Maryam Heidari

19 papers and 371 indexed citations i.

About

Maryam Heidari is a scholar working on Artificial Intelligence, Information Systems and Sociology and Political Science. According to data from OpenAlex, Maryam Heidari has authored 19 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Information Systems and 5 papers in Sociology and Political Science. Recurrent topics in Maryam Heidari’s work include Sentiment Analysis and Opinion Mining (5 papers), Spam and Phishing Detection (4 papers) and Topic Modeling (4 papers). Maryam Heidari is often cited by papers focused on Sentiment Analysis and Opinion Mining (5 papers), Spam and Phishing Detection (4 papers) and Topic Modeling (4 papers). Maryam Heidari collaborates with scholars based in United States, Iran and Bulgaria. Maryam Heidari's co-authors include James H. Jones, Özlem Uzuner, Samira Zad, Masoud Malekzadeh, Setareh Rafatirad, Mohsen Ahmadi, Mina Esmail Zadeh Nojoo Kambar, Svoboda Sirakova, Nikolay Sirakov and Philippe Fernandez and has published in prestigious journals such as Journal of Human Evolution, English Language Teaching and 2021 International Conference on Data Mining Workshops (ICDMW).

In The Last Decade

Co-authorship network of co-authors of Maryam Heidari i

Fields of papers citing papers by Maryam Heidari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maryam Heidari

Since Specialization
Citations

This map shows the geographic impact of Maryam Heidari'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 Maryam Heidari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Heidari 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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2025