Mahmood Neshati

14 papers and 261 indexed citations i.

About

Mahmood Neshati is a scholar working on Information Systems, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Mahmood Neshati has authored 14 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 10 papers in Artificial Intelligence and 7 papers in Computer Science Applications. Recurrent topics in Mahmood Neshati’s work include Expert finding and Q&A systems (10 papers), Topic Modeling (8 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Mahmood Neshati is often cited by papers focused on Expert finding and Q&A systems (10 papers), Topic Modeling (8 papers) and Mobile Crowdsensing and Crowdsourcing (7 papers). Mahmood Neshati collaborates with scholars based in Iran, The Netherlands and Switzerland. Mahmood Neshati's co-authors include Hamid Beigy, Djoerd Hiemstra, Ehsaneddin Asgari, Afshin Rahimi, Hassan Abolhassani and Ahmad Ali Abin and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Cybernetics and Decision Support Systems.

In The Last Decade

Co-authorship network of co-authors of Mahmood Neshati i

Fields of papers citing papers by Mahmood Neshati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mahmood Neshati

Since Specialization
Citations

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