Mohamed Al-Fandi

39 total papers · 828 total citations
35 papers, 608 citations indexed

About

Mohamed Al-Fandi is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Mohamed Al-Fandi has authored 35 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 10 papers in Molecular Biology and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Mohamed Al-Fandi's work include Microfluidic and Bio-sensing Technologies (6 papers), Molecular Communication and Nanonetworks (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Mohamed Al-Fandi is often cited by papers focused on Microfluidic and Bio-sensing Technologies (6 papers), Molecular Communication and Nanonetworks (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). Mohamed Al-Fandi collaborates with scholars based in Jordan, United States and United Arab Emirates. Mohamed Al-Fandi's co-authors include T. C. Yih, Mohammad A. Jaradat, Yahia F. Makableh, Mohammad Al-Rousan, Rami Oweis, Mohammad A. Khasawneh, Carlos J. Tavares, Nida Alshraiedeh, Luay Fraiwan and Natheer Khasawneh and has published in prestigious journals such as Scientific Reports, Sensors and Sensors and Actuators B Chemical.

In The Last Decade

Mohamed Al-Fandi

34 papers receiving 581 citations

Author Peers

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

Author Last Decade Papers Cites
Mohamed Al-Fandi 266 151 141 125 115 35 608
Seung Hyun Lee 160 0.6× 164 1.1× 214 1.5× 73 0.6× 87 0.8× 39 542
Antônio A. Malfatti-Gasperini 185 0.7× 195 1.3× 79 0.6× 196 1.6× 113 1.0× 33 692
Edward Weaver 212 0.8× 121 0.8× 104 0.7× 146 1.2× 72 0.6× 40 689
T. Muthukumaran 260 1.0× 112 0.7× 150 1.1× 141 1.1× 58 0.5× 20 562
Seong‐Min Jo 296 1.1× 263 1.7× 175 1.2× 160 1.3× 89 0.8× 39 630
Prashant Agrawal 162 0.6× 122 0.8× 100 0.7× 61 0.5× 121 1.1× 36 596
Marina V. Novoselova 358 1.3× 108 0.7× 247 1.8× 105 0.8× 29 0.3× 35 690
Arun Kumar 238 0.9× 154 1.0× 151 1.1× 85 0.7× 105 0.9× 26 627
Eveline Schreiber 352 1.3× 72 0.5× 329 2.3× 87 0.7× 42 0.4× 28 585
Chia‐Jung Yang 116 0.4× 57 0.4× 54 0.4× 199 1.6× 174 1.5× 40 643

Countries citing papers authored by Mohamed Al-Fandi

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed Al-Fandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed Al-Fandi. 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 Mohamed Al-Fandi. The network helps show where Mohamed Al-Fandi may publish in the future.

Co-authorship network of co-authors of Mohamed Al-Fandi

This figure shows the co-authorship network connecting the top 25 collaborators of Mohamed Al-Fandi. A scholar is included among the top collaborators of Mohamed Al-Fandi 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 Mohamed Al-Fandi. Mohamed Al-Fandi 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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