Saeed Mehrabi

20 total papers · 1.3k total citations
15 papers, 789 citations indexed

About

Saeed Mehrabi is a scholar working on Artificial Intelligence, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Saeed Mehrabi has authored 15 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Saeed Mehrabi's work include Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers) and Machine Learning in Healthcare (2 papers). Saeed Mehrabi is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Topic Modeling (4 papers) and Machine Learning in Healthcare (2 papers). Saeed Mehrabi collaborates with scholars based in United States, Iran and Belarus. Saeed Mehrabi's co-authors include Hongfang Liu, Sunghwan Sohn, Yanshan Wang, Sijia Liu, Liwei Wang, Sungrim Moon, Naveed Afzal, Yuqun Zeng, Majid Rastegar-Mojarad and Feichen Shen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Journal of Biomedical Informatics.

In The Last Decade

Saeed Mehrabi

15 papers receiving 764 citations

Hit Papers

Clinical information extr... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Saeed Mehrabi 514 338 129 91 88 15 789
Meliha Yetişgen 341 0.7× 204 0.6× 115 0.9× 90 1.0× 106 1.2× 51 623
James H. Harrison 340 0.7× 188 0.6× 153 1.2× 47 0.5× 108 1.2× 38 843
Andrew Wen 364 0.7× 276 0.8× 194 1.5× 84 0.9× 56 0.6× 64 850
Valentina Tibollo 242 0.5× 166 0.5× 260 2.0× 45 0.5× 77 0.9× 39 867
William Boag 706 1.4× 300 0.9× 91 0.7× 97 1.1× 80 0.9× 12 857
Jacques Bouaud 344 0.7× 239 0.7× 173 1.3× 74 0.8× 69 0.8× 69 669
Chaitanya Shivade 587 1.1× 298 0.9× 141 1.1× 54 0.6× 42 0.5× 20 811
Todd Ferris 178 0.3× 176 0.5× 141 1.1× 37 0.4× 45 0.5× 11 849
Tanja Magoč 376 0.7× 89 0.3× 106 0.8× 261 2.9× 127 1.4× 32 773
Bruce A. Beckwith 523 1.0× 186 0.6× 79 0.6× 31 0.3× 238 2.7× 25 854

Countries citing papers authored by Saeed Mehrabi

Since Specialization
Citations

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

Fields of papers citing papers by Saeed Mehrabi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saeed Mehrabi

This figure shows the co-authorship network connecting the top 25 collaborators of Saeed Mehrabi. A scholar is included among the top collaborators of Saeed Mehrabi 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 Saeed Mehrabi. Saeed Mehrabi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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
2026