Fatemeh Haghighi

9 papers and 273 indexed citations i.

About

Fatemeh Haghighi is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fatemeh Haghighi has authored 9 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fatemeh Haghighi’s work include COVID-19 diagnosis using AI (5 papers), AI in cancer detection (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Fatemeh Haghighi is often cited by papers focused on COVID-19 diagnosis using AI (5 papers), AI in cancer detection (5 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Fatemeh Haghighi collaborates with scholars based in United States, Finland and Iran. Fatemeh Haghighi's co-authors include Jianming Liang, Michael B. Gotway, Zongwei Zhou, Joseph D. Terwilliger, Tero Hiekkalinna, Harald H.H. Göring and Ruibin Feng and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Current Opinion in Genetics & Development and Knowledge-Based Systems.

In The Last Decade

Co-authorship network of co-authors of Fatemeh Haghighi i

Fields of papers citing papers by Fatemeh Haghighi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fatemeh Haghighi

Since Specialization
Citations

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