Walid Gomaa

1.5k citations
79 papers · 892 indexed · h-index 15
Topics
Anomaly Detection Techniques and Applications (17 papers)Context-Aware Activity Recognition Systems (16 papers)Human Pose and Action Recognition (14 papers)
Journals
SHILAP Revista de lepidopterologíaArtificial IntelligencePattern Recognition Letters
Partner nations
EgyptJapanNigeria

In The Last Decade

Walid Gomaa

68 papers receiving 865 citations

Peers

Walid Gomaa
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 275
  • Control and Systems Engineering 222
  • Artificial Intelligence 205
  • Building and Construction 151
  • Computational Theory and Mathematics 141
Replace Nasser Mozayani with:
Nasser Mozayani Iran
Bo Dai United States
Yanghe Feng China
Fei Yan China
Fikret Sivrikaya Germany
Wenhui Chen Taiwan
Paul Mühlethaler France
Aviral Shrivastava United States
Qinruo Wang China
Dinesh Singh India
Walid Gomaa relative to Nasser Mozayani Iran Nasser Mozayani's profile →
Citations per field
00.5×3.6×
Nasser Mozayani · 1×
Citations per year

Countries citing papers authored by Walid Gomaa

Since Specialization
Citations

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

Fields of papers citing papers by Walid Gomaa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walid Gomaa

This figure shows the co-authorship network connecting the top 25 collaborators of Walid Gomaa. A scholar is included among the top collaborators of Walid Gomaa 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 Walid Gomaa. Walid Gomaa 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
#WorkIndexed citations
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6 9
7 18
8 1
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Semantic analysis of crowded scenes based on non-parametric tracklet clustering
7
17 144
18
Rational vs. Real Computation.
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19 30
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About Walid Gomaa

Walid Gomaa is a scholar working on Computer Vision and Pattern Recognition, Transportation and Artificial Intelligence, having authored 79 papers that have together received 892 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (17 papers), Context-Aware Activity Recognition Systems (16 papers) and Human Pose and Action Recognition (14 papers). The work is most often cited by research in Transportation (139 citations), Computer Vision and Pattern Recognition (275 citations) and Building and Construction (151 citations). Walid Gomaa has collaborated with scholars based in Egypt, Japan and Nigeria. Frequent co-authors include Mohamed A. Khamis, Moustafa Youssef, Tetsuji Ogawa, Ahmed Fares, Mohamed E. Hussein, Hisham El‐Shishiny, Dima Damen, Walaa Gouda, Yasushi Yagi and Yasushi Makihara. Their work appears in journals such as SHILAP Revista de lepidopterología, Artificial Intelligence and Pattern Recognition Letters.

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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