Mona Jamjoom
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Online Learning and Analytics
- Teaching and Learning Programming
Papers in
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- Imbalanced Data Classification Techniques 7
- AI in cancer detection 7
- Sentiment Analysis and Opinion Mining 6
- Hate Speech and Cyberbullying Detection 5
- Topic Modeling 4
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- Video Surveillance and Tracking Methods 5
- Co-authors
- Zahid Ullah (23 shared papers)Nagwan Abdel Samee (21 shared papers)Farrukh Saleem (7 shared papers)El‐Sayed M. El‐kenawy (3 shared papers)Abdelhameed Ibrahim (3 shared papers)Abdelaziz A. Abdelhamid (3 shared papers)Essam H. Houssein (5 shared papers)Amel Ksibi (4 shared papers)
- Journals
- IEEE Access (11 papers)Computers, materials & continua/Computers, materials & continua (Print) (8 papers)Scientific Reports (6 papers)Computers in Biology and Medicine (4 papers)PeerJ Computer Science (4 papers)
- Partner nations
- Saudi ArabiaPakistanEgypt
In The Last Decade
Mona Jamjoom
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 130
- Neurology 152
- Computer Science Applications 93
- Health Information Management 56
- Artificial Intelligence 398
- Computer Vision and Pattern Recognition 215
Countries citing papers authored by Mona Jamjoom
This map shows the geographic impact of Mona Jamjoom'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 Mona Jamjoom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mona Jamjoom more than expected).
Fields of papers citing papers by Mona Jamjoom
This network shows the impact of papers produced by Mona Jamjoom. 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 Mona Jamjoom. The network helps show where Mona Jamjoom may publish in the future.
Co-authors
The 25 scholars most cited alongside Mona Jamjoom, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 92 | |
| 2 | 2023 | 76 | |
| 3 | 2023 | 60 | |
| 4 | 2023 | 56 | |
| 5 | 2020 | 55 | |
| 6 | 2018 | 54 | |
| 7 | 2022 | 53 | |
| 8 | 2023 | 53 | |
| 9 | 2022 | 47 | |
| 10 | 2023 | 40 | |
| 11 | 2022 | 34 | |
| 12 | 2023 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2021 | 26 | |
| 15 | 2019 | 25 | |
| 16 | 2024 | 22 | |
| 17 | 2024 | 21 | |
| 18 | 2022 | 20 | |
| 19 | 2023 | 20 | |
| 20 | 2022 | 19 |
About Mona Jamjoom
Mona Jamjoom is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 78 papers that have together received 1.2k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (7 papers), AI in cancer detection (7 papers), Sentiment Analysis and Opinion Mining (6 papers), Brain Tumor Detection and Classification (6 papers), Hate Speech and Cyberbullying Detection (5 papers), Video Surveillance and Tracking Methods (5 papers), Vehicle License Plate Recognition (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Neurology (152 citations), Computer Science Applications (93 citations), Health Information Management (56 citations), Artificial Intelligence (398 citations) and Computer Vision and Pattern Recognition (215 citations). Mona Jamjoom has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Zahid Ullah, Nagwan Abdel Samee, Farrukh Saleem, El‐Sayed M. El‐kenawy, Abdelhameed Ibrahim, Abdelaziz A. Abdelhamid, Essam H. Houssein, Amel Ksibi, Marwa M. Emam and Muhammad Shahid Iqbal Malik. Their work appears in journals such as IEEE Access, Computers, materials & continua/Computers, materials & continua (Print), Scientific Reports, Computers in Biology and Medicine 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.