Jamal Shahrabi

50 papers and 1.2k indexed citations i.

About

Jamal Shahrabi is a scholar working on Artificial Intelligence, Management Science and Operations Research and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jamal Shahrabi has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 11 papers in Management Science and Operations Research and 8 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jamal Shahrabi’s work include Imbalanced Data Classification Techniques (8 papers), Textile materials and evaluations (5 papers) and Data Mining Algorithms and Applications (5 papers). Jamal Shahrabi is often cited by papers focused on Imbalanced Data Classification Techniques (8 papers), Textile materials and evaluations (5 papers) and Data Mining Algorithms and Applications (5 papers). Jamal Shahrabi collaborates with scholars based in Iran, Pakistan and Japan. Jamal Shahrabi's co-authors include Esmaeil Hadavandi, Shahrokh Asadi, Mohammad Amin Adibi, Masoud Mahootchi, Reza Hafezi, Peyman Abbaszadeh, Fereidoun Azizi, Farzad Hadaegh, Omid Pournik and Azra Ramezankhani and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Jamal Shahrabi i

Fields of papers citing papers by Jamal Shahrabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jamal Shahrabi

Since Specialization
Citations

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