Armelle Brun

705 total citations
42 papers, 254 citations indexed

About

Armelle Brun is a scholar working on Information Systems, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Armelle Brun has authored 42 papers receiving a total of 254 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Information Systems, 24 papers in Artificial Intelligence and 7 papers in Statistical and Nonlinear Physics. Recurrent topics in Armelle Brun's work include Recommender Systems and Techniques (21 papers), Topic Modeling (7 papers) and Speech and dialogue systems (6 papers). Armelle Brun is often cited by papers focused on Recommender Systems and Techniques (21 papers), Topic Modeling (7 papers) and Speech and dialogue systems (6 papers). Armelle Brun collaborates with scholars based in France, Ukraine and Switzerland. Armelle Brun's co-authors include Anne Boyer, Kamel Smaı̈li, Olivier Buffet, Imed Zitouni, Anne E. Boyer, Jean‐Paul Haton, Brigitte Bigi, Geoffray Bonnin, Jean-Paul Haton and Pierre Monnin and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and Journal of Intelligent Information Systems.

In The Last Decade

Armelle Brun

34 papers receiving 238 citations

Peers

Armelle Brun
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
Replace Anne Boyer with:
Anne Boyer France
Jiankai Sun United States
Xinying Song China
Augusto Pucci Italy
Pavlos Kefalas Greece
Eldar Sadikov United States
ChengXiang Zhai United States
Xuezhi Cao China
Jianhan Zhu United Kingdom
Mianwei Zhou United States
Anne Boyer France View profile →
Citations per field, relative to Armelle Brun
Armelle Brun · 1×
Citations per year, relative to Armelle Brun
Armelle Brun · 1×

Countries citing papers authored by Armelle Brun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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.

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