Sanaz Bahargam

About

Sanaz Bahargam is a scholar working on Sociology and Political Science, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Sanaz Bahargam has authored 2 papers receiving a total of 15 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Sociology and Political Science, 1 paper in Artificial Intelligence and 1 paper in Social Psychology. Recurrent topics in Sanaz Bahargam’s work include Digital Marketing and Social Media (1 paper), Tensor decomposition and applications (1 paper) and Algorithms and Data Compression (1 paper). Sanaz Bahargam is often cited by papers focused on Digital Marketing and Social Media (1 paper), Tensor decomposition and applications (1 paper) and Algorithms and Data Compression (1 paper). Sanaz Bahargam collaborates with scholars based in United States. Sanaz Bahargam's co-authors include Theodoros Lappas, Evangelos E. Papalexakis, Behzad Golshan and Evimaria Terzi and has published in prestigious journals such as Expert Systems with Applications and 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

In The Last Decade

Co-authorship network of co-authors of Sanaz Bahargam i

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Fields of papers citing papers by Sanaz Bahargam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sanaz Bahargam

Since Specialization

Citations

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