Awny Sayed

705 citations
21 papers · 443 indexed · 1 hit paper · h-index 8

Awny Sayed

18 papers receiving 423 citations

Hit Papers

Hyperparameter Tuning for Machine Learning Algorithms Use...253202120262022202450100150200250

Peers

Awny Sayed
Comparison fields: 5 of 110
  • Artificial Intelligence 229
  • Health Information Management 29
  • Health Informatics 6
  • Information Systems 65
  • Computer Vision and Pattern Recognition 55
Replace Atif Rizwan with:
Atif Rizwan South Korea
Su-Wen Huang Taiwan
Manjaiah D. Huchaiah India
Janek Thomas Germany
Jin Gou China
Sanjukta De India
Srishti Verma India
Hongfang Zhou China
Yousef Abdi Iran
Vinod Kumar Chauhan United Kingdom
Awny Sayed relative to Atif Rizwan South Korea Atif Rizwan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Awny Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Awny Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 8 scholars most cited alongside Awny Sayed, 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 Awny Sayed Line = papers co-authored together Awny Sayed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 20250
4 202359
5 202320
6 20231
7 202327
8 20222
9
Hyperparameter Tuning for Machine Learning Algorithms Used for Arabic Sentiment Analysisbreakdown →
2021253
10 20207
11 202015
12 201915
13 201718
14 20165
15 20145
16 20142
17 20103
18
A prime Number Labeling Scheme for Reachability Queries over Complex XML Collection.
20090
19 20093
20 20061

About Awny Sayed

Awny Sayed is a scholar working on Artificial Intelligence, Computer Networks and Communications, Signal Processing, Information Systems and Health Information Management, having authored 21 papers that have together received 443 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (7 papers), Advanced Database Systems and Queries (6 papers), Sentiment Analysis and Opinion Mining (3 papers), Data Management and Algorithms (3 papers), Topic Modeling (2 papers), Chaos-based Image/Signal Encryption (2 papers), Cryptographic Implementations and Security (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Artificial Intelligence (229 citations), Health Information Management (29 citations), Health Informatics (6 citations), Information Systems (65 citations) and Computer Vision and Pattern Recognition (55 citations). Awny Sayed has collaborated with scholars based in Egypt, Saudi Arabia and Oman. Frequent co-authors include Enas Elgeldawi, Alaa M. Zaki, Essam H. Houssein, Mohamed Abdallah, Rainer Unland, Munesh Singh, Tarek Abd El‐Hafeez and Mohammed Kayed. Their work appears in journals such as Computers in Biology and Medicine, Computers, materials & continua/Computers, materials & continua (Print), Scientific Reports, International Journal of Engine Research and Egyptian Informatics Journal.

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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2026