Salah S. Ibrahim

69 total papers · 804 total citations
52 papers, 654 citations indexed

About

Salah S. Ibrahim is a scholar working on Water Science and Technology, Biomedical Engineering and Organic Chemistry. According to data from OpenAlex, Salah S. Ibrahim has authored 52 papers receiving a total of 654 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Water Science and Technology, 20 papers in Biomedical Engineering and 18 papers in Organic Chemistry. Recurrent topics in Salah S. Ibrahim's work include Membrane Separation Technologies (24 papers), Membrane-based Ion Separation Techniques (16 papers) and Membrane Separation and Gas Transport (11 papers). Salah S. Ibrahim is often cited by papers focused on Membrane Separation Technologies (24 papers), Membrane-based Ion Separation Techniques (16 papers) and Membrane Separation and Gas Transport (11 papers). Salah S. Ibrahim collaborates with scholars based in Iraq, Egypt and Italy. Salah S. Ibrahim's co-authors include Qusay F. Alsalhy, Magdy A. Ibrahim, Alberto Figoli, Reda M. Abdel‐Rahman, Hasan Sh. Majdi, Faris H. Al-Ani, Enrico Drioli, Khalid T. Rashid, Zainab Y. Shnain and Sara Said and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Membrane Science and Industrial & Engineering Chemistry Research.

In The Last Decade

Salah S. Ibrahim

47 papers receiving 640 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Salah S. Ibrahim 406 265 186 169 122 52 654
Ajeet Kumar 239 0.6× 237 0.9× 141 0.8× 31 0.2× 105 0.9× 68 655
Thi Sinh Vo 261 0.6× 228 0.9× 131 0.7× 40 0.2× 63 0.5× 41 640
Ming Qiu 457 1.1× 370 1.4× 64 0.3× 46 0.3× 130 1.1× 25 727
Sérgio Botelho de Oliveira 204 0.5× 252 1.0× 79 0.4× 104 0.6× 114 0.9× 42 660
Yuhui Ma 187 0.5× 195 0.7× 48 0.3× 71 0.4× 114 0.9× 34 608
Omirserik Baigenzhenov 292 0.7× 194 0.7× 118 0.6× 77 0.5× 130 1.1× 48 732
Younes Abrouki 186 0.5× 88 0.3× 298 1.6× 67 0.4× 48 0.4× 31 670
Tarek A. Seaf Elnasr 153 0.4× 83 0.3× 113 0.6× 111 0.7× 83 0.7× 36 565
Rund Abu‐Zurayk 314 0.8× 151 0.6× 112 0.6× 74 0.4× 48 0.4× 55 775
Arnaud Kamdem Tamo 132 0.3× 225 0.8× 71 0.4× 65 0.4× 48 0.4× 39 755

Countries citing papers authored by Salah S. Ibrahim

Since Specialization
Citations

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

Fields of papers citing papers by Salah S. Ibrahim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salah S. Ibrahim. 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 Salah S. Ibrahim. The network helps show where Salah S. Ibrahim may publish in the future.

Co-authorship network of co-authors of Salah S. Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Salah S. Ibrahim. A scholar is included among the top collaborators of Salah S. Ibrahim 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 Salah S. Ibrahim. Salah S. Ibrahim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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