M.A. Mohamed

10 papers and 436 indexed citations i.

About

M.A. Mohamed is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, M.A. Mohamed has authored 10 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in M.A. Mohamed’s work include Handwritten Text Recognition Techniques (4 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Speech Recognition and Synthesis (2 papers). M.A. Mohamed is often cited by papers focused on Handwritten Text Recognition Techniques (4 papers), Target Tracking and Data Fusion in Sensor Networks (2 papers) and Speech Recognition and Synthesis (2 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, Raghu Krishnapuram and James M. Keller 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

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

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.

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).

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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