Fahimeh Ghasemi

36 total papers · 684 total citations
21 papers, 453 citations indexed

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 21 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 11 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 Protein Structure and Dynamics (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 Protein Structure and Dynamics (5 papers). Fahimeh Ghasemi collaborates with scholars based in Iran, Spain and Cyprus. Fahimeh Ghasemi's co-authors include Alireza Mehridehnavi, Horacio Pérez‐Sánchez, Afshin Fassihi, Alfonso Pérez, Alireza Mehri Dehnavi, Sara Mahshid, Laleh Shariati, Mohammad Rafienia, Ali Zarrabi and Yao Lü and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Fahimeh Ghasemi

18 papers receiving 442 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Fahimeh Ghasemi	198	174	101	66	41	21	453
Limeng Pu	208 1.1×	212 1.2×	65 0.6×	54 0.8×	38 0.9×	27	409
Ch. Madhu Babu	218 1.1×	191 1.1×	82 0.8×	25 0.4×	53 1.3×	15	429
Shimeng Li	187 0.9×	140 0.8×	112 1.1×	24 0.4×	38 0.9×	18	511
Wei Wang	73 0.4×	165 0.9×	74 0.7×	72 1.1×	20 0.5×	17	474
Liu Shao	286 1.4×	152 0.9×	68 0.7×	19 0.3×	61 1.5×	21	475
Sergey Sosnin	288 1.5×	224 1.3×	173 1.7×	30 0.5×	39 1.0×	22	481
Pavel Karpov	247 1.2×	145 0.8×	165 1.6×	21 0.3×	76 1.9×	22	423
Stefan J. Zasada	121 0.6×	230 1.3×	62 0.6×	34 0.5×	28 0.7×	34	537
Ziheng Hu	157 0.8×	191 1.1×	61 0.6×	18 0.3×	35 0.9×	16	464
Qing Ye	176 0.9×	191 1.1×	59 0.6×	56 0.8×	41 1.0×	45	430

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).

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.

Co-authorship network of co-authors of Fahimeh Ghasemi

This figure shows the co-authorship network connecting the top 25 collaborators of Fahimeh Ghasemi. A scholar is included among the top collaborators of Fahimeh Ghasemi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fahimeh Ghasemi. Fahimeh Ghasemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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