Maryam Naseri

15 papers and 410 indexed citations i.

About

Maryam Naseri is a scholar working on Surgery, Artificial Intelligence and Epidemiology. According to data from OpenAlex, Maryam Naseri has authored 15 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Artificial Intelligence and 3 papers in Epidemiology. Recurrent topics in Maryam Naseri’s work include Thyroid and Parathyroid Surgery (2 papers), Machine Learning and ELM (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Maryam Naseri is often cited by papers focused on Thyroid and Parathyroid Surgery (2 papers), Machine Learning and ELM (2 papers) and Thyroid Cancer Diagnosis and Treatment (2 papers). Maryam Naseri collaborates with scholars based in Iran, Australia and Indonesia. Maryam Naseri's co-authors include Ramin Ranjbarzadeh, Shokofeh Anari, Malika Bendechache, Saeid Jafarzadeh Ghoushchi, Mohammad Mohammadi‐Khanaposhtani, Seyed Mehdi Alizadeh, Siavash Ashoori, Roy Setiawan, Bahram Soltani Soulgani and Mehrshad Abbasi and has published in prestigious journals such as Scientific Reports, Journal of Petroleum Science and Engineering and BMC Pediatrics.

In The Last Decade

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

Fields of papers citing papers by Maryam Naseri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maryam Naseri

Since Specialization
Citations

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