Ismail Al-Taharwa

616 citations
17 papers · 471 indexed · 1 hit paper · h-index 8
Topics
Spam and Phishing Detection (7 papers)Advanced Malware Detection Techniques (7 papers)Chaos-based Image/Signal Encryption (4 papers)
Partner nations
JordanTaiwanCanada

In The Last Decade

Ismail Al-Taharwa

17 papers receiving 449 citations

Hit Papers

Optimizing the Prediction Accuracy of Concrete Compressiv...20102026201520202010100200300

Peers

Ismail Al-Taharwa
Comparison fields: 5 of 79
  • Civil and Structural Engineering 255
  • Building and Construction 99
  • Artificial Intelligence 73
  • Information Systems 62
  • Signal Processing 46
Replace Junchen Ye with:
Junchen Ye China
Urmil Dave India
Şadi Evren Şeker Türkiye
Nisar Ahmed Memon Pakistan
Hyoseop Lee South Korea
Erling Onstein Norway
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Wanan Liu China
Yushi Tan United States
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Ismail Al-Taharwa relative to Junchen Ye China Junchen Ye's profile →
Citations per field
00.5×10×15×21×
Junchen Ye · 1×
Citations per year

Countries citing papers authored by Ismail Al-Taharwa

Since Specialization
Citations

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

Fields of papers citing papers by Ismail Al-Taharwa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ismail Al-Taharwa. 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 Ismail Al-Taharwa. The network helps show where Ismail Al-Taharwa may publish in the future.

Co-authorship network of co-authors of Ismail Al-Taharwa

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 15
2 11
3 14
4 2
5 1
6 8
7 34
8 2
9 2
10 31
11 3
12 3
13 22
14 4
15
Cloud-Based Anti-Malware Solution
1
16
Obfuscated malicious JavaScript detection by Causal Relations Finding
6
17
Optimizing the Prediction Accuracy of Concrete Compressive Strength Based on a Comparison of Data-Mining Techniquesbreakdown →
312

About Ismail Al-Taharwa

Ismail Al-Taharwa is a scholar working on Signal Processing, Information Systems and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 471 indexed citations. Recurring topics across this work include Spam and Phishing Detection (7 papers), Advanced Malware Detection Techniques (7 papers) and Chaos-based Image/Signal Encryption (4 papers). The work is most often cited by research in Civil and Structural Engineering (255 citations), Building and Construction (99 citations) and Signal Processing (46 citations). Ismail Al-Taharwa has collaborated with scholars based in Jordan, Taiwan and Canada. Frequent co-authors include Mahmoud E. Farfoura, Chien‐Kuo Chiu, Jui‐Sheng Chou, Nazeeh Ghatasheh, Abeer Al-Hyari, Hossam Faris, Shyi‐Ming Chen, Albert B. Jeng, Charlie Obimbo and Ziad Alqadi. Their work appears in journals such as IEEE Access, Applied Sciences and Journal of Computing in Civil Engineering.

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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