Ammar Awad Mutlag

1.4k total citations · 1 hit paper
13 papers, 959 citations indexed

About

Ammar Awad Mutlag is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ammar Awad Mutlag has authored 13 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 8 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Ammar Awad Mutlag's work include IoT and Edge/Fog Computing (6 papers), Context-Aware Activity Recognition Systems (4 papers) and Artificial Intelligence in Healthcare (2 papers). Ammar Awad Mutlag is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Context-Aware Activity Recognition Systems (4 papers) and Artificial Intelligence in Healthcare (2 papers). Ammar Awad Mutlag collaborates with scholars based in Malaysia, Iraq and Saudi Arabia. Ammar Awad Mutlag's co-authors include Mazin Abed Mohammed, Othman Mohd, Mohd Khanapi Abd Ghani, N. Arunkumar, Karrar Hameed Abdulkareem, Salama A. Mostafa, Mashael Maashi, Mohammed Nasser Al‐Mhiqani, Begonya García-Zapirain and Nabeel Salih Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ammar Awad Mutlag

12 papers receiving 890 citations

Hit Papers

Enabling technologies for... 2018 2026 2020 2023 2018 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. Enabling technologies for fog computing in healthcare IoT systems
    2018 391 citations Ammar Awad Mutlag, Mohd Khanapi Abd Ghani et al. Future Generation Computer Systems profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ammar Awad Mutlag Malaysia 10 537 282 239 212 170 13 959
Muhammad Arif China 16 394 0.7× 180 0.6× 281 1.2× 160 0.8× 129 0.8× 41 1000
Ravinder Kumar India 16 263 0.5× 150 0.5× 357 1.5× 170 0.8× 123 0.7× 67 984
Revathi Sundarasekar India 7 301 0.6× 190 0.7× 191 0.8× 132 0.6× 63 0.4× 8 770
Dankan Gowda India 21 399 0.7× 307 1.1× 193 0.8× 78 0.4× 79 0.5× 137 1.3k
Gokulnath Chandra Babu India 11 213 0.4× 165 0.6× 293 1.2× 173 0.8× 94 0.6× 25 827
Fahad Algarni Saudi Arabia 13 309 0.6× 247 0.9× 183 0.8× 77 0.4× 62 0.4× 53 765
Venki Balasubramanian Australia 18 675 1.3× 644 2.3× 246 1.0× 109 0.5× 60 0.4× 58 1.3k
Amit Kishor India 10 252 0.5× 157 0.6× 151 0.6× 79 0.4× 65 0.4× 16 600
J. Uthayakumar India 12 231 0.4× 122 0.4× 310 1.3× 187 0.9× 55 0.3× 23 846
K. Umamaheswari India 12 426 0.8× 324 1.1× 233 1.0× 59 0.3× 39 0.2× 63 785

Countries citing papers authored by Ammar Awad Mutlag

Since Specialization
Citations

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

Fields of papers citing papers by Ammar Awad Mutlag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ammar Awad Mutlag. 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 Ammar Awad Mutlag. The network helps show where Ammar Awad Mutlag may publish in the future.

Co-authorship network of co-authors of Ammar Awad Mutlag

This figure shows the co-authorship network connecting the top 25 collaborators of Ammar Awad Mutlag. A scholar is included among the top collaborators of Ammar Awad Mutlag 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 Ammar Awad Mutlag. Ammar Awad Mutlag 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.
Ahmad, Sharifah Sakinah Syed, et al.. (2024). Attack graph-based security metrics: Concept, taxonomy, challenges and open issues. SHILAP Revista de lepidopterología. 97. 85–85.
2.
Mutlag, Ammar Awad, Mohd Khanapi Abd Ghani, Othman Mohd, et al.. (2023). A new fog computing resource management (FRM) model based on hybrid load balancing and scheduling for critical healthcare applications. Physical Communication. 59. 102109–102109. 19 indexed citations
3.
Mutlag, Ammar Awad, Mohd Khanapi Abd Ghani, Mazin Abed Mohammed, et al.. (2021). Multi-Agent Systems in Fog–Cloud Computing for Critical Healthcare Task Management Model (CHTM) Used for ECG Monitoring. Sensors. 21(20). 6923–6923. 39 indexed citations
4.
Mutlag, Ammar Awad, et al.. (2021). The Role of Hybrid IoT with Cloud Computing and Fog Computing to Help the Oil and Gas Industry Recover from Covid-19 and Face Future Challenges. SPE Annual Technical Conference and Exhibition. 2 indexed citations
5.
Mahmoud, Moamin A., Karrar Hameed Abdulkareem, Mazin Abed Mohammed, et al.. (2021). Comprehensive Review of Machine Learning (ML) in Image Defogging: Taxonomy of Concepts, Scenes, Feature Extraction, and Classification techniques. IET Image Processing. 16(2). 289–310. 18 indexed citations
6.
Mutlag, Ammar Awad, et al.. (2021). Attack graph reachability: concept, analysis, challenges and issues. Network Security. 2021(6). 13–19. 9 indexed citations
7.
Elhoseny, Mohamed, Mazin Abed Mohammed, Salama A. Mostafa, et al.. (2021). A New Multi-Agent Feature Wrapper Machine Learning Approach for Heart Disease Diagnosis. Computers, materials & continua/Computers, materials & continua (Print). 67(1). 51–71. 42 indexed citations
8.
Mohammed, Mazin Abed, Karrar Hameed Abdulkareem, Begonya García-Zapirain, et al.. (2021). A Comprehensive Investigation of Machine Learning Feature Extraction and Classification Methods for Automated Diagnosis of COVID-19 Based on X-Ray Images. Computers, materials & continua/Computers, materials & continua (Print). 66(3). 3289–3310. 60 indexed citations
9.
Mutlag, Ammar Awad, Mohd Khanapi Abd Ghani, Mazin Abed Mohammed, et al.. (2020). MAFC: Multi-Agent Fog Computing Model for Healthcare Critical Tasks Management. Sensors. 20(7). 1853–1853. 78 indexed citations
10.
Mohammed, Mazin Abed, Karrar Hameed Abdulkareem, Alaa S. Al‐Waisy, et al.. (2020). Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods. IEEE Access. 8. 99115–99131. 149 indexed citations
11.
Abdulkareem, Karrar Hameed, Mazin Abed Mohammed, Saraswathy Shamini Gunasekaran, et al.. (2019). A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues. IEEE Access. 7. 153123–153140. 151 indexed citations
12.
Hassan, Aslinda, et al.. (2018). Vehicular Ad hoc Network for Intelligent Transport System: A review. International Journal of Engineering & Technology. 7(4.36). 350–353. 1 indexed citations
13.
Mutlag, Ammar Awad, Mohd Khanapi Abd Ghani, N. Arunkumar, Mazin Abed Mohammed, & Othman Mohd. (2018). Enabling technologies for fog computing in healthcare IoT systems. Future Generation Computer Systems. 90. 62–78. 391 indexed citations breakdown →

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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