Abul Bashar

1.1k total citations
67 papers, 683 citations indexed

About

Abul Bashar is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Abul Bashar has authored 67 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 21 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Abul Bashar's work include Network Security and Intrusion Detection (13 papers), Software System Performance and Reliability (10 papers) and IoT and Edge/Fog Computing (9 papers). Abul Bashar is often cited by papers focused on Network Security and Intrusion Detection (13 papers), Software System Performance and Reliability (10 papers) and IoT and Edge/Fog Computing (9 papers). Abul Bashar collaborates with scholars based in Saudi Arabia, United Kingdom and United States. Abul Bashar's co-authors include Ghazanfar Latif, Suleiman Y. Yerima, S. Smys, Jaafar Alghazo, Ghassen Ben Brahim, Nazeeruddin Mohammad, D. N. F. Awang Iskandar, Majid Ali Khan, Haoxiang Wang and Jennifer S. Raj and has published in prestigious journals such as IEEE Access, IEEE Systems Journal and Electronics.

In The Last Decade

Abul Bashar

60 papers receiving 619 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abul Bashar Saudi Arabia 17 243 156 146 143 126 67 683
Shakila Basheer Saudi Arabia 17 224 0.9× 224 1.4× 133 0.9× 104 0.7× 158 1.3× 81 839
Nazeeruddin Mohammad Saudi Arabia 17 220 0.9× 158 1.0× 138 0.9× 132 0.9× 125 1.0× 85 914
K. Vijayakumar India 18 244 1.0× 342 2.2× 194 1.3× 106 0.7× 124 1.0× 73 980
Danial Javaheri South Korea 16 359 1.5× 207 1.3× 179 1.2× 74 0.5× 99 0.8× 30 708
Ali Alshehri Saudi Arabia 12 164 0.7× 171 1.1× 160 1.1× 82 0.6× 57 0.5× 44 599
Saad Almutairi Saudi Arabia 15 285 1.2× 220 1.4× 128 0.9× 85 0.6× 64 0.5× 45 752
Ahmad Ali AlZubi Saudi Arabia 18 374 1.5× 214 1.4× 250 1.7× 158 1.1× 186 1.5× 91 1.1k
Samih M. Mostafa Egypt 18 182 0.7× 264 1.7× 149 1.0× 108 0.8× 140 1.1× 91 851
Hani Alshahrani Saudi Arabia 16 185 0.8× 242 1.6× 151 1.0× 98 0.7× 57 0.5× 65 746
Myriam Hadjouni Saudi Arabia 17 177 0.7× 226 1.4× 108 0.7× 89 0.6× 114 0.9× 38 685

Countries citing papers authored by Abul Bashar

Since Specialization
Citations

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

Fields of papers citing papers by Abul Bashar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abul Bashar

This figure shows the co-authorship network connecting the top 25 collaborators of Abul Bashar. A scholar is included among the top collaborators of Abul Bashar 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 Abul Bashar. Abul Bashar 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.
Khan, Majid Ali, et al.. (2025). MEDCnet : A Memory Efficient Approach for Processing High‐Resolution Fundus Images for Diabetic Retinopathy Classification Using CNN. International Journal of Imaging Systems and Technology. 35(2). 3 indexed citations
2.
Sherif, Mostafa Hashem, et al.. (2024). Android Forensics Analysis: Is it incognito?. 225–229.
5.
Yerima, Suleiman Y. & Abul Bashar. (2023). Explainable Ensemble Learning Based Detection of Evasive Malicious PDF Documents. Electronics. 12(14). 3148–3148. 5 indexed citations
6.
Latif, Ghazanfar, et al.. (2023). Knee Osteoarthritis Detection and Severity Classification Using Residual Neural Networks on Preprocessed X-ray Images. Diagnostics. 13(8). 1380–1380. 48 indexed citations
8.
Latif, Ghazanfar, Abul Bashar, D. N. F. Awang Iskandar, et al.. (2022). Multiclass tumor identification using combined texture and statistical features. Medical & Biological Engineering & Computing. 61(1). 45–59. 5 indexed citations
9.
Khan, Majid Ali, Nazeeruddin Mohammad, Ghassen Ben Brahim, Abul Bashar, & Ghazanfar Latif. (2022). Writer verification of partially damaged handwritten Arabic documents based on individual character shapes. PeerJ Computer Science. 8. e955–e955. 2 indexed citations
10.
Yerima, Suleiman Y. & Abul Bashar. (2022). A Novel Android Botnet Detection System Using Image-Based and Manifest File Features. Electronics. 11(3). 486–486. 18 indexed citations
11.
Yerima, Suleiman Y. & Abul Bashar. (2021). Bot-IMG: A framework for image-based detection of Android botnets using machine learning. DMU Open Research Archive (De Montfort University). 1–7. 5 indexed citations
12.
Nilashi, Mehrbakhsh, Rabab Ali Abumalloh, Ahmed Almulihi, et al.. (2021). Big social data analysis for impact of food quality on travelers’ satisfaction in eco-friendly hotels. ICT Express. 9(2). 182–188. 17 indexed citations
13.
Mohammad, Nazeeruddin, et al.. (2019). Formal Analysis of Human-Assisted Smart City Emergency Services. IEEE Access. 7. 60376–60388. 28 indexed citations
14.
Bashar, Abul, et al.. (2018). Modeling and Evaluation of Pre-Copy Live VM Migration Using Probabilistic Model Checking. 1–7. 7 indexed citations
16.
Bashar, Abul, et al.. (2017). Impact of Different Training Mode on Adaptive Equalization Techniques for MIMO-OFDM System. Communications on Applied Electronics. 7(2). 29–33. 1 indexed citations
17.
Bashar, Abul, Gerard Parr, Sally McClean, Bryan Scotney, & Detlef Nauck. (2013). Application of Bayesian Networks for Autonomic Network Management. Journal of Network and Systems Management. 22(2). 174–207. 10 indexed citations
18.
Bashar, Abul, et al.. (2012). Performance analysis of Bayesian Networks-based distributed Call Admission Control for NGN. UEA Digital Repository (University of East Anglia). 1214–1220. 2 indexed citations
19.
Bashar, Abul, Gerard Parr, Sally McClean, Bryan Scotney, & Detlef Nauck. (2010). Machine learning based Call Admission Control approaches: A comparative study. UEA Digital Repository (University of East Anglia). 431–434. 11 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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