Osama M. Abo-Seida

666 citations
35 papers · 440 indexed · 1 hit paper · h-index 9
Topics
Electromagnetic Scattering and Analysis (14 papers)Electromagnetic Compatibility and Measurements (6 papers)Underwater Acoustics Research (5 papers)
Partner nations
EgyptSaudi ArabiaChina

In The Last Decade

Osama M. Abo-Seida

29 papers receiving 416 citations

Hit Papers

A Novel Deep-Learning Model for Automatic Detection and C...2021202620222024202150100150200250

Peers

Osama M. Abo-Seida
Comparison fields: 5 of 71
  • Artificial Intelligence 226
  • Radiology, Nuclear Medicine and Imaging 151
  • Neurology 76
  • Computer Vision and Pattern Recognition 71
  • Biomedical Engineering 61
Replace Lê Minh Hiếu with:
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Citations per field
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Countries citing papers authored by Osama M. Abo-Seida

Since Specialization
Citations

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

Fields of papers citing papers by Osama M. Abo-Seida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Osama M. Abo-Seida. 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 Osama M. Abo-Seida. The network helps show where Osama M. Abo-Seida may publish in the future.

Co-authorship network of co-authors of Osama M. Abo-Seida

This figure shows the co-authorship network connecting the top 25 collaborators of Osama M. Abo-Seida. A scholar is included among the top collaborators of Osama M. Abo-Seida 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 Osama M. Abo-Seida. Osama M. Abo-Seida 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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7 21
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A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Techniquebreakdown →
266
9 4
10 17
11 2
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From a Pulsed Electric Dipole in a Dielectric Medium
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20 11

About Osama M. Abo-Seida

Osama M. Abo-Seida is a scholar working on Atomic and Molecular Physics, and Optics, Oceanography and Ocean Engineering, having authored 35 papers that have together received 440 indexed citations. Recurring topics across this work include Electromagnetic Scattering and Analysis (14 papers), Electromagnetic Compatibility and Measurements (6 papers) and Underwater Acoustics Research (5 papers). The work is most often cited by research in Neurology (76 citations), Artificial Intelligence (226 citations) and Radiology, Nuclear Medicine and Imaging (151 citations). Osama M. Abo-Seida has collaborated with scholars based in Egypt, Saudi Arabia and China. Frequent co-authors include Mohamed Sakr, Arabi Keshk, Abeer Saber, Huiling Chen, Nabil T. Eldabe, Ahmed Refaie Ali, A. A. ElShekhipy, Abd El Hakeem Abd El Naby, Hatem Abdul-Kader and Khalid Amin. Their work appears in journals such as Scientific Reports, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

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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