Noha Alnazzawi
- Artificial Intelligence top 10%
- Information Systems top 10%
- Information Systems and Management top 5%
- Sociology and Political Science
- Management Information Systems top 10%
- Co-authors
- Said A. SalloumRaghad AlfaisalIman AkourKhadija AlhumaidMohammed Amin AlmaiahPaul M. ThompsonSophia AnaniadouRana Saeed Al-Maroof
- Topics
- Technology Adoption and User Behaviour (6 papers)Energy Efficient Wireless Sensor Networks (5 papers)Topic Modeling (4 papers)
- Journals
- PLoS ONEIEEE AccessSensors
- Partner nations
- Saudi ArabiaUnited KingdomPakistan
In The Last Decade
Noha Alnazzawi
28 papers receiving 486 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 200
- Information Systems 82
- Information Systems and Management 73
- Sociology and Political Science 61
- Management Information Systems 54
Countries citing papers authored by Noha Alnazzawi
This map shows the geographic impact of Noha Alnazzawi'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 Noha Alnazzawi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noha Alnazzawi more than expected).
Fields of papers citing papers by Noha Alnazzawi
This network shows the impact of papers produced by Noha Alnazzawi. 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 Noha Alnazzawi. The network helps show where Noha Alnazzawi may publish in the future.
Co-authorship network of co-authors of Noha Alnazzawi
This figure shows the co-authorship network connecting the top 25 collaborators of Noha Alnazzawi. A scholar is included among the top collaborators of Noha Alnazzawi 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 Noha Alnazzawi. Noha Alnazzawi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Cybersecurity Solutions for Industrial Internet of Things–Edge Computing Integration: Challenges, Threats, and Future Directionsbreakdown → | 23 |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 17 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 77 | |
| 12 | 8 | |
| 13 | 7 | |
| 14 | 23 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 16 |
About Noha Alnazzawi
Noha Alnazzawi is a scholar working on Information Systems and Management, Signal Processing and Artificial Intelligence, having authored 32 papers that have together received 508 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (6 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Topic Modeling (4 papers). The work is most often cited by research in Health Informatics (19 citations), Information Systems and Management (73 citations) and Artificial Intelligence (200 citations). Noha Alnazzawi has collaborated with scholars based in Saudi Arabia, United Kingdom and Pakistan. Frequent co-authors include Said A. Salloum, Raghad Alfaisal, Iman Akour, Khadija Alhumaid, Mohammed Amin Almaiah, Paul M. Thompson, Sophia Ananiadou, Rana Saeed Al-Maroof, Muhammad Turki Alshurideh and Barween Al Kurdi. Their work appears in journals such as PLoS ONE, IEEE Access 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.