Addi Ait‐Mlouk
Impact in
- Artificial Intelligence top 10%
- AI in Service Interactions
- Privacy-Preserving Technologies in Data
- Topic Modeling
- Cryptography and Data Security
Papers in
-
- Privacy-Preserving Technologies in Data 5
- Imbalanced Data Classification Techniques 3
- Cryptography and Data Security 2
-
- Data Mining Algorithms and Applications 10
- Co-authors
- Lili Jiang (3 shared papers)Tarik Agouti (10 shared papers)Sadi Alawadi (3 shared papers)Andreas Hellander (3 shared papers)Salman Toor (3 shared papers)Prashant Singh (1 shared paper)Xuan-Son Vu (2 shared papers)Ola Spjuth (1 shared paper)
- Journals
- Indian Journal of Science and Technology (2 papers)Applied Sciences (1 paper)European Transport Research Review (1 paper)Journal of Intelligent Manufacturing (1 paper)Journal Of Big Data (1 paper)
- Partner nations
- MoroccoSwedenUnited Kingdom
In The Last Decade
Addi Ait‐Mlouk
18 papers receiving 238 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 10
- Artificial Intelligence 142
- Information Systems 68
- Computer Science Applications 15
- Building and Construction 37
Countries citing papers authored by Addi Ait‐Mlouk
This map shows the geographic impact of Addi Ait‐Mlouk'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 Addi Ait‐Mlouk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Addi Ait‐Mlouk more than expected).
Fields of papers citing papers by Addi Ait‐Mlouk
This network shows the impact of papers produced by Addi Ait‐Mlouk. 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 Addi Ait‐Mlouk. The network helps show where Addi Ait‐Mlouk may publish in the future.
Co-authors
The 19 scholars most cited alongside Addi Ait‐Mlouk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 80 | |
| 2 | 2017 | 30 | |
| 3 | 2022 | 27 | |
| 4 | 2017 | 20 | |
| 5 | 2015 | 13 | |
| 6 | 2019 | 12 | |
| 7 | 2016 | 11 | |
| 8 | 2022 | 10 | |
| 9 | 2015 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 6 | |
| 14 | 2024 | 4 | |
| 15 | 2020 | 3 | |
| 16 | 2018 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2017 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Addi Ait‐Mlouk
Addi Ait‐Mlouk is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Networks and Communications and Signal Processing, having authored 20 papers that have together received 249 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (10 papers), Rough Sets and Fuzzy Logic (6 papers), Privacy-Preserving Technologies in Data (5 papers), Imbalanced Data Classification Techniques (3 papers), Data Management and Algorithms (2 papers), Cryptography and Data Security (2 papers), Mobile Crowdsensing and Crowdsourcing (2 papers) and Mobile Ad Hoc Networks (2 papers). The work is most often cited by research in Health Informatics (10 citations), Artificial Intelligence (142 citations), Information Systems (68 citations), Computer Science Applications (15 citations) and Building and Construction (37 citations). Addi Ait‐Mlouk has collaborated with scholars based in Morocco, Sweden and United Kingdom. Frequent co-authors include Lili Jiang, Tarik Agouti, Sadi Alawadi, Andreas Hellander, Salman Toor, Prashant Singh, Xuan-Son Vu, Ola Spjuth, Erik Elmroth and Said Raghay. Their work appears in journals such as Indian Journal of Science and Technology, Applied Sciences, European Transport Research Review, Journal of Intelligent Manufacturing and Journal Of Big Data.
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.