Fahimeh Ghasemi

19 papers and 385 indexed citations i.

About

Fahimeh Ghasemi is a scholar working on Computational Theory and Mathematics, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Fahimeh Ghasemi has authored 19 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 10 papers in Molecular Biology and 7 papers in Materials Chemistry. Recurrent topics in Fahimeh Ghasemi’s work include Computational Drug Discovery Methods (13 papers), Machine Learning in Materials Science (5 papers) and Machine Learning in Bioinformatics (5 papers). Fahimeh Ghasemi is often cited by papers focused on Computational Drug Discovery Methods (13 papers), Machine Learning in Materials Science (5 papers) and Machine Learning in Bioinformatics (5 papers). Fahimeh Ghasemi collaborates with scholars based in Iran, Spain and Canada. Fahimeh Ghasemi's co-authors include Alireza Mehridehnavi, Horacio Pérez‐Sánchez, Afshin Fassihi, Alfonso Pérez, Alireza Mehri Dehnavi, Sara Mahshid, Yao Lü, Imman I. Hosseini, Alireza Sanati and Mohammad Rafienia and has published in prestigious journals such as Bioinformatics, Scientific Reports and Journal of Computational Chemistry.

In The Last Decade

Co-authorship network of co-authors of Fahimeh Ghasemi i

Fields of papers citing papers by Fahimeh Ghasemi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fahimeh Ghasemi

Since Specialization
Citations

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