Arnaud Fortin

521 total citations · 1 hit paper
5 papers, 348 citations indexed

About

Arnaud Fortin is a scholar working on Artificial Intelligence, Radiological and Ultrasound Technology and Information Systems. According to data from OpenAlex, Arnaud Fortin has authored 5 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Radiological and Ultrasound Technology and 2 papers in Information Systems. Recurrent topics in Arnaud Fortin's work include Imbalanced Data Classification Techniques (3 papers), Occupational Health and Safety Research (2 papers) and Flexible and Reconfigurable Manufacturing Systems (1 paper). Arnaud Fortin is often cited by papers focused on Imbalanced Data Classification Techniques (3 papers), Occupational Health and Safety Research (2 papers) and Flexible and Reconfigurable Manufacturing Systems (1 paper). Arnaud Fortin collaborates with scholars based in France and Canada. Arnaud Fortin's co-authors include Bernard Grabot, Samir Lamouri, Juan Pablo Usuga Cadavid and Robert Pellerin and has published in prestigious journals such as International Journal of Production Research, Journal of Intelligent Manufacturing and Enterprise Information Systems.

In The Last Decade

Arnaud Fortin

5 papers receiving 335 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0

2020 246 citations Juan Pablo Usuga Cadavid, Samir Lamouri et al. Journal of Intelligent Manufacturing profile →

Peers

Arnaud Fortin

IME

MIS

AI

CSE

SM

Juan Pablo Usuga Cadavid France

André Dionísio Rocha Portugal

Belgacem Bettayeb France

Qiushi Cao France

Pulak Bandyopadhyay United States

Dávid Gyulai Hungary

Mario Hoernicke Germany

Wanqing Xia New Zealand

Κωνσταντίνος Σίψας Greece

Y.C. Tsim Hong Kong

Juan Pablo Usuga Cadavid France

Arnaud Fortin

212 ×1.0

IME

78 ×1.1

MIS

54 ×1.0

AI

40 ×1.0

CSE

36 ×1.1

SM

Citations per year, relative to Arnaud Fortin Arnaud Fortin (= 1×) peers Juan Pablo Usuga Cadavid

Countries citing papers authored by Arnaud Fortin

Since Specialization

Citations

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

Fields of papers citing papers by Arnaud Fortin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnaud Fortin

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

All Works

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5 of 5 papers shown

1.

Cadavid, Juan Pablo Usuga, Bernard Grabot, Samir Lamouri, & Arnaud Fortin. (2021). Exploring the Influence of Focal Loss on Transformer Models for Imbalanced Maintenance Data in Industry 4.0. IFAC-PapersOnLine. 54(1). 1023–1028. 7 indexed citations

2.

Cadavid, Juan Pablo Usuga, Samir Lamouri, Bernard Grabot, & Arnaud Fortin. (2021). Using deep learning to value free-form text data for predictive maintenance. International Journal of Production Research. 60(14). 4548–4575. 46 indexed citations

3.

Cadavid, Juan Pablo Usuga, Samir Lamouri, Bernard Grabot, Robert Pellerin, & Arnaud Fortin. (2020). Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0. Journal of Intelligent Manufacturing. 31(6). 1531–1558. 246 indexed citations breakdown →

4.

Cadavid, Juan Pablo Usuga, Bernard Grabot, Samir Lamouri, Robert Pellerin, & Arnaud Fortin. (2020). Valuing free-form text data from maintenance logs through transfer learning with CamemBERT. Enterprise Information Systems. 16(6). 26 indexed citations

5.

Cadavid, Juan Pablo Usuga, Samir Lamouri, Bernard Grabot, & Arnaud Fortin. (2019). Machine Learning in Production Planning and Control: A Review of Empirical Literature. IFAC-PapersOnLine. 52(13). 385–390. 23 indexed citations

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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