Armin Ai

18 papers and 645 indexed citations i.

About

Armin Ai is a scholar working on Biomaterials, Surgery and Biomedical Engineering. According to data from OpenAlex, Armin Ai has authored 18 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomaterials, 8 papers in Surgery and 6 papers in Biomedical Engineering. Recurrent topics in Armin Ai’s work include Electrospun Nanofibers in Biomedical Applications (9 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Bone Tissue Engineering Materials (6 papers). Armin Ai is often cited by papers focused on Electrospun Nanofibers in Biomedical Applications (9 papers), Tissue Engineering and Regenerative Medicine (7 papers) and Bone Tissue Engineering Materials (6 papers). Armin Ai collaborates with scholars based in Iran, United States and Canada. Armin Ai's co-authors include Jafar Ai, Somayeh Ebrahimi‐Barough, Arash Goodarzi, Shiva Asadpour, Saeed Farzamfar, Hamed Nosrati, Majid Salehi, Lida Moradi, Arian Ehterami and Saeid Kargozar and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Biological Macromolecules.

In The Last Decade

Co-authorship network of co-authors of Armin Ai i

Fields of papers citing papers by Armin Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Armin Ai

Since Specialization
Citations

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