Abul Bashar

1.2k citations
74 papers · 809 · h-index 18

Impact in

Papers in

    • Network Security and Intrusion Detection 15
    • Software System Performance and Reliability 13
    • IoT and Edge/Fog Computing 10
    • Energy Efficient Wireless Sensor Networks 6
    • Cloud Computing and Resource Management 10
    • Blockchain Technology Applications and Security 5

Abul Bashar

69 papers receiving 741 citations

Peers

Abul Bashar
Comparison fields: 5 of 101
  • Computer Networks and Communications 285
  • Neurology 75
  • Health Informatics 11
  • Signal Processing 93
  • Computer Vision and Pattern Recognition 163
Replace Salabat Khan with:
Salabat Khan China
Myriam Hadjouni Saudi Arabia
Samih M. Mostafa Egypt
Danial Javaheri South Korea
Saadaldeen Rashid Ahmed Iraq
P. Ganeshkumar India
A. Balasundaram India
Saad Almutairi Saudi Arabia
Thavavel Vaiyapuri Saudi Arabia
Ahmad Ali AlZubi Saudi Arabia
Abul Bashar relative to Salabat Khan China Salabat Khan's profile →
Citations per field
00.5×10×
Salabat Khan · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Abul Bashar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Abul Bashar Line = papers co-authored together Abul Bashar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202275
2 202359
3 202037
4 202130
5 201630
6 201929
7 202128
8 201928
9 201927
10 202125
11 202225
12 202022
13 202022
14 201920
15 201320
16 202219
17 202318
18 202118
19 201917
20 202115

About Abul Bashar

Abul Bashar is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, having authored 74 papers that have together received 809 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (15 papers), Software System Performance and Reliability (13 papers), IoT and Edge/Fog Computing (10 papers), Cloud Computing and Resource Management (10 papers), Advanced Malware Detection Techniques (9 papers), Energy Efficient Wireless Sensor Networks (6 papers), Brain Tumor Detection and Classification (6 papers) and Blockchain Technology Applications and Security (5 papers). The work is most often cited by research in Computer Networks and Communications (285 citations), Neurology (75 citations), Health Informatics (11 citations), Signal Processing (93 citations) and Computer Vision and Pattern Recognition (163 citations). Abul Bashar has collaborated with scholars based in Saudi Arabia, United Kingdom and India. Frequent 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, Gerard Parr and Sally McClean. Their work appears in journals such as Electronics, International Journal of Imaging Systems and Technology, PeerJ Computer Science, Journal of Intelligent & Robotic Systems and IEEE Systems Journal.

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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