Mostafa R. Abukhadra

277 papers receiving 7.1k citations

Hit Papers

Graphene metasurfaces biosensor for COVID-19 detection in...20252026202520252025102030

Peers

Mostafa R. Abukhadra
Comparison fields: 5 of 132
  • Water Science and Technology 2.9k
  • Materials Chemistry 1.9k
  • Biomedical Engineering 1.6k
  • Renewable Energy, Sustainability and the Environment 1.4k
  • Organic Chemistry 1.2k
Replace Mohammad Boshir Ahmed with:
Mohammad Boshir Ahmed Australia
Eveliina Repo Finland
Lee D. Wilson Canada
Meuris Gurgel Carlos da Silva Brazil
Ahmad B. Albadarin Ireland
Shilpi Agarwal South Africa
Timothy J. Strathmann United States
Hu Yang China
Miroslav Černík Czechia
Abdelazeem S. Eltaweil Egypt
Mostafa R. Abukhadra relative to Mohammad Boshir Ahmed Australia Mohammad Boshir Ahmed's profile →
Citations per field
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Mohammad Boshir Ahmed · 1×
Citations per year

Countries citing papers authored by Mostafa R. Abukhadra

Since Specialization
Citations

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

Fields of papers citing papers by Mostafa R. Abukhadra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mostafa R. Abukhadra. 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 Mostafa R. Abukhadra. The network helps show where Mostafa R. Abukhadra may publish in the future.

Co-authorship network of co-authors of Mostafa R. Abukhadra

This figure shows the co-authorship network connecting the top 25 collaborators of Mostafa R. Abukhadra. A scholar is included among the top collaborators of Mostafa R. Abukhadra 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 Mostafa R. Abukhadra. Mostafa R. Abukhadra 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
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High-sensitivity graphene-gold metasurface optical biosensor for early melanoma detection optimized with machine learning using a one-dimensional convolutional neural network and binary encodingbreakdown →
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8 13
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10 16
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About Mostafa R. Abukhadra

Mostafa R. Abukhadra is a scholar working on Water Science and Technology, Industrial and Manufacturing Engineering and Biomaterials, having authored 305 papers that have together received 7.2k indexed citations. Recurring topics across this work include Adsorption and biosorption for pollutant removal (90 papers), Nanomaterials for catalytic reactions (31 papers) and Chemical Synthesis and Characterization (31 papers). The work is most often cited by research in Water Science and Technology (2.9k citations), Industrial and Manufacturing Engineering (1.1k citations) and Renewable Energy, Sustainability and the Environment (1.4k citations). Mostafa R. Abukhadra has collaborated with scholars based in Egypt, Saudi Arabia and South Korea. Frequent co-authors include Mohamed Shaban, Ahmed M. El‐Sherbeeny, Mohamed Shaban, Aya S. Mohamed, Mohamed Abdel Salam, Mohammed El‐Meligy, Sayed A. Ahmed, Ahmed A. Allam, Merna Mostafa and Alyaa Adlii. Their work appears in journals such as Renewable and Sustainable Energy Reviews, The Science of The Total Environment and Journal of The Electrochemical Society.

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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