Khalid Alissa

1.0k citations
42 papers · 537 · h-index 14

Impact in

Papers in

Khalid Alissa

41 papers receiving 519 citations

Peers

Khalid Alissa
Comparison fields: 5 of 92
  • Signal Processing 94
  • Computer Networks and Communications 182
  • Artificial Intelligence 208
  • Health Information Management 24
  • Information Systems 125
Replace Firoz Khan with:
Firoz Khan United Arab Emirates
Ala Mughaid Jordan
Syed Atif Moqurrab Pakistan
Zryan Najat Rashid Iraq
Neelamadhab Padhy India
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Manmath Narayan Sahoo India
Amitava Nag India
Ayat Alrosan Jordan
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Citations per field
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Citations per year

Countries citing papers authored by Khalid Alissa

Since Specialization
Citations

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

Fields of papers citing papers by Khalid Alissa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202359
2 202255
3 202249
4 202240
5 202231
6 202226
7 202221
8 202220
9 202220
10 202117
11 202216
12 202216
13 202116
14 202114
15 202212
16 202212
17 202111
18 202210
19 202210
20 20228

About Khalid Alissa

Khalid Alissa is a scholar working on Computer Networks and Communications, Information Systems, Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 42 papers that have together received 537 indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (13 papers), Advanced Malware Detection Techniques (10 papers), Anomaly Detection Techniques and Applications (5 papers), UAV Applications and Optimization (4 papers), Biometric Identification and Security (4 papers), Cloud Computing and Resource Management (4 papers), Information and Cyber Security (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Signal Processing (94 citations), Computer Networks and Communications (182 citations), Artificial Intelligence (208 citations), Health Information Management (24 citations) and Information Systems (125 citations). Khalid Alissa has collaborated with scholars based in Saudi Arabia, Pakistan and Egypt. Frequent co-authors include Tahir Alyas, Nadia Tabassum, Qaiser Abbas, Atta Rahman, Ayat Alrosan, Waleed Alomoush, Fatma S. Alrayes, Abdelwahed Motwakel, Taher M. Ghazal and Saud S. Alotaibi. Their work appears in journals such as Computers, materials & continua/Computers, materials & continua (Print), Applied Sciences, Drones, IEEE Access and Journal of King Saud University - Computer and Information Sciences.

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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