Maher Aburrous

526 total citations
10 papers, 363 citations indexed

About

Maher Aburrous is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Maher Aburrous has authored 10 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 8 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Maher Aburrous's work include Spam and Phishing Detection (8 papers), Text and Document Classification Technologies (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). Maher Aburrous is often cited by papers focused on Spam and Phishing Detection (8 papers), Text and Document Classification Technologies (6 papers) and Sentiment Analysis and Opinion Mining (5 papers). Maher Aburrous collaborates with scholars based in Jordan, United Kingdom and India. Maher Aburrous's co-authors include Keshav Dahal, Mohammad Alamgir Hossain, Fadi Thabtah, Adel Khelifi, Alamgir Hossain, Md. Alamgir Hossain, Manar Abu Talib and Joan Lu and has published in prestigious journals such as Expert Systems with Applications, Cognitive Computation and Bradford Scholars (University of Bradford).

In The Last Decade

Maher Aburrous

10 papers receiving 322 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Maher Aburrous Jordan	8	336	206	162	89	44	10	363
André Bergholz Germany	7	266 0.8×	143 0.7×	111 0.7×	109 1.2×	27 0.6×	11	310
Aditya Kuppa Ireland	6	89 0.3×	197 1.0×	84 0.5×	108 1.2×	27 0.6×	11	307
Lei Cen United States	7	165 0.5×	74 0.4×	161 1.0×	135 1.5×	41 0.9×	16	299
Komminist Weldemariam Italy	11	197 0.6×	151 0.7×	86 0.5×	116 1.3×	37 0.8×	35	312
Yuhong Nan China	9	245 0.7×	114 0.6×	233 1.4×	133 1.5×	41 0.9×	28	368
Bart De Win Belgium	10	324 1.0×	242 1.2×	113 0.7×	112 1.3×	68 1.5×	48	429
Bob Blakley United States	6	207 0.6×	99 0.5×	48 0.3×	121 1.4×	71 1.6×	18	298
Umara Noor Pakistan	6	159 0.5×	46 0.2×	107 0.7×	141 1.6×	15 0.3×	14	240
Ilango Krishnamurthi India	8	210 0.6×	134 0.7×	108 0.7×	46 0.5×	34 0.8×	23	273
Xiaoran Zhu China	5	211 0.6×	131 0.6×	71 0.4×	61 0.7×	15 0.3×	12	271

Countries citing papers authored by Maher Aburrous

Since Specialization

Citations

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

Fields of papers citing papers by Maher Aburrous

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maher Aburrous

This figure shows the co-authorship network connecting the top 25 collaborators of Maher Aburrous. A scholar is included among the top collaborators of Maher Aburrous 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 Maher Aburrous. Maher Aburrous is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Khelifi, Adel, et al.. (2013). Enhancing Protection Techniques of E-Banking Security Services Using Open Source Cryptographic Algorithms. 89–95. 8 indexed citations

2.

Aburrous, Maher & Adel Khelifi. (2013). Phishing Detection Plug-In Toolbar Using Intelligent Fuzzy-Classification Mining Techniques. 9 indexed citations

3.

Lu, Joan, et al.. (2011). Intelligent XML Tag Classification Techniques for XML Encryption Improvement. Huddersfield Research Portal (University of Huddersfield). 3. 1249–1252. 3 indexed citations

4.

Aburrous, Maher, Mohammad Alamgir Hossain, Keshav Dahal, & Fadi Thabtah. (2010). Predicting Phishing Websites Using Classification Mining Techniques with Experimental Case Studies. 176–181. 58 indexed citations

5.

Aburrous, Maher, Mohammad Alamgir Hossain, Keshav Dahal, & Fadi Thabtah. (2010). Experimental Case Studies for Investigating E-Banking Phishing Techniques and Attack Strategies. Cognitive Computation. 2(3). 242–253. 41 indexed citations

6.

Aburrous, Maher, Mohammad Alamgir Hossain, Keshav Dahal, & Fadi Thabtah. (2010). Intelligent phishing detection system for e-banking using fuzzy data mining. Expert Systems with Applications. 37(12). 7913–7921. 151 indexed citations

7.

Aburrous, Maher, Md. Alamgir Hossain, Keshav Dahal, & Fadi Thabtah. (2010). Associative Classification techniques for predicting e-banking phishing websites. 9–12. 14 indexed citations

8.

Aburrous, Maher, et al.. (2009). Modelling Intelligent Phishing Detection System for E-banking Using Fuzzy Data Mining. 4. 265–272. 26 indexed citations

9.

Aburrous, Maher, et al.. (2008). Intelligent Phishing Website Detection System using Fuzzy Techniques. Bradford Scholars (University of Bradford). 1–6. 47 indexed citations

10.

Aburrous, Maher, et al.. (2008). Intelligent Quality Performance Assessment for E-Banking Security using Fuzzy Logic. 3. 420–425. 6 indexed citations

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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