Sara Hashemi

18 papers and 508 indexed citations i.

About

Sara Hashemi is a scholar working on Computational Theory and Mathematics, Electrical and Electronic Engineering and Epidemiology. According to data from OpenAlex, Sara Hashemi has authored 18 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Electrical and Electronic Engineering and 6 papers in Epidemiology. Recurrent topics in Sara Hashemi’s work include Quantum-Dot Cellular Automata (7 papers), Advanced Memory and Neural Computing (5 papers) and Antifungal resistance and susceptibility (4 papers). Sara Hashemi is often cited by papers focused on Quantum-Dot Cellular Automata (7 papers), Advanced Memory and Neural Computing (5 papers) and Antifungal resistance and susceptibility (4 papers). Sara Hashemi collaborates with scholars based in Iran, Australia and United States. Sara Hashemi's co-authors include Keivan Navi, Mohsen Ebrahimi Moghaddam, Razieh Farazkish, Mostafa Rahimi Azghadi, Roshanak Daie Ghazvini, Hamid Badali, Sadegh Khodavaisy, Sassan Rezaie, Shahram Mahmoudi and Hadi Veisi and has published in prestigious journals such as Pattern Recognition Letters, Applied Soil Ecology and Medical & Biological Engineering & Computing.

In The Last Decade

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

Fields of papers citing papers by Sara Hashemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sara Hashemi

Since Specialization
Citations

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