Armelle Brun
About
In The Last Decade
Armelle Brun
34 papers receiving 238 citations
Peers
Comparison fields: 5 of 46
- Information Systems 151
- Artificial Intelligence 122
- Statistical and Nonlinear Physics 56
- Management Science and Operations Research 37
- Computer Networks and Communications 35
Countries citing papers authored by Armelle Brun
This map shows the geographic impact of Armelle Brun'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 Armelle Brun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armelle Brun more than expected).
Fields of papers citing papers by Armelle Brun
This network shows the impact of papers produced by Armelle Brun. 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 Armelle Brun. The network helps show where Armelle Brun may publish in the future.
Co-authorship network of co-authors of Armelle Brun
This figure shows the co-authorship network connecting the top 25 collaborators of Armelle Brun. A scholar is included among the top collaborators of Armelle Brun 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 Armelle Brun. Armelle Brun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | DGL4C: a Deep Semi-supervised Graph Representation Learning Model for Resume Classification | 1 |
| 4 | 14 | |
| 5 | A Review on Heterogeneous, Multi-source and Multi-dimensional data mining | 1 |
| 6 | A Review on Explanations in Recommender Systems | 8 |
| 7 | 5 | |
| 8 | 25 | |
| 9 | 2 | |
| 10 | Towards Preference Relations in Recommender Systems | 26 |
| 11 | 45 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 1 | |
| 15 | A positively directed mutual information measure for collaborative filtering | 2 |
| 16 | 7 | |
| 17 | 15 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | Dynamic Topic Identification: Towards Combination of Methods | 6 |
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.