphone Exercise Application: A Feasibility Study" (2021), published in International Journal of Environmental Research and Public Health
"Tailoring digital apps to support active ageing in a low income community" (2020), published in PLoS ONE

Frequent coauthors in Ben Kröse's work include Bart Visser, Jantine van den Helder, Sumit Mehra, Raoul Engelbert, and Peter J.M. Weijs.

Ben Kröse has published multiple articles in notable venues such as:

Journal of Medical Internet Research
Frontiers in Public Health
JMIR Formative Research
arXiv (Cornell University)
International Journal of Environmental Research and Public Health

Best Publications

An introduction to Neural Networks

Ben Kröse;Patrick van der Smagt

1315
Citations
Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model

Marcel Heerink;Ben J. A. Kröse;Vanessa Evers;Bob J. Wielinga

1292
Citations
Accurate activity recognition in a home setting

Tim van Kasteren;Athanasios Noulas;Gwenn Englebienne;Ben Kröse

1123
Citations
Efficient greedy learning of Gaussian mixture models

J. J. Verbeek;N. Vlassis;B. Kröse

510
Citations
An EM-like algorithm for color-histogram-based object tracking

Z. Zivkovic;B. Krose

378
Citations
An activity monitoring system for elderly care using generative and discriminative models

T. L. Kasteren;G. Englebienne;B. J. Kröse

307
Citations
Measuring acceptance of an assistive social robot: a suggested toolkit

Marcel Heerink;Ben Krose;Vanessa Evers;Bob Wielinga

306
Citations
Human activity recognition from wireless sensor network data: benchmark and software

T. L. M. van Kasteren;G. Englebienne;B. J. A. Kröse

261
Citations
The control and speed of shifts of attention.

Ben J.A. Kröse;Bela Julesz

247
Citations
Distributed adaptive control : the self-organization of structured behavior

Paul F.M.J. Verschure;Ben J.A. Kröse;Rolf Pfeifer

237
Citations
Navigation using an appearance based topological map

O. Booij;B. Terwijn;Z. Zivkovic;B. Krose

220
Citations
Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry.

Ahmed Nait Aicha;Gwenn Englebienne;Kimberley S. van Schooten;Mirjam Pijnappels

215
Citations
Bayesian Activity Recognition in Residence for Elders

T.L.M. van Kasteren;B.J.A. Kröse

215
Citations
A probabilistic model for appearance-based robot localization

Ben J. A. Kröse;Nikos A. Vlassis;Roland Bunschoten;Yoichi Motomura

215
Citations
Enjoyment intention to use and actual use of a conversational robot by elderly people

Marcel Heerink;Ben Kröse;Bob Wielinga;Vanessa Evers

199
Citations
Transferring knowledge of activity recognition across sensor networks

T. L. M. van Kasteren;G. Englebienne;B. J. A. Kröse

193
Citations
Activity recognition using semi-Markov models on real world smart home datasets

T. L. M. van Kasteren;G. Englebienne;B. J. A. Kröse

182
Citations
A k-segments algorithm for finding principal curves

J. J. Verbeek;N. Vlassis;B. Kröse

178
Citations
Jijo-2: an office robot that communicates and learns

H. Asoh;Y. Motomura;F. Asano;I. Hara

177
Citations
Learning from delayed rewards

Ben J.A. Kröse

136
Citations

Frequent Co-Authors

Frans C. A. Groen University of Amsterdam

Nikos Vlassis Adobe Systems (United States)

Vanessa Evers Nanyang Technological University

Jakob Verbeek Facebook AI Research (FAIR) in Paris

Bob Wielinga University of Amsterdam

Diane J. Cook Washington State University

Bela Julesz Nokia (United States)

Dirk Heylen University of Twente

Rose-Marie Dröes University of Amsterdam

Kerstin Dautenhahn University of Waterloo

External Links

Personal website of Ben Kröse Google Scholar page

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