Masoud Makrehchi

32 papers and 223 indexed citations i.

About

Masoud Makrehchi is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Masoud Makrehchi has authored 32 papers receiving a total of 223 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 9 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Masoud Makrehchi’s work include Topic Modeling (7 papers), Text and Document Classification Technologies (7 papers) and Complex Network Analysis Techniques (6 papers). Masoud Makrehchi is often cited by papers focused on Topic Modeling (7 papers), Text and Document Classification Technologies (7 papers) and Complex Network Analysis Techniques (6 papers). Masoud Makrehchi collaborates with scholars based in Canada, United States and United Kingdom. Masoud Makrehchi's co-authors include Mohamed S. Kamel, Eren Gultepe, Sameena Shah, Wenhui Liao, Thomas E. Conturo, Johan Eklund, Shahryar Rahnamayan, Rozita Dara, Lin Gui and Yulan He and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Co-authorship network of co-authors of Masoud Makrehchi i

Fields of papers citing papers by Masoud Makrehchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Masoud Makrehchi. 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 Masoud Makrehchi. The network helps show where Masoud Makrehchi may publish in the future.

Countries citing papers authored by Masoud Makrehchi

Since Specialization
Citations

This map shows the geographic impact of Masoud Makrehchi'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 Masoud Makrehchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masoud Makrehchi 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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