Michel Pasquier

1.2k total citations
56 papers, 795 citations indexed

About

Michel Pasquier is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Michel Pasquier has authored 56 papers receiving a total of 795 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Michel Pasquier's work include Neural Networks and Applications (23 papers), Fuzzy Logic and Control Systems (18 papers) and Stock Market Forecasting Methods (7 papers). Michel Pasquier is often cited by papers focused on Neural Networks and Applications (23 papers), Fuzzy Logic and Control Systems (18 papers) and Stock Market Forecasting Methods (7 papers). Michel Pasquier collaborates with scholars based in Singapore, United Arab Emirates and France. Michel Pasquier's co-authors include Chai Quek, Richard J. Oentaryo, Baek Keun Lim, Kai Keng Ang, Włodzisław Duch, Ghassan Z. Qadah, Assim Sagahyroon, Fadi Aloul, Kiam Tian Seow and Anne Spalanzani and has published in prestigious journals such as IEEE Transactions on Signal Processing, Expert Systems with Applications and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Michel Pasquier

54 papers receiving 750 citations

Peers

Michel Pasquier
Belén Melián-Batista Spain
Miren Nekane Bilbao Spain
Neetesh Kumar India
Jacek Mańdziuk Poland
Dazhi Jiang China
Gul Muhammad Khan Pakistan
Panta Lučić United States
Nasser Mozayani Iran
Bo Dai United States
René Mandiau France
Belén Melián-Batista Spain
Michel Pasquier
Citations per year, relative to Michel Pasquier Michel Pasquier (= 1×) peers Belén Melián-Batista

Countries citing papers authored by Michel Pasquier

Since Specialization
Citations

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

Fields of papers citing papers by Michel Pasquier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Pasquier

This figure shows the co-authorship network connecting the top 25 collaborators of Michel Pasquier. A scholar is included among the top collaborators of Michel Pasquier 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 Michel Pasquier. Michel Pasquier 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
1.
Jaradat, Mohammad A., et al.. (2023). A Hybrid Rolling and Flying Robot for Pipeline Fault Detection Using Deep Learning. 32. 1–6. 1 indexed citations
2.
3.
Pasquier, Michel, et al.. (2021). Using Machine Learning to Predict Diabetes Complications. 1–4. 2 indexed citations
4.
Pasquier, Michel, et al.. (2013). Key issues in conducting sentiment analysis on Arabic social media text. 72–77. 47 indexed citations
5.
Oentaryo, Richard J., Michel Pasquier, & Chai Quek. (2011). RFCMAC: A novel reduced localized neuro-fuzzy system approach to knowledge extraction. Expert Systems with Applications. 38(10). 12066–12084. 9 indexed citations
6.
Zualkernan, Imran, et al.. (2010). An adaptive learning RPG game-engine based on knowledge spaces. V2–223. 5 indexed citations
7.
Quek, Chai, Michel Pasquier, & Baek Keun Lim. (2009). A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour. Expert Systems with Applications. 36(10). 12167–12178. 27 indexed citations
8.
Pasquier, Michel, et al.. (2009). Financial Market Trading System With a Hierarchical Coevolutionary Fuzzy Predictive Model. IEEE Transactions on Evolutionary Computation. 13(1). 56–70. 39 indexed citations
9.
Duch, Włodzisław, Richard J. Oentaryo, & Michel Pasquier. (2008). Cognitive Architectures: Where do we go from here?. 122–136. 74 indexed citations
10.
Pasquier, Michel, et al.. (2008). Application of a hierarchical coevolutionary fuzzy system for financial prediction and trading. 1252–1259. 2 indexed citations
11.
12.
Wang, Dongdong, et al.. (2008). Towards intelligent self-care: Multi-sensor monitoring and neuro-fuzzy behavior modelling. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics. 33. 3083–3088. 2 indexed citations
13.
Pasquier, Michel, et al.. (2008). From operational to tactical driving: A hybrid learning approach for autonomous vehicles. 33. 285–290. 6 indexed citations
14.
Pasquier, Michel, et al.. (2007). Generic GA-based meta-level parameter optimization for pattern recognition systems. 220. 1593–1600. 3 indexed citations
15.
Quek, Chai, et al.. (2006). A Novel Recurrent Neural Network Based Prediction System for Trading. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 79. 2090–2097. 5 indexed citations
16.
Seow, Kiam Tian & Michel Pasquier. (2004). Supervising Passenger Land-Transport Systems. IEEE Transactions on Intelligent Transportation Systems. 5(3). 165–176. 13 indexed citations
17.
Ang, Kai Keng, Chai Quek, & Michel Pasquier. (2003). Popfnn-cri(s): pseudo outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 33(6). 838–849. 85 indexed citations
18.
Pasquier, Michel, et al.. (2001). Fuzzylot: a novel self-organising fuzzy-neural rule-based pilot system for automated vehicles. Neural Networks. 14(8). 1099–1112. 54 indexed citations
19.
Pasquier, Michel, Pedro Gonçalves, & Richard G. Baraniuk. (1999). Hybrid linear/bilinear time-scale analysis. IEEE Transactions on Signal Processing. 47(1). 254–259. 4 indexed citations
20.
Canal, Pierre, et al.. (1987). PHARMACOKINETICS OF HIGH‐DOSE IV ALIZAPRIDE IN PREVENTION OF CISPLATIN‐INDUCED EMESIS. Fundamental and Clinical Pharmacology. 1(3). 213–217. 2 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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