Mohammad Taheri

29 papers and 220 indexed citations i.

About

Mohammad Taheri is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Mohammad Taheri has authored 29 papers receiving a total of 220 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 8 papers in Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mohammad Taheri’s work include Text and Document Classification Technologies (6 papers), Machine Learning and Data Classification (4 papers) and Fuzzy Logic and Control Systems (4 papers). Mohammad Taheri is often cited by papers focused on Text and Document Classification Technologies (6 papers), Machine Learning and Data Classification (4 papers) and Fuzzy Logic and Control Systems (4 papers). Mohammad Taheri collaborates with scholars based in Iran, United States and United Kingdom. Mohammad Taheri's co-authors include Mansoor Zolghadri Jahromi, Mohadeseh Nadimi, Soudeh Ghafouri‐Fard, Hossein Mohammad‐Rahimi, Reza Boostani, Zohreh Azimifar, Seyed Mostafa Fakhrahmad, Sajad Homayoun, R. Boll and Reza M. Parizi and has published in prestigious journals such as AIChE Journal, Information Sciences and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Mohammad Taheri i

Fields of papers citing papers by Mohammad Taheri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mohammad Taheri

Since Specialization
Citations

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