Shaimaa M. Ibrahim

37 total papers · 673 total citations
31 papers, 560 citations indexed

About

Shaimaa M. Ibrahim is a scholar working on Organic Chemistry, Materials Chemistry and Water Science and Technology. According to data from OpenAlex, Shaimaa M. Ibrahim has authored 31 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Organic Chemistry, 13 papers in Materials Chemistry and 11 papers in Water Science and Technology. Recurrent topics in Shaimaa M. Ibrahim's work include Nanomaterials for catalytic reactions (13 papers), Adsorption and biosorption for pollutant removal (11 papers) and Catalytic Processes in Materials Science (6 papers). Shaimaa M. Ibrahim is often cited by papers focused on Nanomaterials for catalytic reactions (13 papers), Adsorption and biosorption for pollutant removal (11 papers) and Catalytic Processes in Materials Science (6 papers). Shaimaa M. Ibrahim collaborates with scholars based in Egypt, Saudi Arabia and Czechia. Shaimaa M. Ibrahim's co-authors include Sahar A. El–Molla, Abdelrahman A. Badawy, Hala R. Mahmoud, Hisham Essawy, Nadia A. Mohamed, Ahmad Mustafa, Shimaa Abdel Halim, Ahmed F. Ghanem, G.A. El-Shobaky and H. Moustafa and has published in prestigious journals such as Scientific Reports, Food Chemistry and Renewable Energy.

In The Last Decade

Shaimaa M. Ibrahim

27 papers receiving 552 citations

Author Peers

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

Author						Papers	Cites
Shaimaa M. Ibrahim	242	222	186	143	89	31	560
Younes Brahmi	219 0.9×	144 0.6×	234 1.3×	94 0.7×	104 1.2×	23	620
Kartick Lal Bhowmik	293 1.2×	196 0.9×	191 1.0×	172 1.2×	91 1.0×	15	657
Yanni Guo	215 0.9×	127 0.6×	186 1.0×	121 0.8×	76 0.9×	30	629
Mostafa Stitou	380 1.6×	172 0.8×	165 0.9×	102 0.7×	70 0.8×	34	671
Eda Taga Akgül	367 1.5×	173 0.8×	179 1.0×	114 0.8×	81 0.9×	17	681
Xinyu Ge	320 1.3×	108 0.5×	184 1.0×	103 0.7×	81 0.9×	27	573
Jianlan Cui	201 0.8×	135 0.6×	192 1.0×	94 0.7×	63 0.7×	30	569
Ganden Supriyanto	281 1.2×	118 0.5×	219 1.2×	171 1.2×	65 0.7×	39	652
Bi̇lge Eren	263 1.1×	242 1.1×	117 0.6×	119 0.8×	52 0.6×	34	681
Ya Sun	314 1.3×	164 0.7×	164 0.9×	132 0.9×	87 1.0×	35	538

Countries citing papers authored by Shaimaa M. Ibrahim

Since Specialization

Citations

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

Fields of papers citing papers by Shaimaa M. Ibrahim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaimaa M. Ibrahim

This figure shows the co-authorship network connecting the top 25 collaborators of Shaimaa M. Ibrahim. A scholar is included among the top collaborators of Shaimaa M. 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 Shaimaa M. Ibrahim. Shaimaa M. 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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