Ebrahim Akbari

26 papers and 461 indexed citations i.

About

Ebrahim Akbari is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Ebrahim Akbari has authored 26 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Ebrahim Akbari’s work include Face and Expression Recognition (12 papers), Advanced Clustering Algorithms Research (7 papers) and Machine Learning and Data Classification (5 papers). Ebrahim Akbari is often cited by papers focused on Face and Expression Recognition (12 papers), Advanced Clustering Algorithms Research (7 papers) and Machine Learning and Data Classification (5 papers). Ebrahim Akbari collaborates with scholars based in Iran, Malaysia and Saudi Arabia. Ebrahim Akbari's co-authors include Hossein Nematzadeh, Homayun Motameni, Rasul Enayatifar, Mohammad Alizadeh, Amir Masoud Rahmani, Malrey Lee, Maqsood Mahmud, Halina Mohamed Dahlan, Hosein Alizadeh and Roliana Ibrahim and has published in prestigious journals such as Expert Systems with Applications, Physica A Statistical Mechanics and its Applications and Genomics.

In The Last Decade

Co-authorship network of co-authors of Ebrahim Akbari i

Fields of papers citing papers by Ebrahim Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ebrahim Akbari

Since Specialization
Citations

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