Mona Jamjoom

1.8k total citations
73 papers, 1.0k citations indexed

About

Mona Jamjoom is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Mona Jamjoom has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Information Systems. Recurrent topics in Mona Jamjoom's work include Imbalanced Data Classification Techniques (7 papers), AI in cancer detection (7 papers) and Brain Tumor Detection and Classification (6 papers). Mona Jamjoom is often cited by papers focused on Imbalanced Data Classification Techniques (7 papers), AI in cancer detection (7 papers) and Brain Tumor Detection and Classification (6 papers). Mona Jamjoom collaborates with scholars based in Saudi Arabia, Pakistan and Egypt. Mona Jamjoom's co-authors include Zahid Ullah, Nagwan Abdel Samee, Farrukh Saleem, Amel Ksibi, Essam H. Houssein, Abdelaziz A. Abdelhamid, Marwa M. Emam, Abdelhameed Ibrahim‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Ben Othman Soufiene and El‐Sayed M. El‐kenawy and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mona Jamjoom

64 papers receiving 970 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mona Jamjoom Saudi Arabia 18 363 204 140 107 104 73 1.0k
Khan Md. Hasib Bangladesh 18 538 1.5× 137 0.7× 143 1.0× 77 0.7× 46 0.4× 49 1.0k
Shakir Khan Saudi Arabia 21 457 1.3× 255 1.3× 210 1.5× 171 1.6× 35 0.3× 81 1.3k
Sushruta Mishra India 21 288 0.8× 155 0.8× 53 0.4× 149 1.4× 79 0.8× 87 1.1k
Mejdl Safran Saudi Arabia 15 197 0.5× 91 0.4× 41 0.3× 112 1.0× 88 0.8× 92 719
Sultan Alfarhood Saudi Arabia 15 238 0.7× 113 0.6× 59 0.4× 123 1.1× 87 0.8× 91 743
Hanan Aljuaid Saudi Arabia 19 544 1.5× 317 1.6× 72 0.5× 192 1.8× 54 0.5× 71 1.3k
Madallah Alruwaili Saudi Arabia 19 326 0.9× 179 0.9× 72 0.5× 105 1.0× 134 1.3× 57 973
Ben Othman Soufiene Tunisia 20 226 0.6× 194 1.0× 100 0.7× 213 2.0× 123 1.2× 56 1.1k
Saad Alanazi Saudi Arabia 20 376 1.0× 145 0.7× 62 0.4× 132 1.2× 135 1.3× 84 1.1k
Hanan Abdullah Mengash Saudi Arabia 13 239 0.7× 187 0.9× 24 0.2× 97 0.9× 24 0.2× 66 868

Countries citing papers authored by Mona Jamjoom

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mona Jamjoom

This figure shows the co-authorship network connecting the top 25 collaborators of Mona Jamjoom. A scholar is included among the top collaborators of Mona Jamjoom 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 Mona Jamjoom. Mona Jamjoom is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Ksibi, Amel, et al.. (2025). Breast cancer prediction with feature-selected XGB classifier, optimized by metaheuristic algorithms. Journal Of Big Data. 12(1). 2 indexed citations
3.
Hussain, Nasir, et al.. (2025). Quantum-aware secure blockchain intrusion detection system for industrial IoT networks. Scientific Reports. 16(1). 2265–2265.
4.
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Malik, Muhammad Shahid Iqbal, et al.. (2024). Categorization of tweets for damages: infrastructure and human damage assessment using fine-tuned BERT model. PeerJ Computer Science. 10. e1859–e1859. 9 indexed citations
6.
Malik, Muhammad Shahid Iqbal, et al.. (2024). Hate Speech and Target Community Detection in Nastaliq Urdu Using Transfer Learning Techniques. IEEE Access. 12. 116875–116890. 8 indexed citations
7.
Elhadad, Ahmed, Mona Jamjoom, & Hussein Abulkasim. (2024). Reduction of NIFTI files storage and compression to facilitate telemedicine services based on quantization hiding of downsampling approach. Scientific Reports. 14(1). 5168–5168. 4 indexed citations
8.
Ullah, Zahid, et al.. (2024). A Deep Learning Based Intelligent Decision Support System for Automatic Detection of Brain Tumor. SHILAP Revista de lepidopterología. 15. 3476603274–3476603274. 4 indexed citations
9.
Munir, Kashif, et al.. (2024). A novel meta learning based stacked approach for diagnosis of thyroid syndrome. PLoS ONE. 19(11). e0312313–e0312313. 4 indexed citations
10.
Abdel-Salam, Mahmoud, Essam H. Houssein, Marwa M. Emam, et al.. (2024). An adaptive enhanced human memory algorithm for multi-level image segmentation for pathological lung cancer images. Computers in Biology and Medicine. 183. 109272–109272. 16 indexed citations
11.
Adil, Muhammad, Yinjun Zhang, Mona Jamjoom, & Zahid Ullah. (2024). OptDevNet: A Optimized Deep Event-Based Network Framework for Credit Card Fraud Detection. IEEE Access. 12. 132421–132433. 4 indexed citations
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Chen, Wenyu, Md Altab Hossin, Chiagoziem C. Ukwuoma, et al.. (2023). Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language. Systems. 12(1). 1–1. 4 indexed citations
14.
Atteia, Ghada, El‐Sayed M. El‐kenawy, Nagwan Abdel Samee, et al.. (2023). Adaptive Dynamic Dipper Throated Optimization for Feature Selection in Medical Data. Computers, materials & continua/Computers, materials & continua (Print). 75(1). 1883–1900. 45 indexed citations
15.
Hassan, Muhammad Umair, Sara Ghorashi, Mona Jamjoom, et al.. (2023). Efficient Trajectory Clustering with Road Network Constraints Based on Spatiotemporal Buffering. ISPRS International Journal of Geo-Information. 12(3). 117–117. 6 indexed citations
16.
Ullah, Zahid, et al.. (2023). EffiMob-Net: A Deep Learning-Based Hybrid Model for Detection and Identification of Tomato Diseases Using Leaf Images. Agriculture. 13(3). 737–737. 34 indexed citations
17.
Houssein, Essam H., et al.. (2023). A Novel Hybrid Runge Kutta Optimizer with Support Vector Machine on Gene Expression Data for Cancer Classification. Diagnostics. 13(9). 1621–1621. 6 indexed citations
18.
Emam, Marwa M., Nagwan Abdel Samee, Mona Jamjoom, & Essam H. Houssein. (2023). Optimized deep learning architecture for brain tumor classification using improved Hunger Games Search Algorithm. Computers in Biology and Medicine. 160. 106966–106966. 46 indexed citations
19.
Rizwan, Atif, et al.. (2022). Aggression Detection in Social Media from Textual Data Using Deep Learning Models. Applied Sciences. 12(10). 5083–5083. 32 indexed citations
20.
Ullah, Zahid, Farrukh Saleem, Mona Jamjoom, & Bahjat Fakieh. (2021). Reliable Prediction Models Based on Enriched Data for Identifying the Mode of Childbirth by Using Machine Learning Methods: Development Study. Journal of Medical Internet Research. 23(6). e28856–e28856. 26 indexed citations

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.

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