Abdullah Gani
Impact in
- Computer Networks and Communications top 0.05%
- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Caching and Content Delivery
- Information Systems top 0.05%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
-
- IoT and Edge/Fog Computing 85
- Caching and Content Delivery 48
- Network Security and Intrusion Detection 32
- Energy Efficient Wireless Sensor Networks 16
- Software-Defined Networks and 5G 15
-
- Cloud Computing and Resource Management 57
- Cloud Data Security Solutions 18
- Co-authors
- Ibrar Yaqoob (19 shared papers)Mohamed Hashem (19 shared papers)Ejaz Ahmed (33 shared papers)Nor Badrul Anuar (31 shared papers)Samee U. Khan (10 shared papers)Rajkumar Buyya (9 shared papers)Muhammad Shiraz (37 shared papers)Salimah Mokhtar (5 shared papers)
- Journals
- IEEE Access (24 papers)Journal of Network and Computer Applications (22 papers)Sensors (8 papers)IEEE Communications Magazine (7 papers)International Journal of Information Management (5 papers)
- Partner nations
- MalaysiaPakistanSaudi Arabia
In The Last Decade
Abdullah Gani
284 papers receiving 16.3k citations
Abdullah Gani's Hit Papers
Peers
Comparison fields: 5 of 205
- Computer Networks and Communications 9.1k
- Information Systems 6.2k
- Management Information Systems 1.5k
- Signal Processing 1.7k
- Artificial Intelligence 3.8k
Countries citing papers authored by Abdullah Gani
This map shows the geographic impact of Abdullah Gani'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 Abdullah Gani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abdullah Gani more than expected).
Fields of papers citing papers by Abdullah Gani
This network shows the impact of papers produced by Abdullah Gani. 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 Abdullah Gani. The network helps show where Abdullah Gani may publish in the future.
Co-authors
The 25 scholars most cited alongside Abdullah Gani, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 294 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The rise of “big data” on cloud computing: Review and open research issues Hit paper breakdown → | 2014 | 1945 |
| 2 | The role of big data in smart city Hit paper breakdown → | 2016 | 841 |
| 3 | Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges Hit paper breakdown → | 2017 | 709 |
| 4 | A survey on vehicular cloud computing Hit paper breakdown → | 2013 | 622 |
| 5 | Internet of Things Architecture: Recent Advances, Taxonomy, Requirements, and Open Challenges Hit paper breakdown → | 2017 | 499 |
| 6 | Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges Hit paper breakdown → | 2013 | 473 |
| 7 | Big Data: Survey, Technologies, Opportunities, and Challenges Hit paper breakdown → | 2014 | 411 |
| 8 | Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges Hit paper breakdown → | 2016 | 358 |
| 9 | Real-time big data processing for anomaly detection: A Survey Hit paper breakdown → | 2018 | 356 |
| 10 | Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges Hit paper breakdown → | 2013 | 355 |
| 11 | A Survey of Mobile Device Virtualization Hit paper breakdown → | 2016 | 332 |
| 12 | Evaluation of machine learning classifiers for mobile malware detection Hit paper breakdown → | 2014 | 315 |
| 13 | Big data: From beginning to future Hit paper breakdown → | 2016 | 308 |
| 14 | A survey on virtual machine migration and server consolidation frameworks for cloud data centers Hit paper breakdown → | 2015 | 282 |
| 15 | Deep learning and big data technologies for IoT security Hit paper breakdown → | 2020 | 260 |
| 16 | 2012 | 224 | |
| 17 | 2015 | 211 | |
| 18 | 2017 | 199 | |
| 19 | 2017 | 198 | |
| 20 | 2016 | 182 |
About Abdullah Gani
Abdullah Gani is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing, having authored 294 papers that have together received 17.2k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (85 papers), Cloud Computing and Resource Management (57 papers), Caching and Content Delivery (48 papers), Network Security and Intrusion Detection (32 papers), Advanced Malware Detection Techniques (27 papers), Cloud Data Security Solutions (18 papers), Energy Efficient Wireless Sensor Networks (16 papers) and Software-Defined Networks and 5G (15 papers). The work is most often cited by research in Computer Networks and Communications (9.1k citations), Information Systems (6.2k citations), Management Information Systems (1.5k citations), Signal Processing (1.7k citations) and Artificial Intelligence (3.8k citations). Abdullah Gani has collaborated with scholars based in Malaysia, Pakistan and Saudi Arabia. Frequent co-authors include Ibrar Yaqoob, Mohamed Hashem, Ejaz Ahmed, Nor Badrul Anuar, Samee U. Khan, Rajkumar Buyya, Muhammad Shiraz, Salimah Mokhtar, Muhammad Imran and Fariza Hanum Nasaruddin. Their work appears in journals such as IEEE Access, Journal of Network and Computer Applications, Sensors, IEEE Communications Magazine and International Journal of Information Management.
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.