Aya Nabil Sayed

459 citations
17 papers · 258 · h-index 8

Impact in

Papers in

Aya Nabil Sayed

15 papers receiving 250 citations

Peers

Aya Nabil Sayed
Comparison fields: 5 of 68
  • Building and Construction 58
  • Environmental Engineering 48
  • Health Informatics 4
  • Artificial Intelligence 67
  • Computer Vision and Pattern Recognition 40
Replace Maman Abdurohman with:
Maman Abdurohman Indonesia
Srinivasan Iyengar United States
Doan Perdana Indonesia
Huihan Liu United States
Lizhen Wu China
Pushpendu Kar China
Shudong Yang China
Alfonso García-de-Prado Spain
Yuntao Du China
Aqeel Kazmi Ireland
Aya Nabil Sayed relative to Maman Abdurohman Indonesia Maman Abdurohman's profile →
Citations per field
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Maman Abdurohman · 1×
Citations per year

Countries citing papers authored by Aya Nabil Sayed

Since Specialization
Citations

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

Fields of papers citing papers by Aya Nabil Sayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Aya Nabil 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 Aya Nabil Sayed Line = papers co-authored together Aya Nabil Sayed links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 202292
2 202341
3 202336
4 202420
5 202419
6 202417
7 202313
8 20257
9 20213
10 20252
11 20222
12 20242
13 20222
14 20231
15 20171
16 20250
17 20230

About Aya Nabil Sayed

Aya Nabil Sayed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Engineering, Building and Construction and Information Systems, having authored 17 papers that have together received 258 indexed citations. Recurring topics across this work include Air Quality Monitoring and Forecasting (4 papers), Privacy-Preserving Technologies in Data (3 papers), Video Surveillance and Tracking Methods (3 papers), Building Energy and Comfort Optimization (3 papers), Recommender Systems and Techniques (2 papers), Data Stream Mining Techniques (2 papers), Simulation-Based Education in Healthcare (1 paper) and Cryptography and Data Security (1 paper). The work is most often cited by research in Building and Construction (58 citations), Environmental Engineering (48 citations), Health Informatics (4 citations), Artificial Intelligence (67 citations) and Computer Vision and Pattern Recognition (40 citations). Aya Nabil Sayed has collaborated with scholars based in Qatar, United Arab Emirates and Greece. Frequent co-authors include Fayçal Bensaali, Yassine Himeur, Iraklis Varlamis, George Dimitrakopoulos, Abdullah Alsalemi, Abbes Amira, Mahdi Houchati, Christos Chronis, Ridha Hamila and Nader Meskin. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Internet of Things, Big Data and Cognitive Computing, Energy and Buildings and Membranes.

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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