Amira Bibo Sallow

970 total citations · 1 hit paper
46 papers, 548 citations indexed

About

Amira Bibo Sallow is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Amira Bibo Sallow has authored 46 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Networks and Communications, 14 papers in Artificial Intelligence and 11 papers in Information Systems. Recurrent topics in Amira Bibo Sallow's work include Network Security and Intrusion Detection (6 papers), Artificial Intelligence in Healthcare (5 papers) and Advanced Malware Detection Techniques (5 papers). Amira Bibo Sallow is often cited by papers focused on Network Security and Intrusion Detection (6 papers), Artificial Intelligence in Healthcare (5 papers) and Advanced Malware Detection Techniques (5 papers). Amira Bibo Sallow collaborates with scholars based in Iraq, Malaysia and Cambodia. Amira Bibo Sallow's co-authors include Subhi R. M. Zeebaree, Rizgar R. Zebari, Saman M. Almufti‎, Adnan Mohsin Abdulazeez, Mohammed A. M. Sadeeq, Siddeeq Y. Ameen, Ibrahim Mahmood Ibrahim, Hajar Maseeh Yasin, Mohammed Hazim Alkawaz and Zainab Salih Ageed and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and Revue d intelligence artificielle.

In The Last Decade

Amira Bibo Sallow

41 papers receiving 518 citations

Hit Papers

eXtreme Gradient Boosting Algorithm with Machine Learning... 2023 2026 2024 2025 2023 25 50 75 100
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. eXtreme Gradient Boosting Algorithm with Machine Learning: a Review
    2023 112 citations Amira Bibo Sallow, Saman M. Almufti‎ et al. Academic Journal of Nawroz University profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amira Bibo Sallow Iraq 12 111 107 87 76 64 46 548
P. Asha India 11 81 0.7× 90 0.8× 53 0.6× 65 0.9× 62 1.0× 60 500
Ala’ Abdulmajid Eshmawi Saudi Arabia 14 96 0.9× 211 2.0× 83 1.0× 132 1.7× 41 0.6× 38 585
Md. Sakib Bin Alam Bangladesh 8 65 0.6× 194 1.8× 79 0.9× 113 1.5× 73 1.1× 20 731
Susmita Ray India 5 53 0.5× 178 1.7× 63 0.7× 69 0.9× 68 1.1× 7 625
Mukesh Kumar India 13 130 1.2× 169 1.6× 47 0.5× 118 1.6× 49 0.8× 55 584
Su-Wen Huang Taiwan 5 50 0.5× 161 1.5× 64 0.7× 44 0.6× 43 0.7× 9 623
Bhushankumar Nemade India 10 91 0.8× 195 1.8× 163 1.9× 55 0.7× 58 0.9× 27 808
A. Suresh India 17 97 0.9× 162 1.5× 81 0.9× 184 2.4× 111 1.7× 81 774
Atif Rizwan South Korea 15 50 0.5× 161 1.5× 65 0.7× 48 0.6× 96 1.5× 48 508
Safa Ben Atitallah Saudi Arabia 9 73 0.7× 147 1.4× 52 0.6× 137 1.8× 54 0.8× 16 451

Countries citing papers authored by Amira Bibo Sallow

Since Specialization
Citations

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

Fields of papers citing papers by Amira Bibo Sallow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amira Bibo Sallow. 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 Amira Bibo Sallow. The network helps show where Amira Bibo Sallow may publish in the future.

Co-authorship network of co-authors of Amira Bibo Sallow

This figure shows the co-authorship network connecting the top 25 collaborators of Amira Bibo Sallow. A scholar is included among the top collaborators of Amira Bibo Sallow 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 Amira Bibo Sallow. Amira Bibo Sallow 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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Almufti‎, Saman M., et al.. (2024). INTELLIGENT HOME IOT DEVICES: AN EXPLORATION OF MACHINE LEARNING-BASED NETWORKED TRAFFIC INVESTIGATION. 8(1). 1–10. 2 indexed citations
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Asaad, Renas Rajab, et al.. (2024). SMART HOME ENERGY SAVING WITH BIG DATA AND MACHINE LEARNING. 8(1). 11–20. 7 indexed citations
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Asaad, Renas Rajab, et al.. (2024). Machine Learning in Nonlinear Material Physics. International Journal of Sustainable Construction Engineering and Technology (Universiti Tun Hussein Onn Malaysia). 5(1). 3 indexed citations
8.
Ibrahim, Ibrahim Mahmood & Amira Bibo Sallow. (2023). Feature Selection for Android Malware Detection with Random Forest on Smartphones. Revue d intelligence artificielle. 37(4). 857–869.
9.
Ibrahim, Ibrahim M. & Amira Bibo Sallow. (2023). GUARDING ANDROID: A COMPREHENSIVE REVIEW OF INTRUSION DETECTION TECHNIQUES FOR SMARTPHONES. SHILAP Revista de lepidopterología. 11(4). 469–480. 1 indexed citations
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Sallow, Amira Bibo, et al.. (2022). Concepts of E-Governance Development: A Review. SHILAP Revista de lepidopterología. 8(1). 1 indexed citations
11.
Sallow, Amira Bibo, et al.. (2022). Disease Diagnosis Systems Using Machine Learning and Deep learning Techniques Based on TensorFlow Toolkit: A review. SHILAP Revista de lepidopterología. 16(1). 111–120. 2 indexed citations
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Sallow, Amira Bibo, et al.. (2021). A Comprehensive Survey of Deep Learning Models Based on Keras Framework. International Journal of Sustainable Construction Engineering and Technology (Universiti Tun Hussein Onn Malaysia). 2(2). 16 indexed citations
13.
Sallow, Amira Bibo. (2021). Implementation and Analysis of Fractals Shapes using GPU-CUDA Model. Academic Journal of Nawroz University. 10(2). 1–1. 2 indexed citations
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Sallow, Amira Bibo. (2020). Design And Implementation Distributed System Using Java-RMI Middleware. Academic Journal of Nawroz University. 9(1). 113–113. 2 indexed citations
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Sallow, Amira Bibo, et al.. (2019). Initiating an Outcome-Based Education Environment at a Higher Education Institution: A Case Study. Academic Journal of Nawroz University. 8(3). 39–39. 1 indexed citations
16.
Sallow, Amira Bibo, et al.. (2019). Optic Disc Detection and Segmentation in Retinal Fundus Image. 23–28. 3 indexed citations
17.
Hassan, Rohayanti, et al.. (2017). Supervised classification and improved filtering method for shoreline detection. Journal of Theoretical and Applied Information Technology. 95(20). 5628–5636. 1 indexed citations
18.
Sallow, Amira Bibo, et al.. (2017). Mobile Cloud Computing: A Review. Academic Journal of Nawroz University. 6(3). 129–134. 2 indexed citations
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Sallow, Amira Bibo, et al.. (2017). Android Security: A Review. Academic Journal of Nawroz University. 6(3). 135–140. 7 indexed citations
20.
Sallow, Amira Bibo, et al.. (2014). Constructing Sierpinski Gasket Using GPUs Arrays. Zenodo (CERN European Organization for Nuclear Research). 1 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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