Sara Nasiri

28 papers and 1.1k indexed citations i.

About

Sara Nasiri is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Artificial Intelligence. According to data from OpenAlex, Sara Nasiri has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Mechanical Engineering, 6 papers in Industrial and Manufacturing Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Sara Nasiri’s work include Long-Term Effects of COVID-19 (5 papers), COVID-19 Clinical Research Studies (5 papers) and Manufacturing Process and Optimization (5 papers). Sara Nasiri is often cited by papers focused on Long-Term Effects of COVID-19 (5 papers), COVID-19 Clinical Research Studies (5 papers) and Manufacturing Process and Optimization (5 papers). Sara Nasiri collaborates with scholars based in Germany, Iran and United States. Sara Nasiri's co-authors include Mohammad Reza Khosravani, Kerstin Weinberg, Anahita Jafari, Ali A. Asadi‐Pooya, Amir Emami, Mahtab Rostamihosseinkhani, Mina Shahisavandi, Ali Akbari, Maryam Kabiri and Zahra Zeraatpisheh and has published in prestigious journals such as PLoS ONE, BMC Bioinformatics and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Sara Nasiri i

Fields of papers citing papers by Sara Nasiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Nasiri

Since Specialization
Citations

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