Maryam Khanian Najafabadi

About

Maryam Khanian Najafabadi is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Maryam Khanian Najafabadi has authored 16 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Information Systems, 4 papers in Artificial Intelligence and 3 papers in Sociology and Political Science. Recurrent topics in Maryam Khanian Najafabadi’s work include Recommender Systems and Techniques (6 papers), Digital Marketing and Social Media (3 papers) and Advanced Graph Neural Networks (2 papers). Maryam Khanian Najafabadi is often cited by papers focused on Recommender Systems and Techniques (6 papers), Digital Marketing and Social Media (3 papers) and Advanced Graph Neural Networks (2 papers). Maryam Khanian Najafabadi collaborates with scholars based in Malaysia, Australia and Iran. Maryam Khanian Najafabadi's co-authors include Mohd Naz’ri Mahrin, Azlinah Mohamed, Suriayati Chuprat, Haslina Md Sarkan, Yap Bee Wah, Tomas McKelvey, Hamed Y. Mesri, Saman Shojae Chaeikar, Amin Beheshti and Nima Khodadadi and has published in prestigious journals such as Computers in Human Behavior, Expert Systems with Applications and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Maryam Khanian Najafabadi i

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Fields of papers citing papers by Maryam Khanian Najafabadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maryam Khanian Najafabadi

Since Specialization

Citations

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