Azlan Ismail

487 citations
38 papers · 250 · h-index 9

Impact in

Papers in

Azlan Ismail

33 papers receiving 242 citations

Peers

Azlan Ismail
Comparison fields: 5 of 62
  • Information Systems 102
  • Computer Networks and Communications 103
  • Software 8
  • Artificial Intelligence 62
  • Statistics and Probability 15
Replace Maram Fahhad Almufareh with:
Maram Fahhad Almufareh Malaysia
Syed Jawad Hussain Pakistan
Rashi Kohli India
Youssef Baddi Morocco
Abdulaziz Aldaej Saudi Arabia
Deafallah Alsadie Saudi Arabia
R Santhakumar India
Raghubir Singh United Kingdom
Ramesh Sekaran India
Azlan Ismail relative to Maram Fahhad Almufareh Malaysia Maram Fahhad Almufareh's profile →
Citations per field
00.5×2.9×
Maram Fahhad Almufareh · 1×
Citations per year

Countries citing papers authored by Azlan Ismail

Since Specialization
Citations

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

Fields of papers citing papers by Azlan Ismail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Azlan Ismail, 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 Azlan Ismail Line = papers co-authored together Azlan Ismail links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202332
2 201929
3 200022
4 201316
5 202214
6 202012
7 202211
8 202311
9 202310
10 20108
11 20198
12
Chest X-Rays Image Classification in Medical Image Analysis
20188
13 20118
14 20197
15 20096
16 20176
17 20246
18 20256
19
Study of electric vehicle battery reliability improvement
20114
20 20243

About Azlan Ismail

Azlan Ismail is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Management Information Systems, having authored 38 papers that have together received 250 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), Software System Performance and Reliability (10 papers), Service-Oriented Architecture and Web Services (7 papers), IoT and Edge/Fog Computing (7 papers), Advanced Software Engineering Methodologies (4 papers), Business Process Modeling and Analysis (3 papers), Distributed systems and fault tolerance (3 papers) and Data Stream Mining Techniques (3 papers). The work is most often cited by research in Information Systems (102 citations), Computer Networks and Communications (103 citations), Software (8 citations), Artificial Intelligence (62 citations) and Statistics and Probability (15 citations). Azlan Ismail has collaborated with scholars based in Malaysia, Australia and China. Frequent co-authors include Jun Shen, Jun Yan, Huanhuan Hou, Sofianita Mutalib, Marta Kwiatkowska, Colin Duffield, Najid Ahmad, Lin Xie, Jasni Mohamad Zain and Sojeong Lee. Their work appears in journals such as Journal of Applied Sciences, Journal of Grid Computing, Simulation Modelling Practice and Theory, Sustainable Energy Technologies and Assessments and Education and Information Technologies.

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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