Mona M. Naim

33 total papers · 658 total citations
28 papers, 572 citations indexed

About

Mona M. Naim is a scholar working on Water Science and Technology, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Mona M. Naim has authored 28 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Water Science and Technology, 12 papers in Biomedical Engineering and 10 papers in Mechanical Engineering. Recurrent topics in Mona M. Naim's work include Membrane Separation Technologies (11 papers), Membrane-based Ion Separation Techniques (10 papers) and Extraction and Separation Processes (7 papers). Mona M. Naim is often cited by papers focused on Membrane Separation Technologies (11 papers), Membrane-based Ion Separation Techniques (10 papers) and Extraction and Separation Processes (7 papers). Mona M. Naim collaborates with scholars based in Egypt and Saudi Arabia. Mona M. Naim's co-authors include Abeer A. Moneer, Mahmoud M. Elewa, Ahmed A. El-Shafei, Ghada F. El‐Said, H.A. Farag, Mervette El Batouti, Nouf F. Al‐Harby, E-S.Z. El-Ashtoukhy, M.H. Abdel‐Aziz and Islam H. El Azab and has published in prestigious journals such as Molecules, Desalination and Materials.

In The Last Decade

Mona M. Naim

27 papers receiving 528 citations

Author Peers

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

Author Last Decade Papers Cites
Mona M. Naim 319 289 184 121 73 28 572
Zafri Azran Abdul Majid 399 1.3× 140 0.5× 247 1.3× 93 0.8× 77 1.1× 30 652
Abdul Aziz Omar 253 0.8× 163 0.6× 107 0.6× 85 0.7× 8 0.1× 35 627
Hooman Chamani 159 0.5× 340 1.2× 98 0.5× 194 1.6× 10 0.1× 19 509
Djilali Tassalit 257 0.8× 179 0.6× 40 0.2× 59 0.5× 19 0.3× 26 513
K. M. M. Krishna Prasad 164 0.5× 107 0.4× 57 0.3× 130 1.1× 12 0.2× 26 510
Yue Bian 299 0.9× 184 0.6× 89 0.5× 89 0.7× 20 0.3× 32 530
Cuizhen Wang 145 0.5× 273 0.9× 122 0.7× 84 0.7× 14 0.2× 26 643
Mohammad Mustafa Ghafurian 522 1.6× 254 0.9× 195 1.1× 99 0.8× 68 0.9× 34 690
Zhen Wang 93 0.3× 395 1.4× 299 1.6× 257 2.1× 7 0.1× 27 655
Gulnaziya Issabayeva 85 0.3× 485 1.7× 82 0.4× 114 0.9× 18 0.2× 22 698

Countries citing papers authored by Mona M. Naim

Since Specialization
Citations

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

Fields of papers citing papers by Mona M. Naim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mona M. Naim

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