Hajar Mousannif
- Artificial Intelligence top 2%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Health Information Management top 0.5%
- Safety, Risk, Reliability and Quality top 1%
- Co-authors
- Hassan Al MoatassimeThomas NoëlHiba AsriAimad KarkouchZouhair Elamrani Abou ElassadAafaf OuaddahAbdellah Ait OuahmanAnas Abou Elkalam
- Topics
- IoT and Edge/Fog Computing (8 papers)Traffic Prediction and Management Techniques (8 papers)Traffic and Road Safety (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsTransportation Research Part C Emerging Technologies
In The Last Decade
Hajar Mousannif
50 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 796
- Computer Networks and Communications 418
- Information Systems 367
- Health Information Management 300
- Safety, Risk, Reliability and Quality 267
Countries citing papers authored by Hajar Mousannif
This map shows the geographic impact of Hajar Mousannif'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 Hajar Mousannif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajar Mousannif more than expected).
Fields of papers citing papers by Hajar Mousannif
This network shows the impact of papers produced by Hajar Mousannif. 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 Hajar Mousannif. The network helps show where Hajar Mousannif may publish in the future.
Co-authorship network of co-authors of Hajar Mousannif
This figure shows the co-authorship network connecting the top 25 collaborators of Hajar Mousannif. A scholar is included among the top collaborators of Hajar Mousannif 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 Hajar Mousannif. Hajar Mousannif is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 64 | |
| 13 | 6 | |
| 14 | 20 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 22 | |
| 19 | 7 | |
| 20 | 1 |
About Hajar Mousannif
Hajar Mousannif is a scholar working on Health Information Management, Safety, Risk, Reliability and Quality and Computer Networks and Communications, having authored 58 papers that have together received 2.0k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Traffic Prediction and Management Techniques (8 papers) and Traffic and Road Safety (8 papers). The work is most often cited by research in Health Information Management (300 citations), Safety, Risk, Reliability and Quality (267 citations) and Artificial Intelligence (796 citations). Hajar Mousannif has collaborated with scholars based in Morocco, France and Austria. Frequent co-authors include Hassan Al Moatassime, Thomas Noël, Hiba Asri, Aimad Karkouch, Zouhair Elamrani Abou Elassad, Aafaf Ouaddah, Abdellah Ait Ouahman, Anas Abou Elkalam, Ismaïl Khalil and Stephan Olariu. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Transportation Research Part C Emerging Technologies.
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.