Belaid Moa
Impact in
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- Artificial Intelligence in Healthcare
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Big Data and Business Intelligence 6
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- Artificial Intelligence in Healthcare 6
- Co-authors
- Issa Traoré (2 shared papers)Conrad Rizal (2 shared papers)Curran Crawford (3 shared papers)Peter Oshkai (3 shared papers)Bradley J. Buckham (3 shared papers)Fayez Gebali (5 shared papers)Douglas Rennehan (2 shared papers)Romeel Davé (2 shared papers)
- Journals
- Monthly Notices of the Royal Astronomical Society (2 papers)Journal of Ocean Engineering and Marine Energy (2 papers)IEEE Access (2 papers)Frontiers in Plant Science (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Belaid Moa
34 papers receiving 366 citations
Peers
Comparison fields: 5 of 78
- Health Information Management 27
- Signal Processing 52
- Computational Mechanics 72
- Toxicology 11
- Computer Networks and Communications 72
Countries citing papers authored by Belaid Moa
This map shows the geographic impact of Belaid Moa'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 Belaid Moa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Belaid Moa more than expected).
Fields of papers citing papers by Belaid Moa
This network shows the impact of papers produced by Belaid Moa. 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 Belaid Moa. The network helps show where Belaid Moa may publish in the future.
Co-authors
The 25 scholars most cited alongside Belaid Moa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 71 | |
| 2 | 2022 | 36 | |
| 3 | 2017 | 36 | |
| 4 | 2016 | 33 | |
| 5 | 2016 | 26 | |
| 6 | 2018 | 25 | |
| 7 | 2010 | 21 | |
| 8 | 2022 | 18 | |
| 9 | 2015 | 14 | |
| 10 | 2017 | 14 | |
| 11 | 2014 | 14 | |
| 12 | 2024 | 12 | |
| 13 | 2016 | 9 | |
| 14 | 2016 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2017 | 6 | |
| 17 | 2017 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2019 | 5 | |
| 20 | 2017 | 3 |
About Belaid Moa
Belaid Moa is a scholar working on Management Information Systems, Health Information Management, Electrical and Electronic Engineering, Artificial Intelligence and Management Science and Operations Research, having authored 36 papers that have together received 388 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (6 papers), Artificial Intelligence in Healthcare (6 papers), Data Quality and Management (5 papers), Advanced SAR Imaging Techniques (5 papers), Lattice Boltzmann Simulation Studies (4 papers), Radar Systems and Signal Processing (4 papers), Fluid Dynamics Simulations and Interactions (3 papers) and Fluid Dynamics and Heat Transfer (3 papers). The work is most often cited by research in Health Information Management (27 citations), Signal Processing (52 citations), Computational Mechanics (72 citations), Toxicology (11 citations) and Computer Networks and Communications (72 citations). Belaid Moa has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Issa Traoré, Conrad Rizal, Curran Crawford, Peter Oshkai, Bradley J. Buckham, Fayez Gebali, Douglas Rennehan, Romeel Davé, Arif Babul and Peter F. Driessen. Their work appears in journals such as Monthly Notices of the Royal Astronomical Society, Journal of Ocean Engineering and Marine Energy, IEEE Access, Frontiers in Plant Science and Briefings in Bioinformatics.
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.