Mohamed A. Naser

161 total papers · 1.7k total citations
61 papers, 813 citations indexed

About

Mohamed A. Naser is a scholar working on Radiology, Nuclear Medicine and Imaging, Otorhinolaryngology and Biomedical Engineering. According to data from OpenAlex, Mohamed A. Naser has authored 61 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Otorhinolaryngology and 16 papers in Biomedical Engineering. Recurrent topics in Mohamed A. Naser's work include Radiomics and Machine Learning in Medical Imaging (22 papers), Head and Neck Cancer Studies (19 papers) and Advanced Radiotherapy Techniques (13 papers). Mohamed A. Naser is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (22 papers), Head and Neck Cancer Studies (19 papers) and Advanced Radiotherapy Techniques (13 papers). Mohamed A. Naser collaborates with scholars based in United States, Canada and Finland. Mohamed A. Naser's co-authors include M. Jamal Deen, Michael S. Patterson, Clifton D. Fuller, Kareem A. Wahid, D. A. Thompson, Abdallah Mohamed, Lisanne V. van Dijk, Renjie He, Stephen Y. Lai and Brigid A. McDonald and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Mohamed A. Naser

52 papers receiving 794 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 A. Naser 462 241 226 186 133 61 813
Guanzhong Gong 459 1.0× 87 0.4× 60 0.3× 153 0.8× 179 1.3× 91 735
Refaat E. Gabr 419 0.9× 86 0.4× 119 0.5× 93 0.5× 28 0.2× 54 800
Michel Féron 442 1.0× 163 0.7× 20 0.1× 70 0.4× 358 2.7× 40 945
Hojin Kim 291 0.6× 178 0.7× 38 0.2× 38 0.2× 220 1.7× 89 932
Yicheng Wu 317 0.7× 125 0.5× 71 0.3× 386 2.1× 50 0.4× 32 756
Michael Perkuhn 629 1.4× 185 0.8× 113 0.5× 96 0.5× 163 1.2× 18 955
Georgy Shakirin 394 0.9× 81 0.3× 84 0.4× 58 0.3× 414 3.1× 24 822
Joe P. Windham 523 1.1× 116 0.5× 185 0.8× 435 2.3× 25 0.2× 54 1.0k
Fabian Isensee 572 1.2× 208 0.9× 149 0.7× 219 1.2× 25 0.2× 37 934
Keh‐Shih Chuang 350 0.8× 186 0.8× 17 0.1× 172 0.9× 111 0.8× 78 703

Countries citing papers authored by Mohamed A. Naser

Since Specialization
Citations

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

Fields of papers citing papers by Mohamed A. Naser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohamed A. Naser. 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 A. Naser. The network helps show where Mohamed A. Naser may publish in the future.

Co-authorship network of co-authors of Mohamed A. Naser

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