Maaike de Boer
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- Advanced Image and Video Retrieval Techniques 14
- Video Analysis and Summarization 11
- Multimodal Machine Learning Applications 11
- Image Retrieval and Classification Techniques 6
- Human Pose and Action Recognition 5
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- Semantic Web and Ontologies 6
- Topic Modeling 3
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- Cancer Treatment and Pharmacology 3
- Co-authors
- Wessel KraaijKlamer SchutteVivianne C. G. Tjan‐HeijnenChong‐Wah NgoYijie LuMarjolein L. SmidtManon J. PepelsGeorge F. Borm
- Partner nations
- NetherlandsUnited StatesHong Kong
In The Last Decade
Maaike de Boer
40 papers receiving 285 citations
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 98
- Cancer Research 55
- Health Informatics 4
- Artificial Intelligence 90
- Pathology and Forensic Medicine 47
Countries citing papers authored by Maaike de Boer
This map shows the geographic impact of Maaike de Boer'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 Maaike de Boer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maaike de Boer more than expected).
Fields of papers citing papers by Maaike de Boer
This network shows the impact of papers produced by Maaike de Boer. 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 Maaike de Boer. The network helps show where Maaike de Boer may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maaike de Boer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | The FATE System: FAir, Transparent and Explainable Decision Making. | 2021 | 6 |
| 10 | Towards Automatic Ontology Alignment using BERT. | 2021 | 7 |
| 11 | Towards Data-driven Ontologies: a Filtering Approach using Keywords and Natural Language Constructs | 2020 | 2 |
| 12 | Hybrid ai: White paper | 2019 | 1 |
| 13 | Counting in Visual Question Answering: a concept detector based approach | 2016 | 1 |
| 14 | 2016 | 27 | |
| 15 | VIREO-TNO @ TRECVID 2015: Multimedia Event Detection and Video Hyperlinking. | 2015 | 1 |
| 16 | VIREO-TNO @ TRECVID 2015: Multimedia Event Detection | 2015 | 3 |
| 17 | Applying Semantic Reasoning in Image Retrieval | 2015 | 5 |
| 18 | VIREO-TNO @ TRECVID 2014: Multimedia Event Detection and Recounting (MED and MER) | 2014 | 2 |
| 19 | 2013 | 1 | |
| 20 | 2010 | 55 |
About Maaike de Boer
Maaike de Boer is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 44 papers that have together received 292 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (14 papers), Video Analysis and Summarization (11 papers), Multimodal Machine Learning Applications (11 papers), Semantic Web and Ontologies (6 papers), Image Retrieval and Classification Techniques (6 papers), Human Pose and Action Recognition (5 papers), Topic Modeling (3 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (98 citations), Cancer Research (55 citations) and Health Informatics (4 citations). Maaike de Boer has collaborated with scholars based in Netherlands, United States and Hong Kong. Frequent co-authors include Wessel Kraaij, Klamer Schutte, Vivianne C. G. Tjan‐Heijnen, Chong‐Wah Ngo, Yijie Lu, Marjolein L. Smidt, Manon J. Pepels, George F. Borm, Paul J. van Diest and Hao Zhang. Their work appears in journals such as Cancer Research, Information Sciences and Quality of Life Research.
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.