Manar Abu Talib

4.0k total citations · 5 hit papers
105 papers, 2.3k citations indexed

About

Manar Abu Talib is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Manar Abu Talib has authored 105 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Information Systems, 29 papers in Artificial Intelligence and 23 papers in Computer Networks and Communications. Recurrent topics in Manar Abu Talib's work include Software Engineering Research (14 papers), IoT and Edge/Fog Computing (13 papers) and Software Reliability and Analysis Research (12 papers). Manar Abu Talib is often cited by papers focused on Software Engineering Research (14 papers), IoT and Edge/Fog Computing (13 papers) and Software Reliability and Analysis Research (12 papers). Manar Abu Talib collaborates with scholars based in United Arab Emirates, Canada and United States. Manar Abu Talib's co-authors include Qassim Nasir, Ali Bou Nassif, Fatima Dakalbab, Ilham Qasse, Mohamed Abdallah, Anissa M. Bettayeb, Hadeer Abdalla, Sainab Feroz, Yaman Afadar and Sohail Abbas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Manar Abu Talib

88 papers receiving 2.2k citations

Hit Papers

Machine Learning for Anomaly Detection: A Systema... 2018 2026 2020 2023 2021 2020 2018 2022 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. profile →
  2. Artificial intelligence applications in solid waste management: A systematic research review
    2020 306 citations Mohamed Abdallah, Manar Abu Talib et al. profile →
  3. Performance Analysis of Hyperledger Fabric Platforms
    2018 241 citations Qassim Nasir, Ilham Qasse et al. profile →
  4. Breast cancer detection using artificial intelligence techniques: A systematic literature review
    2022 187 citations Ali Bou Nassif, Manar Abu Talib et al. profile →
  5. Analytical study on the impact of technology in higher education during the age of COVID-19: Systematic literature review
    2021 134 citations Manar Abu Talib et al. Education and Information Technologies profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manar Abu Talib United Arab Emirates 20 809 693 623 259 225 105 2.3k
Qassim Nasir United Arab Emirates 19 684 0.8× 694 1.0× 700 1.1× 342 1.3× 245 1.1× 112 2.2k
Karl Andersson Sweden 31 996 1.2× 1.0k 1.4× 855 1.4× 425 1.6× 205 0.9× 200 3.5k
Mueen Uddin Saudi Arabia 30 865 1.1× 684 1.0× 983 1.6× 460 1.8× 164 0.7× 134 3.0k
Shah Nazir Pakistan 29 784 1.0× 1.0k 1.5× 893 1.4× 278 1.1× 271 1.2× 173 3.6k
Manoj Kumar India 31 625 0.8× 726 1.0× 834 1.3× 431 1.7× 281 1.2× 236 3.0k
Azween Abdullah Malaysia 29 708 0.9× 663 1.0× 1.4k 2.3× 638 2.5× 406 1.8× 208 3.4k
Chin‐Ling Chen Taiwan 26 1.2k 1.5× 691 1.0× 1.1k 1.7× 259 1.0× 172 0.8× 209 2.3k
Jun‐Ho Huh South Korea 26 644 0.8× 470 0.7× 505 0.8× 604 2.3× 143 0.6× 164 2.5k
Umesh Kumar Lilhore India 20 325 0.4× 529 0.8× 539 0.9× 232 0.9× 134 0.6× 133 1.8k
Amr Tolba Saudi Arabia 33 1.2k 1.5× 1.2k 1.8× 1.5k 2.5× 855 3.3× 258 1.1× 266 4.1k

Countries citing papers authored by Manar Abu Talib

Since Specialization
Citations

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

Fields of papers citing papers by Manar Abu Talib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manar Abu Talib. 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 Manar Abu Talib. The network helps show where Manar Abu Talib may publish in the future.

Co-authorship network of co-authors of Manar Abu Talib

This figure shows the co-authorship network connecting the top 25 collaborators of Manar Abu Talib. A scholar is included among the top collaborators of Manar Abu Talib 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 Manar Abu Talib. Manar Abu Talib 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
1.
Talib, Manar Abu, et al.. (2025). Comparative analysis of machine learning and conventional methods for waste generation forecasting. Cleaner Engineering and Technology. 27. 100992–100992.
2.
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
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Nasir, Qassim, et al.. (2024). Comparison of deep learning algorithms for site detection of false data injection attacks in smart grids. Energy Informatics. 7(1). 3 indexed citations
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Talib, Manar Abu, et al.. (2024). Parameter-efficient fine-tuning of pre-trained code models for just-in-time defect prediction. Neural Computing and Applications. 36(27). 16911–16940. 2 indexed citations
8.
Talib, Manar Abu, et al.. (2024). A tree-based explainable AI model for early detection of Covid-19 using physiological data. BMC Medical Informatics and Decision Making. 24(1). 179–179. 3 indexed citations
9.
Talib, Manar Abu, et al.. (2024). An Artificial Intelligence (AI) Framework to Predict Operational Excellence: UAE Case Study. Applied Sciences. 14(6). 2569–2569. 1 indexed citations
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Talib, Manar Abu, et al.. (2024). An Overview of YOLO-Based Helmet Detection: Modifications and Advancements. 6–14. 1 indexed citations
12.
Talib, Manar Abu, et al.. (2024). Toward better blockchain-enabled energy trading between electric vehicles and smart grids in Internet of Things environments: a survey. Frontiers in Energy Research. 12. 6 indexed citations
13.
Nassif, Ali Bou, et al.. (2023). Software defect prediction using learning to rank approach. Scientific Reports. 13(1). 18885–18885. 6 indexed citations
14.
Talib, Manar Abu, et al.. (2023). The Potential of Blockchain Technology in Dental Healthcare: A Literature Review. Sensors. 23(6). 3277–3277. 10 indexed citations
15.
Talib, Manar Abu, et al.. (2022). APT beaconing detection: A systematic review. Computers & Security. 122. 102875–102875. 23 indexed citations
16.
Nassif, Ali Bou, et al.. (2021). Deep Learning Models to Detect Online False Information: A Systematic Literature Review. 1–5. 8 indexed citations
17.
Qasse, Ilham, et al.. (2020). Lightweight Blockchain-Based System for Internet of Things Security. 1–8. 2 indexed citations
18.
Nasir, Qassim, et al.. (2020). Novel blockchain reference model for government services: Dubai government case study. International Journal of Systems Assurance Engineering and Management. 11(6). 1170–1191. 35 indexed citations
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Talib, Manar Abu, Olga Ormandjieva, Alain Abran, Luigi Buglione, & Adel Khelifi. (2006). Scenario-based Black Box Testing in COSMIC-FFP: A Case Study. 8. 9 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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