Martijn Millecamp

563 total citations
17 papers, 347 citations indexed

About

Martijn Millecamp is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Martijn Millecamp has authored 17 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 7 papers in Artificial Intelligence and 6 papers in Computer Science Applications. Recurrent topics in Martijn Millecamp's work include Recommender Systems and Techniques (8 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Online Learning and Analytics (5 papers). Martijn Millecamp is often cited by papers focused on Recommender Systems and Techniques (8 papers), Explainable Artificial Intelligence (XAI) (6 papers) and Online Learning and Analytics (5 papers). Martijn Millecamp collaborates with scholars based in Belgium, Ecuador and Canada. Martijn Millecamp's co-authors include Katrien Verbert, Cristina Conati, Nyi Nyi Htun, Tinne De Laet, Yucheng Jin, Sven Charleer, Francisco Luís Gutiérrez Vela, Margarita Ortíz-Rojas, Isabel Hilliger and Mar Pérez‐Sanagustín and has published in prestigious journals such as British Journal of Educational Technology, User Modeling and User-Adapted Interaction and ACM SIGIR Forum.

In The Last Decade

Martijn Millecamp

16 papers receiving 336 citations

Peers

Martijn Millecamp
Comparison fields: 5 of 60
  • Artificial Intelligence 163
  • Information Systems 111
  • Computer Science Applications 73
  • Computer Vision and Pattern Recognition 51
  • Safety Research 51
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Citations per field, relative to Martijn Millecamp
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Citations per year, relative to Martijn Millecamp
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Countries citing papers authored by Martijn Millecamp

Since Specialization
Citations

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

Fields of papers citing papers by Martijn Millecamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martijn Millecamp. 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 Martijn Millecamp. The network helps show where Martijn Millecamp may publish in the future.

Co-authorship network of co-authors of Martijn Millecamp

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 1
2 0
3 35
4
Classifeye: Classification of Personal Characteristics Based on Eye Tracking Data in a Recommender System Interface.
2
5 56
6 26
7 9
8
Card-based approach to coordinate Learning Analytics policymaking and implementation at scale.
1
9 33
10 13
11 9
12
To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Feature-based Recommendations in Different Domains.
2
13 92
14 1
15 19
16
The LALA Project: Building Capacity to Use Learning Analytics to Improve Higher Education in Latin America
10
17 38

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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