Adel Abusitta

26 papers receiving 493 citations

Peers

Adel Abusitta
Comparison fields: 5 of 80
  • Signal Processing 198
  • Computer Networks and Communications 306
  • Artificial Intelligence 271
  • Health Informatics 7
  • Information Systems 122
Replace Evgenia Novikova with:
Evgenia Novikova Russia
Omar Adwan Jordan
Faheem Masoodi India
Norbert Tihanyi United Arab Emirates
Yustus Eko Oktian South Korea
Qingfeng Cheng China
Ying Zhong China
K. Muneeswaran United States
Yixin Chen United States
Natalija Vlajic Canada
Adel Abusitta relative to Evgenia Novikova Russia Evgenia Novikova's profile →
Citations per field
00.5×1.5×2×2.4×
Evgenia Novikova · 1×
Citations per year

Countries citing papers authored by Adel Abusitta

Since Specialization
Citations

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

Fields of papers citing papers by Adel Abusitta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Adel Abusitta, 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 Adel Abusitta Line = papers co-authored together Adel Abusitta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022110
2 2019105
3 202176
4 202445
5 201833
6 202213
7 201813
8 202012
9 201212
10 202111
11 200711
12 201810
13 20199
14 20209
15
A Visual Cryptography Based Watermark Technology for Individual and Group Images
20077
16 20187
17 20226
18 20186
19 20225
20 20195

About Adel Abusitta

Adel Abusitta is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 27 papers that have together received 520 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (10 papers), Anomaly Detection Techniques and Applications (8 papers), Blockchain Technology Applications and Security (5 papers), Advanced Malware Detection Techniques (5 papers), Cloud Computing and Resource Management (4 papers), Digital Media Forensic Detection (3 papers), Chaos-based Image/Signal Encryption (3 papers) and Information and Cyber Security (3 papers). The work is most often cited by research in Signal Processing (198 citations), Computer Networks and Communications (306 citations), Artificial Intelligence (271 citations), Health Informatics (7 citations) and Information Systems (122 citations). Adel Abusitta has collaborated with scholars based in Canada, Jordan and United Arab Emirates. Frequent co-authors include Benjamin C. M. Fung, Talal Halabi, Martine Bellaïche, Michel Dagenais, Omar Abdel Wahab, Esma Aı̈meur, Azzam Sleit, Patrick Cardinal, Wesam Almobaideen and Ahmed Saleh Bataineh. Their work appears in journals such as Expert Systems with Applications, Computer Networks, International Journal of Artificial Intelligence in Education, Internet of Things and Pattern Recognition Letters.

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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