Fatima Dakalbab

1.1k total citations · 1 hit paper
13 papers, 523 citations indexed

About

Fatima Dakalbab is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, Fatima Dakalbab has authored 13 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Networks and Communications and 2 papers in Control and Systems Engineering. Recurrent topics in Fatima Dakalbab's work include Crime Patterns and Interventions (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Topic Modeling (2 papers). Fatima Dakalbab is often cited by papers focused on Crime Patterns and Interventions (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Topic Modeling (2 papers). Fatima Dakalbab collaborates with scholars based in United Arab Emirates and Latvia. Fatima Dakalbab's co-authors include Manar Abu Talib, Qassim Nasir, Ali Bou Nassif, Anissa M. Bettayeb, Sohail Abbas, Chaouki Ghenaï, Maâmar Bettayeb and Noura Metawa and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Journal of King Saud University - Computer and Information Sciences.

In The Last Decade

Fatima Dakalbab

10 papers receiving 481 citations

Hit Papers

Machine Learning for Anom... 2021 2026 2022 2024 2021 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Machine Learning for Anomaly Detection: A Systematic Review
    2021 342 citations Ali Bou Nassif, Manar Abu Talib et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatima Dakalbab United Arab Emirates 5 291 213 92 82 79 13 523
Nima Jafari Navimipour Taiwan 11 229 0.8× 198 0.9× 56 0.6× 125 1.5× 47 0.6× 26 524
Syed Atif Moqurrab Pakistan 13 236 0.8× 164 0.8× 58 0.6× 149 1.8× 27 0.3× 34 491
Preeti Gulia India 13 187 0.6× 174 0.8× 71 0.8× 140 1.7× 56 0.7× 95 571
Ferhat Özgür Çatak Norway 17 422 1.5× 254 1.2× 203 2.2× 188 2.3× 54 0.7× 61 741
Ashraf Osman Ibrahim Malaysia 14 221 0.8× 154 0.7× 45 0.5× 122 1.5× 43 0.5× 72 569
Bahari Belaton Malaysia 12 267 0.9× 337 1.6× 159 1.7× 78 1.0× 44 0.6× 48 597
Cik Feresa Mohd Foozy Malaysia 10 351 1.2× 361 1.7× 221 2.4× 149 1.8× 46 0.6× 35 590
Michele Ianni Italy 9 279 1.0× 100 0.5× 54 0.6× 66 0.8× 17 0.2× 36 420
Wenyu Zhang Singapore 8 391 1.3× 127 0.6× 148 1.6× 45 0.5× 134 1.7× 25 597
Yasir Ali Pakistan 9 87 0.3× 246 1.2× 70 0.8× 144 1.8× 50 0.6× 41 429

Countries citing papers authored by Fatima Dakalbab

Since Specialization
Citations

This map shows the geographic impact of Fatima Dakalbab'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 Fatima Dakalbab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatima Dakalbab more than expected).

Fields of papers citing papers by Fatima Dakalbab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fatima Dakalbab. 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 Fatima Dakalbab. The network helps show where Fatima Dakalbab may publish in the future.

Co-authorship network of co-authors of Fatima Dakalbab

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

All Works

13 of 13 papers shown
1.
Talib, Manar Abu, et al.. (2025). Future aviation jobs: The role of technology in shaping skills and competencies. Journal of Open Innovation Technology Market and Complexity. 11(2). 100517–100517. 3 indexed citations
2.
Talib, Manar Abu, et al.. (2025). Evaluating large language models: a systematic review of efficiency, applications, and future directions. Frontiers in Computer Science. 7. 3 indexed citations
3.
Dakalbab, Fatima, et al.. (2025). Advancing Forex prediction through multimodal text-driven model and attention mechanisms. Intelligent Systems with Applications. 26. 200518–200518. 1 indexed citations
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Bettayeb, Anissa M., et al.. (2024). Exploring the impact of ChatGPT: conversational AI in education. Frontiers in Education. 9. 34 indexed citations
7.
Dakalbab, Fatima, et al.. (2024). Artificial intelligence techniques in financial trading: A systematic literature review. Journal of King Saud University - Computer and Information Sciences. 36(3). 102015–102015. 19 indexed citations
8.
Dakalbab, Fatima, et al.. (2022). Artificial intelligence & crime prediction: A systematic literature review. SHILAP Revista de lepidopterología. 6(1). 100342–100342. 35 indexed citations
9.
Dakalbab, Fatima, et al.. (2022). Artificial Intelligence & Crime Prediction: A Systematic Literature Review. SSRN Electronic Journal.
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Dakalbab, Fatima, et al.. (2022). Security in Robot Operating Systems (ROS): analytical review study. IET conference proceedings.. 2022(14). 79–94. 1 indexed citations
12.
Nassif, Ali Bou, Manar Abu Talib, Qassim Nasir, & Fatima Dakalbab. (2021). Machine Learning for Anomaly Detection: A Systematic Review. IEEE Access. 9. 78658–78700. 342 indexed citations breakdown →
13.
Nassif, Ali Bou, et al.. (2021). Machine Learning for Cloud Security: A Systematic Review. IEEE Access. 9. 20717–20735. 82 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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