Mounir Boukadoum
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 5%
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Salim LahmiriSylvain ChartierBenoit GosselinAlexandre Campeau‐LecoursSimon TamThomas GisigerHouari SahraouiMarouane Kessentini
- Topics
- Neural Networks and Applications (23 papers)Neuroscience and Neural Engineering (20 papers)Analytical Chemistry and Sensors (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsSensors
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Mounir Boukadoum
170 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 151
- Electrical and Electronic Engineering 501
- Biomedical Engineering 492
- Artificial Intelligence 434
- Cognitive Neuroscience 398
- Computer Vision and Pattern Recognition 311
Countries citing papers authored by Mounir Boukadoum
This map shows the geographic impact of Mounir Boukadoum'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 Mounir Boukadoum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mounir Boukadoum more than expected).
Fields of papers citing papers by Mounir Boukadoum
This network shows the impact of papers produced by Mounir Boukadoum. 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 Mounir Boukadoum. The network helps show where Mounir Boukadoum may publish in the future.
Co-authorship network of co-authors of Mounir Boukadoum
This figure shows the co-authorship network connecting the top 25 collaborators of Mounir Boukadoum. A scholar is included among the top collaborators of Mounir Boukadoum 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 Mounir Boukadoum. Mounir Boukadoum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 5 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 30 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 25 | |
| 12 | 67 | |
| 13 | 3 | |
| 14 | Improved Nanoreinforced Composite Material Bonds with Potential Sensing Capabilities | 1 |
| 15 | 7 | |
| 16 | Méta-modélisation de la transformation de modèles par l'exemple : approche par méta-heuristiques. | 2 |
| 17 | Neural Network Processor for a FPGA-based Multiband Fluorometer Device | 0 |
| 18 | Vigilance Procedure Generalization for Recurrent Associative Memories | 1 |
| 19 | 58 | |
| 20 | 22 |
About Mounir Boukadoum
Mounir Boukadoum is a scholar working on Bioengineering, Software and Neurology, having authored 185 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Neuroscience and Neural Engineering (20 papers) and Analytical Chemistry and Sensors (19 papers). The work is most often cited by research in Software (106 citations), Human-Computer Interaction (118 citations) and Cognitive Neuroscience (398 citations). Mounir Boukadoum has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Salim Lahmiri, Sylvain Chartier, Benoit Gosselin, Alexandre Campeau‐Lecours, Simon Tam, Thomas Gisiger, Houari Sahraoui, Marouane Kessentini, Otmane Aı̈t Mohamed and Amine Miled. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.
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.