Bilal Hawashin

1.2k citations
45 papers · 897 indexed · h-index 17

Bilal Hawashin

44 papers receiving 872 citations

Peers

Bilal Hawashin
Comparison fields: 5 of 107
  • Information Systems 330
  • Artificial Intelligence 430
  • Computer Vision and Pattern Recognition 129
  • Signal Processing 64
  • Computer Networks and Communications 131
Replace Mohd Fadzil Hassan with:
Mohd Fadzil Hassan Malaysia
Don‐Lin Yang Taiwan
Mohammad A. Hassonah Jordan
Horst Samulowitz United States
K. G. Srinivasa India
Mazliham Mohd Su’ud Malaysia
Muhammad Aamir Malaysia
Qiao Liu China
K. Vijayakumar India
Marwan Ali Albahar Saudi Arabia
Bilal Hawashin relative to Mohd Fadzil Hassan Malaysia Mohd Fadzil Hassan's profile →
Citations per field
00.5×1.7×
Mohd Fadzil Hassan · 1×
Citations per year

Countries citing papers authored by Bilal Hawashin

Since Specialization
Citations

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

Fields of papers citing papers by Bilal Hawashin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Bilal Hawashin, 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 Bilal Hawashin Line = papers co-authored together Bilal Hawashin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20231
3 20232
4 20233
5 20231
6 20236
7 20232
8 20236
9 202224
10 20224
11 20218
12 20217
13
Cyber-Bullying and Cyber-Harassment Detection Using Supervised Machine Learning Techniques in Arabic Social Media Contents
202024
14 202015
15 20205
16 202015
17 202018
18 201930
19 201931
20 20162

About Bilal Hawashin

Bilal Hawashin is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research, having authored 45 papers that have together received 897 indexed citations. Recurring topics across this work include Topic Modeling (11 papers), Recommender Systems and Techniques (11 papers), Text and Document Classification Technologies (11 papers), Spam and Phishing Detection (9 papers), Sentiment Analysis and Opinion Mining (9 papers), Software Engineering Research (6 papers), Web Data Mining and Analysis (5 papers) and Advanced Text Analysis Techniques (4 papers). The work is most often cited by research in Information Systems (330 citations), Artificial Intelligence (430 citations) and Computer Vision and Pattern Recognition (129 citations). Bilal Hawashin has collaborated with scholars based in Jordan, United States and Saudi Arabia. Frequent co-authors include Shadi AlZu’bi, Tarek Kanan, Mohammed Elbes, Ismail Hmeidi, Eyas El‐Qawasmeh, Ayman Mansour, Yaser Jararweh, Ala Al‐Fuqaha, Ala Mughaid and Mahmoud Al‐Ayyoub. Their work appears in journals such as Advanced Engineering Informatics, Multimedia Tools and Applications and Electronics.

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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