Luc Boullart

1.1k citations
53 papers · 835 indexed · h-index 14
Topics
Systemic Lupus Erythematosus Research (8 papers)Rheumatoid Arthritis Research and Therapies (8 papers)Evolutionary Algorithms and Applications (7 papers)
Partner nations
BelgiumPoland

In The Last Decade

Luc Boullart

46 papers receiving 777 citations

Peers

Luc Boullart
Comparison fields: 5 of 141
  • Artificial Intelligence 227
  • Rheumatology 198
  • Industrial and Manufacturing Engineering 118
  • Polymers and Plastics 100
  • Hematology 72
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Countries citing papers authored by Luc Boullart

Since Specialization
Citations

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

Fields of papers citing papers by Luc Boullart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luc Boullart

This figure shows the co-authorship network connecting the top 25 collaborators of Luc Boullart. A scholar is included among the top collaborators of Luc Boullart 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 Luc Boullart. Luc Boullart 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
#WorkIndexed citations
1 13
2 1
3
A Graph-theoretic Approach for Reducing One-versus-one Multi-class Classification to Ranking. International Workshop on Mining and Learning with Graphs
1
4 8
5
Mutual information and algorithmic information transfer as ideal undirected and directed independence tests.
0
6 10
7 46
8
Comparing statistics with machine learning models to predict dose increase of infliximab for rheumatoid arthritis patients
1
9
Comparison of Machine Learning models for prediction of dose increase in patients with rheumatoid arthritis
3
10
Feature selection in the prediction of infliximab dose increase
1
11 21
12
Challenging streaming video in E-learning.
1
13
FECS: an Efficiency based Learning Classifier System Applied to an Industrial Production Process.
1
14
Large Scale Permanent Education Programme in IT in Belgium
0
15
High Performant Learning Classifier Systems
2
16
Preface to the Special Section on Computer Aided Control Systems Design. Contr. Eng. Practice, Elsevier Science, Oxford, 6, 1998, 499.
1
17 9
18
Expert Assisted Discrete Optimization of Composite Structures
3
19
Artificial intelligence in process control applications
7
20
Application of Artificial Intelligence in Process Control: Lecture Notes Erasmus Intensive Course
1

About Luc Boullart

Luc Boullart is a scholar working on Industrial and Manufacturing Engineering, Rheumatology and Computer Science Applications, having authored 53 papers that have together received 835 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Rheumatoid Arthritis Research and Therapies (8 papers) and Evolutionary Algorithms and Applications (7 papers). The work is most often cited by research in Rheumatology (198 citations), Industrial and Manufacturing Engineering (118 citations) and Polymers and Plastics (100 citations). Luc Boullart has collaborated with scholars based in Belgium and Poland. Frequent co-authors include Stefan Sette, Willem Waegeman, Bernard De Baets, Lieva Van Langenhove, Bart Wyns, Paul Kiekens, Filip De Keyser, Ilse Hoffman, Dominique Baeten and Eric Veys. Their work appears in journals such as Neural Networks, Arthritis Research & Therapy and Pattern Recognition Letters.

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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