Shahpar Yakhchi

About

Shahpar Yakhchi is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Shahpar Yakhchi has authored 5 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Information Systems, 3 papers in Artificial Intelligence and 1 paper in Sociology and Political Science. Recurrent topics in Shahpar Yakhchi’s work include Recommender Systems and Techniques (4 papers), Advanced Graph Neural Networks (3 papers) and Gambling Behavior and Treatments (1 paper). Shahpar Yakhchi is often cited by papers focused on Recommender Systems and Techniques (4 papers), Advanced Graph Neural Networks (3 papers) and Gambling Behavior and Treatments (1 paper). Shahpar Yakhchi collaborates with scholars based in Australia and Norway. Shahpar Yakhchi's co-authors include Seyed Mohssen Ghafari, Amin Beheshti, Mehmet A. Orgun, Mohammadamin Edrisi, Cécile Paris, Imran Razzak, Aditya Joshi, Mehdi Elahi, Adnan Mahmood and Guanfeng Liu and has published in prestigious journals such as IEEE Access, Information Processing & Management and Algorithms.

In The Last Decade

Co-authorship network of co-authors of Shahpar Yakhchi i

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Fields of papers citing papers by Shahpar Yakhchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shahpar Yakhchi

Since Specialization

Citations

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