Maryam Amiri

18 papers and 467 indexed citations i.

About

Maryam Amiri is a scholar working on Artificial Intelligence, Mechanics of Materials and Information Systems. According to data from OpenAlex, Maryam Amiri has authored 18 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 5 papers in Mechanics of Materials and 5 papers in Information Systems. Recurrent topics in Maryam Amiri’s work include Cloud Computing and Resource Management (5 papers), Rock Mechanics and Modeling (4 papers) and Grouting, Rheology, and Soil Mechanics (2 papers). Maryam Amiri is often cited by papers focused on Cloud Computing and Resource Management (5 papers), Rock Mechanics and Modeling (4 papers) and Grouting, Rheology, and Soil Mechanics (2 papers). Maryam Amiri collaborates with scholars based in Iran, Italy and Vietnam. Maryam Amiri's co-authors include Leyli Mohammad Khanli, Mahdi Hasanipanah, Hassan Bakhshandeh Amnieh, Raffaela Mirandola, Mohammad‐Reza Feizi‐Derakhshi, Xiaohua Ding, Abdolraouf Samadi‐Maybodi, Hamid Tavakolipour, Mohsen Rahmani and Mohsen Rostamy‐Malkhalifeh and has published in prestigious journals such as Scientific Reports, Journal of Hydrology and Future Generation Computer Systems.

In The Last Decade

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

Fields of papers citing papers by Maryam Amiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maryam Amiri

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025