M.A. Mohamed

15 total papers · 929 total citations
14 papers, 672 citations indexed

About

M.A. Mohamed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, M.A. Mohamed has authored 14 papers receiving a total of 672 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Signal Processing. Recurrent topics in M.A. Mohamed's work include Handwritten Text Recognition Techniques (5 papers), Speech Recognition and Synthesis (3 papers) and Target Tracking and Data Fusion in Sensor Networks (3 papers). M.A. Mohamed is often cited by papers focused on Handwritten Text Recognition Techniques (5 papers), Speech Recognition and Synthesis (3 papers) and Target Tracking and Data Fusion in Sensor Networks (3 papers). M.A. Mohamed collaborates with scholars based in United States and Tanzania. M.A. Mohamed's co-authors include Paul Gader, Dan Schonfeld, Jung-Hsien Chiang, Wenyu Qu, Weimin Xiao, James M. Keller, Raghu Krishnapuram, Wei Qu and Kwangeun Kim and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Fuzzy Systems and Computer.

In The Last Decade

M.A. Mohamed

14 papers receiving 631 citations

Author Peers

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

Author Last Decade Papers Cites
M.A. Mohamed 483 266 126 75 47 14 672
Yiteng Pan 424 0.9× 286 1.1× 69 0.5× 27 0.4× 29 0.6× 18 793
Min Wang 515 1.1× 240 0.9× 51 0.4× 65 0.9× 76 1.6× 38 735
Aojun Zhou 501 1.0× 290 1.1× 87 0.7× 101 1.3× 22 0.5× 24 732
Amlan Kundu 432 0.9× 412 1.5× 134 1.1× 26 0.3× 79 1.7× 16 778
Anastasios Dimou 446 0.9× 234 0.9× 54 0.4× 42 0.6× 57 1.2× 37 764
Yan‐Ming Zhang 387 0.8× 264 1.0× 83 0.7× 35 0.5× 61 1.3× 31 598
Hafiz Adnan Habib 312 0.6× 109 0.4× 129 1.0× 54 0.7× 62 1.3× 30 556
Chao Zhu 482 1.0× 157 0.6× 101 0.8× 136 1.8× 41 0.9× 32 689
Alaaeldin El-Nouby 418 0.9× 338 1.3× 52 0.4× 49 0.7× 72 1.5× 6 793
Chen Wei 422 0.9× 406 1.5× 66 0.5× 24 0.3× 53 1.1× 36 742

Countries citing papers authored by M.A. Mohamed

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Mohamed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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