Tim van Kasteren

1.9k total citations · 2 hit papers
9 papers, 1.3k citations indexed

About

Tim van Kasteren is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Tim van Kasteren has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Computer Networks and Communications and 3 papers in Artificial Intelligence. Recurrent topics in Tim van Kasteren's work include Context-Aware Activity Recognition Systems (6 papers), IoT-based Smart Home Systems (3 papers) and Energy Efficient Wireless Sensor Networks (2 papers). Tim van Kasteren is often cited by papers focused on Context-Aware Activity Recognition Systems (6 papers), IoT-based Smart Home Systems (3 papers) and Energy Efficient Wireless Sensor Networks (2 papers). Tim van Kasteren collaborates with scholars based in Netherlands, United States and Türkiye. Tim van Kasteren's co-authors include Ben Kröse, Gwenn Englebienne, A. Noulas, Rik Bellens, Andreas Merentitis, Aleksandra Pižurica, Wilfried Philips, Christian Debes, Saurabh Prasad and Qian Du and has published in prestigious journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Pervasive Computing and Gerontechnology.

In The Last Decade

Tim van Kasteren

9 papers receiving 1.2k citations

Hit Papers

Accurate activity recognition in a home setting 2008 2026 2014 2020 2008 2014 100 200 300 400 500
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.

  1. Accurate activity recognition in a home setting
    2008 582 citations Tim van Kasteren, A. Noulas et al. UvA-DARE (University of Amsterdam) profile →
  2. Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest
    2014 465 citations Christian Debes, Andreas Merentitis et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing profile →

Peers

Tim van Kasteren
Andreas Merentitis Greece
Jiawei Zhu China
Shoulin Yin China
Tammam Tillo China
Shixiong Xia China
Mingliang Gao China
Lingjun Li China
Jinyu Tian China
Andreas Merentitis Greece
Tim van Kasteren
Citations per year, relative to Tim van Kasteren Tim van Kasteren (= 1×) peers Andreas Merentitis

Countries citing papers authored by Tim van Kasteren

Since Specialization
Citations

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

Fields of papers citing papers by Tim van Kasteren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim van Kasteren. 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 Tim van Kasteren. The network helps show where Tim van Kasteren may publish in the future.

Co-authorship network of co-authors of Tim van Kasteren

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

All Works

9 of 9 papers shown
1.
Papadopoulos, Dimitris, et al.. (2017). Versioning for End-to-End Machine Learning Pipelines. 1–9. 17 indexed citations
2.
Ordóñez, Francisco, Gwenn Englebienne, Paula de Toledo, et al.. (2014). In-Home Activity Recognition: Bayesian Inference for Hidden Markov Models. IEEE Pervasive Computing. 13(3). 67–75. 30 indexed citations
3.
Debes, Christian, Andreas Merentitis, Roel Heremans, et al.. (2014). Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7(6). 2405–2418. 465 indexed citations breakdown →
4.
Kasteren, Tim van, Hande Alemdar, & Cem Ersoy. (2011). Effective Performance Metrics for Evaluating Activity Recognition Methods.. 28 indexed citations
5.
Kröse, Ben, et al.. (2008). Care: context awareness in residences for elderly. Gerontechnology. 7(2). 37 indexed citations
6.
Kasteren, Tim van, A. Noulas, Gwenn Englebienne, & Ben Kröse. (2008). Accurate activity recognition in a home setting. UvA-DARE (University of Amsterdam). 1–9. 582 indexed citations breakdown →
7.
Kasteren, Tim van, et al.. (2008). Monitoring homes with wireless sensor networks. UvA-DARE (University of Amsterdam). 2 indexed citations
8.
Kasteren, Tim van & Ben Kröse. (2007). Bayesian activity recognition in residence for elders. 2007. 209–212. 114 indexed citations
9.
Dröes, Rose‐Marie, Maurice Mulvenna, Chris Nugent, et al.. (2007). Healthcare Systems and Other Applications. IEEE Pervasive Computing. 6(1). 59–63. 18 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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