Ghaith Husari

683 citations
19 papers · 498 · h-index 9

Impact in

Papers in

Journals
IEEE Access (2 papers)Journal of Network and Systems Management (1 paper)International Journal of Advanced Computer Science and Applications (2 papers)Digital Commons - East Tennessee State University (East Tennessee State University) (3 papers)Sunderland Repository (University of Sunderland) (1 paper)

In The Last Decade

Ghaith Husari

19 papers receiving 471 citations

Peers

Ghaith Husari
Comparison fields: 5 of 68
  • Signal Processing 164
  • Computer Networks and Communications 235
  • Information Systems 229
  • Neurology 31
  • Artificial Intelligence 134
Replace Hamed Nassar with:
Hamed Nassar Egypt
Chuanchang Liu China
Mohammad Al Masum United States
Peilong Li United States
Anjali Sardana India
Jialin Ding China
N. Jeyanthi India
Mohammed Golam Kaosar Australia
Omar Adwan Jordan
Ghaith Husari relative to Hamed Nassar Egypt Hamed Nassar's profile →
Citations per field
00.5×2×3×3.9×
Hamed Nassar · 1×
Citations per year

Countries citing papers authored by Ghaith Husari

Since Specialization
Citations

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

Fields of papers citing papers by Ghaith Husari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Ghaith Husari, 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 Ghaith Husari Line = papers co-authored together Ghaith Husari links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2017159
2 201670
3 201848
4 201241
5 202140
6 202129
7 202024
8 202123
9 201918
10 20219
11 20219
12 20166
13 20175
14 20154
15 20174
16 20223
17 20223
18 20162
19 20211

About Ghaith Husari

Ghaith Husari is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 498 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (6 papers), Internet Traffic Analysis and Secure E-voting (4 papers), Information and Cyber Security (4 papers), Advanced Malware Detection Techniques (3 papers), Wireless Communication Networks Research (2 papers), COVID-19 diagnosis using AI (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Smart Grid Security and Resilience (2 papers). The work is most often cited by research in Signal Processing (164 citations), Computer Networks and Communications (235 citations), Information Systems (229 citations), Neurology (31 citations) and Artificial Intelligence (134 citations). Ghaith Husari has collaborated with scholars based in United States, Jordan and Canada. Frequent co-authors include Ehab S. Al-Shaer, Bill Chu, Xi (Sunshine) Niu, Mohiuddin Ahmed, Omar Darwish, Zahid Anwar, Mujahid Mohsin, Mohammad Ashiqur Rahman, Mahmoud Al‐Ayyoub and Yuanzhu Chen. Their work appears in journals such as IEEE Access, Journal of Network and Systems Management, International Journal of Advanced Computer Science and Applications, Digital Commons - East Tennessee State University (East Tennessee State University) and Sunderland Repository (University of Sunderland).

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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