Saiful Adli Ismail
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- Network Security and Intrusion Detection 8
- IoT and Edge/Fog Computing 4
- Software System Performance and Reliability 4
- Signal Processing top 10%
- Advanced Malware Detection Techniques 9
- Information Systems top 10%
- Cloud Computing and Resource Management 4
- Software Engineering Research 3
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- Software Reliability and Analysis Research 3
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- Big Data and Business Intelligence 3
Saiful Adli Ismail
30 papers receiving 232 citations
Peers
Comparison fields: 5 of 48
- Computer Networks and Communications 140
- Signal Processing 65
- Information Systems 98
- Software 16
- Management Information Systems 26
Countries citing papers authored by Saiful Adli Ismail
This map shows the geographic impact of Saiful Adli 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 Saiful Adli Ismail with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saiful Adli Ismail more than expected).
Fields of papers citing papers by Saiful Adli Ismail
This network shows the impact of papers produced by Saiful Adli 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 Saiful Adli Ismail. The network helps show where Saiful Adli Ismail may publish in the future.
Co-authorship network
The 23 scholars most cited alongside Saiful Adli Ismail, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2022 | 1 | |
| 5 | 2020 | 29 | |
| 6 | 2020 | 17 | |
| 7 | Experiences in software development model selection and MVC design pattern implementation for Kuala Lumpur city hall traffic offence management system | 2019 | 0 |
| 8 | 2019 | 9 | |
| 9 | Using static and dynamic impact analysis for effort estimation. | 2019 | 1 |
| 10 | 2019 | 1 | |
| 11 | 2019 | 20 | |
| 12 | 2019 | 75 | |
| 13 | 2019 | 10 | |
| 14 | 2018 | 5 | |
| 15 | 2018 | 4 | |
| 16 | The challenges of extract, transform and load (ETL) for data integration in near real-time environment | 2017 | 1 |
| 17 | Adaptive user profiling: experimenting on multiple interests and changing interests | 2017 | 0 |
| 18 | 2017 | 3 | |
| 19 | ANALYZING LOG IN BIG DATA ENVIRONMENT: A REVIEW | 2015 | 1 |
| 20 | 2011 | 1 |
About Saiful Adli Ismail
Saiful Adli Ismail is a scholar working on Software, Signal Processing and Information Systems, having authored 33 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Network Security and Intrusion Detection (8 papers), IoT and Edge/Fog Computing (4 papers), Software System Performance and Reliability (4 papers), Cloud Computing and Resource Management (4 papers), Big Data and Business Intelligence (3 papers), Software Reliability and Analysis Research (3 papers) and Software Engineering Research (3 papers). The work is most often cited by research in Computer Networks and Communications (140 citations), Signal Processing (65 citations) and Information Systems (98 citations). Saiful Adli Ismail has collaborated with scholars based in Malaysia, Mexico and Indonesia. Frequent co-authors include Shahidan M. Abdullah, Nazri Kama, Azri Azmi, Mahdi Zareei, Shidrokh Goudarzi, Seyed Ahmad Soleymani, Nurulhuda Firdaus Mohd Azmi, Haslina Md Sarkan, Mohammad Hossein Anisi and Abdul Hanan Abdullah.
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.