Sara Hassan

469 total citations
35 papers, 233 citations indexed

About

Sara Hassan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Sara Hassan has authored 35 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Sara Hassan's work include Advanced Software Engineering Methodologies (5 papers), Software System Performance and Reliability (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Sara Hassan is often cited by papers focused on Advanced Software Engineering Methodologies (5 papers), Software System Performance and Reliability (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Sara Hassan collaborates with scholars based in Egypt, United Kingdom and United States. Sara Hassan's co-authors include Rami Bahsoon, Nour Alí, Ashraf A. M. Khalaf, Rajkumar Buyya, Nelly Bencomo, Abdelhamid El‐Shaer, A. H. Oraby, Lisa Goodson, Dalia R. Abd El‐Hafiz and Abdelhalim Zekry and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Sensors.

In The Last Decade

Sara Hassan

31 papers receiving 222 citations

Peers

Sara Hassan
Comparison fields: 5 of 73
  • Computer Networks and Communications 124
  • Information Systems 113
  • Artificial Intelligence 80
  • Computer Vision and Pattern Recognition 19
  • Electrical and Electronic Engineering 17
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Citations per field, relative to Sara Hassan
Sara Hassan · 1×
Citations per year, relative to Sara Hassan
Sara Hassan · 1×

Countries citing papers authored by Sara Hassan

Since Specialization
Citations

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

Fields of papers citing papers by Sara Hassan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Hassan

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Hassan. A scholar is included among the top collaborators of Sara Hassan 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 Sara Hassan. Sara Hassan 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 1
2 3
3 2
4 2
5 13
6 1
7 1
8 4
9 0
10 1
11 14
12 4
13 2
14 1
15 47
16 4
17 8
18 1
19
Hydrogen peroxide-induced atherosclerosis in chickens: effect of vitamin C.
5
20
Subpixel Image Registration by Estimating the Polyphase Decomposition of the Cross Power Spectrum
2

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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