Moncef Chioua

580 citations
43 papers · 452 · h-index 13

Impact in

Papers in

Moncef Chioua

39 papers receiving 441 citations

Peers

Moncef Chioua
Comparison fields: 5 of 70
  • Control and Systems Engineering 321
  • Statistics, Probability and Uncertainty 79
  • Medical Laboratory Technology 12
  • Industrial and Manufacturing Engineering 44
  • Artificial Intelligence 123
Replace Sung-Shick Kim with:
Sung-Shick Kim South Korea
Jakey Blue France
Jionghua Jin United States
Yihao Qin China
Chunhua Zhao United States
An‐Da Li China
Nga Nguyen France
Ahmad W. Al-Dabbagh Canada
João A. Duro United Kingdom
Jing Bing Zhang Singapore
Moncef Chioua relative to Sung-Shick Kim South Korea Sung-Shick Kim's profile →
Citations per field
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Sung-Shick Kim · 1×
Citations per year

Countries citing papers authored by Moncef Chioua

Since Specialization
Citations

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

Fields of papers citing papers by Moncef Chioua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Moncef Chioua, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Moncef Chioua Line = papers co-authored together Moncef Chioua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 201654
3 201931
4 201623
5 201821
6 200720
7 202417
8 201417
9 202216
10 201516
11 201814
12 201914
13 201613
14 201713
15 202012
16 202312
17 201811
18 201910
19 20239
20 20189

About Moncef Chioua

Moncef Chioua is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 43 papers that have together received 452 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (28 papers), Advanced Control Systems Optimization (11 papers), Mineral Processing and Grinding (10 papers), Advanced Statistical Process Monitoring (8 papers), Anomaly Detection Techniques and Applications (6 papers), Extremum Seeking Control Systems (5 papers), Spectroscopy and Chemometric Analyses (3 papers) and Flexible and Reconfigurable Manufacturing Systems (3 papers). The work is most often cited by research in Control and Systems Engineering (321 citations), Statistics, Probability and Uncertainty (79 citations), Medical Laboratory Technology (12 citations), Industrial and Manufacturing Engineering (44 citations) and Artificial Intelligence (123 citations). Moncef Chioua has collaborated with scholars based in Canada, United Kingdom and Germany. Frequent co-authors include Nina F. Thornhill, Chriss Grimholt, Vicent Miquel Rodrigo Peñarrocha, Tore J. Hägglund, Martin Guay, Anna Stief, Margret Bauer, Baifan Zhou, Bala Srinivasan and Balakrishnan Srinivasan. Their work appears in journals such as Control Engineering Practice, Journal of Process Control, The Canadian Journal of Chemical Engineering, Computers & Chemical Engineering and IFAC-PapersOnLine.

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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