Samira Zad

9 papers and 210 indexed citations i.

About

Samira Zad is a scholar working on Artificial Intelligence, Sociology and Political Science and Information Systems. According to data from OpenAlex, Samira Zad has authored 9 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Sociology and Political Science and 2 papers in Information Systems. Recurrent topics in Samira Zad’s work include Sentiment Analysis and Opinion Mining (4 papers), Advanced Text Analysis Techniques (3 papers) and Text and Document Classification Technologies (3 papers). Samira Zad is often cited by papers focused on Sentiment Analysis and Opinion Mining (4 papers), Advanced Text Analysis Techniques (3 papers) and Text and Document Classification Technologies (3 papers). Samira Zad collaborates with scholars based in United States. Samira Zad's co-authors include Maryam Heidari, Özlem Uzuner, James H. Jones, Masoud Malekzadeh and Setareh Rafatirad and has published in prestigious journals such as 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC) and 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

In The Last Decade

Co-authorship network of co-authors of Samira Zad i

Fields of papers citing papers by Samira Zad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Samira Zad

Since Specialization
Citations

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