Shady Shehata

699 total citations
23 papers, 383 citations indexed

About

Shady Shehata is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Shady Shehata has authored 23 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 5 papers in Information Systems and 3 papers in Computer Science Applications. Recurrent topics in Shady Shehata's work include Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Web Data Mining and Analysis (5 papers). Shady Shehata is often cited by papers focused on Topic Modeling (10 papers), Natural Language Processing Techniques (7 papers) and Web Data Mining and Analysis (5 papers). Shady Shehata collaborates with scholars based in Canada, United Arab Emirates and United States. Shady Shehata's co-authors include Fakhri Karray, Mohamed S. Kamel, Fakhri Karray, Yuri Quintana, Md. Milon Islam, Kimberly E. Arnold, John Whitmer, Christopher Brooks, Yifan Peng and Hung-yi Lee and has published in prestigious journals such as IEEE Access, IEEE Transactions on Knowledge and Data Engineering and Knowledge and Information Systems.

In The Last Decade

Shady Shehata

21 papers receiving 335 citations

Peers

Shady Shehata
Comparison fields: 5 of 78
  • Artificial Intelligence 245
  • Information Systems 139
  • Computer Vision and Pattern Recognition 42
  • Computer Networks and Communications 37
  • Signal Processing 24
Replace Yun-Cheng Wang with:
Yun-Cheng Wang United States
Mansur Alp Toçoğlu Türkiye
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Jean‐Pierre Corriveau Canada
Ashwin Paranjape United States
Hengyi Cai China
Damai Dai China
Weitao Ma China
Shaochen Zhong United States
Mounia Mikram Morocco
Yun-Cheng Wang United States View profile →
Citations per field, relative to Shady Shehata
Shady Shehata · 1×
Citations per year, relative to Shady Shehata
Shady Shehata · 1×

Countries citing papers authored by Shady Shehata

Since Specialization
Citations

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

Fields of papers citing papers by Shady Shehata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shady Shehata

This figure shows the co-authorship network connecting the top 25 collaborators of Shady Shehata. A scholar is included among the top collaborators of Shady Shehata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shady Shehata. Shady Shehata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 9
4 6
5 0
6 2
7 4
8 1
9 4
10 2
11 105
12
The Predictive Learning Analytics Revolution: Leveraging Learning Data for Student Success
17
13 15
14 9
15 20
16 69
17 36
18 15
19 41
20 15

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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