Yolaine Bourda

422 citations
63 papers · 276 · h-index 9

Impact in

Papers in

Yolaine Bourda

53 papers receiving 241 citations

Peers

Yolaine Bourda
Comparison fields: 5 of 47
  • Computer Science Applications 115
  • Human-Computer Interaction 30
  • Information Systems 97
  • Artificial Intelligence 132
  • Cognitive Neuroscience 51
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Alenka Kavčič Slovenia
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Citations per year

Countries citing papers authored by Yolaine Bourda

Since Specialization
Citations

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

Fields of papers citing papers by Yolaine Bourda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Yolaine Bourda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yolaine Bourda Line = papers co-authored together Yolaine Bourda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201736
2 200631
3 200415
4 200414
5 201914
6 200612
7 201710
8 20189
9 20099
10 20017
11
What Metadata and XML Can Do for Learning Objects
20006
12 20046
13
SemUNIT - French UNT and Linked Data
20125
14 20205
15 20115
16 20185
17
A semi-automatic tool for the indexation of learning objects
20024
18 20104
19 20074
20
Métadonnées pour ressources d'apprentissage (MLR) - Nouvelle norme ISO de description de ressources pédagogiques
20104

About Yolaine Bourda

Yolaine Bourda is a scholar working on Computer Science Applications, Information Systems, Artificial Intelligence, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 63 papers that have together received 276 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (23 papers), Open Education and E-Learning (23 papers), Context-Aware Activity Recognition Systems (9 papers), Recommender Systems and Techniques (9 papers), Service-Oriented Architecture and Web Services (6 papers), Data Management and Algorithms (5 papers), Online Learning and Analytics (5 papers) and Interactive and Immersive Displays (5 papers). The work is most often cited by research in Computer Science Applications (115 citations), Human-Computer Interaction (30 citations), Information Systems (97 citations), Artificial Intelligence (132 citations) and Cognitive Neuroscience (51 citations). Yolaine Bourda has collaborated with scholars based in France, Algeria and Japan. Frequent co-authors include Christophe Jacquet, Yacine Bellik, Jill-Jênn Vie, Éric Bruillard, Chantal Reynaud, Sérgio Takeo Kofuji, Alexandre Delteil, Gilles Gauthier, Zheng Li and Tore Hoel. Their work appears in journals such as IEEE Transactions on Learning Technologies, International Journal of Artificial Intelligence in Education, Lecture notes in computer science, Studies in computational intelligence and Communications in computer and information science.

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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