Nelly Elsayed

497 citations
28 papers · 234 · h-index 9

Impact in

    • Time Series Analysis and Forecasting
    • Advanced Malware Detection Techniques
    • Anomaly Detection Techniques and Applications
    • Hate Speech and Cyberbullying Detection

Papers in

Nelly Elsayed

23 papers receiving 225 citations

Peers

Nelly Elsayed
Comparison fields: 5 of 67
  • Signal Processing 68
  • Artificial Intelligence 98
  • Computer Vision and Pattern Recognition 46
  • Building and Construction 28
  • Computer Networks and Communications 38
Replace Pratik Kanani with:
Pratik Kanani India
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Wushour Silamu China
Kavita Pandey India
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Tianmeng Yang China
J. Arokia Renjit India
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Citations per field
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Citations per year

Countries citing papers authored by Nelly Elsayed

Since Specialization
Citations

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

Fields of papers citing papers by Nelly Elsayed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Nelly Elsayed, 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 Nelly Elsayed Line = papers co-authored together Nelly Elsayed links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201962
2 202424
3 202218
4 201817
5 202214
6 201911
7 201911
8 202410
9 20239
10 20238
11 20247
12 20247
13 20206
14 20226
15 20236
16 20225
17 20244
18 20242
19 20242
20 20222

About Nelly Elsayed

Nelly Elsayed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Signal Processing and Computer Networks and Communications, having authored 28 papers that have together received 234 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Network Security and Intrusion Detection (4 papers), Traffic Prediction and Management Techniques (4 papers), Information and Cyber Security (3 papers), Advanced Malware Detection Techniques (3 papers), Mental Health via Writing (2 papers), Autonomous Vehicle Technology and Safety (2 papers) and Hate Speech and Cyberbullying Detection (2 papers). The work is most often cited by research in Signal Processing (68 citations), Artificial Intelligence (98 citations), Computer Vision and Pattern Recognition (46 citations), Building and Construction (28 citations) and Computer Networks and Communications (38 citations). Nelly Elsayed has collaborated with scholars based in United States, Pakistan and Germany. Frequent co-authors include Magdy Bayoumi, Samuel Anthony, Zag ElSayed, Murat Özer, Anthony S. Maida, Ahmed Abdelgawad, Navid Asadizanjani, Jess Kropczynski, Constantinos L. Zekios and Halil Akbaş. Their work appears in journals such as IEEE Access, International Journal of Computers and Applications, Computational Intelligence, International Journal of Advanced Computer Science and Applications and Advances in Science Technology and Engineering Systems 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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