Majid Meghdadi

About

Majid Meghdadi is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Majid Meghdadi has authored 22 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in Majid Meghdadi’s work include Recommender Systems and Techniques (10 papers), Caching and Content Delivery (5 papers) and Advanced Graph Neural Networks (3 papers). Majid Meghdadi is often cited by papers focused on Recommender Systems and Techniques (10 papers), Caching and Content Delivery (5 papers) and Advanced Graph Neural Networks (3 papers). Majid Meghdadi collaborates with scholars based in Iran, Australia and Türkiye. Majid Meghdadi's co-authors include Sajad Ahmadian, Mohsen Afsharchi, İnan Güler, Yongli Ren, Mahdi Jalili, Suat Özdemır, Abbas Khosravi, Ali Amiri, Seyed Mohammad Jafar Jalali and Saeid Nahavandi and has published in prestigious journals such as Expert Systems with Applications, Knowledge-Based Systems and Information Processing & Management.

In The Last Decade

Co-authorship network of co-authors of Majid Meghdadi i

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Fields of papers citing papers by Majid Meghdadi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Majid Meghdadi

Since Specialization

Citations

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