Nisreen Innab
Impact in
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- Network Security and Intrusion Detection
- IoT and Edge/Fog Computing
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
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- Imbalanced Data Classification Techniques 5
- AI in cancer detection 5
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- Network Security and Intrusion Detection 10
- IoT and Edge/Fog Computing 7
- Advanced Authentication Protocols Security 5
- Co-authors
- Ali Ahmadian (8 shared papers)Satvik Vats (1 shared paper)David Taniar (1 shared paper)Amit Singh (1 shared paper)Abir Mouldi (1 shared paper)Mohd Yazid Bajuri (1 shared paper)Devesh Pratap Singh (1 shared paper)Vikrant Sharma (1 shared paper)
- Journals
- Scientific Reports (6 papers)IEEE Access (5 papers)Annals of Operations Research (5 papers)PLoS ONE (4 papers)PeerJ Computer Science (3 papers)
- Partner nations
- Saudi ArabiaPakistanChina
In The Last Decade
Nisreen Innab
81 papers receiving 499 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Networks and Communications 109
- Signal Processing 49
- Health Informatics 6
- Artificial Intelligence 133
- Information Systems 79
Countries citing papers authored by Nisreen Innab
This map shows the geographic impact of Nisreen Innab'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 Nisreen Innab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nisreen Innab more than expected).
Fields of papers citing papers by Nisreen Innab
This network shows the impact of papers produced by Nisreen Innab. 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 Nisreen Innab. The network helps show where Nisreen Innab may publish in the future.
Co-authors
The 25 scholars most cited alongside Nisreen Innab, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images Hit paper breakdown → | 2024 | 121 |
| 2 | 2023 | 32 | |
| 3 | 2024 | 18 | |
| 4 | 2024 | 16 | |
| 5 | 2024 | 13 | |
| 6 | 2018 | 12 | |
| 7 | 2022 | 12 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 11 | |
| 10 | 2018 | 11 | |
| 11 | 2023 | 10 | |
| 12 | 2023 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2012 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2023 | 7 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 6 |
About Nisreen Innab
Nisreen Innab is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 95 papers that have together received 518 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Advanced Malware Detection Techniques (8 papers), IoT and Edge/Fog Computing (7 papers), Artificial Intelligence in Healthcare (6 papers), Advanced Authentication Protocols Security (5 papers), Smart Agriculture and AI (5 papers), Imbalanced Data Classification Techniques (5 papers) and AI in cancer detection (5 papers). The work is most often cited by research in Computer Networks and Communications (109 citations), Signal Processing (49 citations), Health Informatics (6 citations), Artificial Intelligence (133 citations) and Information Systems (79 citations). Nisreen Innab has collaborated with scholars based in Saudi Arabia, Pakistan and China. Frequent co-authors include Ali Ahmadian, Satvik Vats, David Taniar, Amit Singh, Abir Mouldi, Mohd Yazid Bajuri, Devesh Pratap Singh, Vikrant Sharma, Muhammad Umer and M. M. Kamruzzaman. Their work appears in journals such as Scientific Reports, IEEE Access, Annals of Operations Research, PLoS ONE and PeerJ Computer Science.
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.