Hassan Doosti

55 papers and 466 indexed citations i.

About

Hassan Doosti is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Hassan Doosti has authored 55 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 11 papers in Finance and 9 papers in Artificial Intelligence. Recurrent topics in Hassan Doosti’s work include Statistical Methods and Inference (18 papers), Financial Risk and Volatility Modeling (10 papers) and Bayesian Methods and Mixture Models (8 papers). Hassan Doosti is often cited by papers focused on Statistical Methods and Inference (18 papers), Financial Risk and Volatility Modeling (10 papers) and Bayesian Methods and Mixture Models (8 papers). Hassan Doosti collaborates with scholars based in Iran, Australia and France. Hassan Doosti's co-authors include Christophe Chesneau, Nooshin Peyman, Seyedeh Belin Tavakoly Sany, Yogendra P. Chaubey, Mehrdad Dadsetani, Isha Dewan, Б. Л. С. Пракаса Рао, Habibollah Esmaily, Maryam Tayefi and Majid Ghayour‐Mobarhan and has published in prestigious journals such as Scientific Reports, The Journal of Urology and Journal of Cellular Physiology.

In The Last Decade

Co-authorship network of co-authors of Hassan Doosti i

Fields of papers citing papers by Hassan Doosti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Hassan Doosti

Since Specialization
Citations

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