Saeid Safaei

3 papers and 191 indexed citations i.

About

Saeid Safaei is a scholar working on Artificial Intelligence, Computer Science Applications and Developmental and Educational Psychology. According to data from OpenAlex, Saeid Safaei has authored 3 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computer Science Applications and 1 paper in Developmental and Educational Psychology. Recurrent topics in Saeid Safaei’s work include Innovative Teaching and Learning Methods (1 paper), Teaching and Learning Programming (1 paper) and Neural Networks and Applications (1 paper). Saeid Safaei is often cited by papers focused on Innovative Teaching and Learning Methods (1 paper), Teaching and Learning Programming (1 paper) and Neural Networks and Applications (1 paper). Saeid Safaei collaborates with scholars based in United States and Iran. Saeid Safaei's co-authors include Mehdi Assefi, Krys J. Kochut, Diana Elizabeth, Mehdi Allahyari, Thiab R. Taha, Juan B. Gutiérrez, Hamid R. Arabnia, Walter D. Potter and Khaled Rasheed and has published in prestigious journals such as IEEE Access, International Journal of Advanced Computer Science and Applications and 2021 International Conference on Computational Science and Computational Intelligence (CSCI).

In The Last Decade

Co-authorship network of co-authors of Saeid Safaei i

Fields of papers citing papers by Saeid Safaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Saeid Safaei

Since Specialization
Citations

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