Fadi Thabtah
- Artificial Intelligence top 0.5%
- Information Systems top 0.2%
- Cognitive Neuroscience top 2%
- Signal Processing top 0.5%
- Computer Networks and Communications top 2%
- Co-authors
- Neda AbdelhamidFiruz KamalovRami Mustafa A. MohammadT.L. McCluskeyDavid PeeblesSuhel HammoudPeter CowlingYonghong Peng
- Topics
- Data Mining Algorithms and Applications (35 papers)Text and Document Classification Technologies (28 papers)Spam and Phishing Detection (23 papers)
- Partner nations
- United KingdomNew ZealandUnited Arab Emirates
In The Last Decade
Fadi Thabtah
117 papers receiving 4.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Artificial Intelligence 2.4k
- Information Systems 2.1k
- Cognitive Neuroscience 870
- Signal Processing 796
- Computer Networks and Communications 630
Countries citing papers authored by Fadi Thabtah
This map shows the geographic impact of Fadi Thabtah'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 Fadi Thabtah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fadi Thabtah more than expected).
Fields of papers citing papers by Fadi Thabtah
This network shows the impact of papers produced by Fadi Thabtah. 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 Fadi Thabtah. The network helps show where Fadi Thabtah may publish in the future.
Co-authorship network of co-authors of Fadi Thabtah
This figure shows the co-authorship network connecting the top 25 collaborators of Fadi Thabtah. A scholar is included among the top collaborators of Fadi Thabtah based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fadi Thabtah. Fadi Thabtah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 12 | |
| 3 | 63 | |
| 4 | 35 | |
| 5 | 167 | |
| 6 | Data imbalance in classification: Experimental evaluationbreakdown → | 531 |
| 7 | 89 | |
| 8 | An Improved Associative Classification Algorithm based on Incremental Rules | 1 |
| 9 | 102 | |
| 10 | 128 | |
| 11 | Class Strength Prediction Method for Associative Classification | 5 |
| 12 | An assessment of features related to phishing websites using an automated technique | 123 |
| 13 | An experimental study of three different rule ranking formulas in associative classification | 6 |
| 14 | Improving Performance of Customer Knowledge Expansion with Knowledge Management Process | 2 |
| 15 | Fuzzy logic controller of Random Early Detection based on average queue length and packet loss rate | 15 |
| 16 | Modelling BLUE Active Queue Management using Discrete-time Queue. | 10 |
| 17 | A Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data | 7 |
| 18 | Pruning techniques in associative classification: Survey and comparison | 13 |
| 19 | Real performance of categorization-based association rule techniques | 1 |
| 20 | 9 |
About Fadi Thabtah
Fadi Thabtah is a scholar working on Information Systems, Artificial Intelligence and Health Information Management, having authored 120 papers that have together received 5.0k indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (35 papers), Text and Document Classification Technologies (28 papers) and Spam and Phishing Detection (23 papers). The work is most often cited by research in Information Systems (2.1k citations), Signal Processing (796 citations) and Artificial Intelligence (2.4k citations). Fadi Thabtah has collaborated with scholars based in United Kingdom, New Zealand and United Arab Emirates. Frequent co-authors include Neda Abdelhamid, Firuz Kamalov, Rami Mustafa A. Mohammad, T.L. McCluskey, David Peebles, Suhel Hammoud, Peter Cowling, Yonghong Peng, Aladdin Ayesh and Rory Bunker. Their work appears in journals such as The Journal of Organic Chemistry, Expert Systems with Applications and Information Sciences.
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.