Abdullah Gani

22.7k citations
284 papers · 15.0k indexed · 15 hit papers · h-index 60

Abdullah Gani

274 papers receiving 14.2k citations

Hit Papers

Deep learning and big data technologies...234201320262017202150010001.5k

Peers

Abdullah Gani
Comparison fields: 5 of 204
  • Computer Networks and Communications 8.0k
  • Information Systems 5.4k
  • Signal Processing 1.5k
  • Management Information Systems 1.2k
  • Artificial Intelligence 3.3k
Replace Victor Chang with:
Victor Chang United Kingdom
Ibrar Yaqoob United Arab Emirates
Muhammad Imran Saudi Arabia
Li Da Xu United States
Rajiv Ranjan Australia
Samee U. Khan United States
Quan Z. Sheng Australia
Laurence T. Yang Canada
Schahram Dustdar Austria
Luigi Atzori Italy
Abdullah Gani relative to Victor Chang United Kingdom Victor Chang's profile →
Citations per field
00.5×2.8×
Victor Chang · 1×
Citations per year

Countries citing papers authored by Abdullah Gani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20241
3 20232
4 20230
5 202215
6 20224
7 20223
8 202268
9 20227
10 20223
11 202216
12 202149
13 20211
14 201920
15 2019110
16
Real-time big data processing for anomaly detection: A Surveybreakdown →
2018317
17 201496
18 201427
19 201411
20 20040

About Abdullah Gani

Abdullah Gani is a scholar working on Computer Networks and Communications, Information Systems and Signal Processing, having authored 284 papers that have together received 15.0k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (84 papers), Cloud Computing and Resource Management (56 papers), Caching and Content Delivery (47 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 (8.0k citations), Information Systems (5.4k citations) and Signal Processing (1.5k 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, Rajkumar Buyya, Muhammad Shiraz, Samee U. Khan, Salimah Mokhtar, Muhammad Imran and Saeid Abolfazli. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026