Mobeen Shahroz

567 citations
14 papers · 265 indexed · 1 hit paper · h-index 8
Topics
Sentiment Analysis and Opinion Mining (3 papers)Advanced Malware Detection Techniques (3 papers)Spam and Phishing Detection (2 papers)

In The Last Decade

Mobeen Shahroz

13 papers receiving 236 citations

Hit Papers

Phishing Detection System Through Hybrid Machine Learning...20232026202420252023255075

Peers

Mobeen Shahroz
Comparison fields: 5 of 52
  • Information Systems 101
  • Artificial Intelligence 98
  • Computer Networks and Communications 62
  • Signal Processing 47
  • Radiology, Nuclear Medicine and Imaging 30
Replace B. Prasanalakshmi with:
B. Prasanalakshmi Saudi Arabia
Reza Fuad Rachmadi Indonesia
Dilip Kumar Jang Bahadur Saini India
Stephen Jeswinde Nuagah Ghana
Mudita Uppal India
Mohammad Alsaffar Saudi Arabia
M. Syed Shahul Hameed Pakistan
Diletta Chiaro Italy
Kamal Kant Hiran India
Divya Midhunchakkaravarthy Malaysia
Mobeen Shahroz relative to B. Prasanalakshmi Saudi Arabia B. Prasanalakshmi's profile →
Citations per field
00.5×3.5×
B. Prasanalakshmi · 1×
Citations per year

Countries citing papers authored by Mobeen Shahroz

Since Specialization
Citations

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

Fields of papers citing papers by Mobeen Shahroz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mobeen Shahroz

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 10
3 2
4 5
5 1
6 21
7 17
8 4
9
Phishing Detection System Through Hybrid Machine Learning Based on URLbreakdown →
93
10 3
11 8
12 22
13 70
14 9

About Mobeen Shahroz

Mobeen Shahroz is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 265 indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (3 papers), Advanced Malware Detection Techniques (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Information Systems (101 citations), Signal Processing (47 citations) and Artificial Intelligence (98 citations). Mobeen Shahroz has collaborated with scholars based in Pakistan, South Korea and Saudi Arabia. Frequent co-authors include Muhammad Faheem Mushtaq, Samir Brahim Belhaouari, Khabib Mustofa, S Ramana Kumar Joga, Gyu Sang Choi, Arif Mehmood, Saleem Ullah, Maqsood Ahmad, Imran Ashraf and Urooj Akram. Their work appears in journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

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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