Amirali Molaei

483 citations
5 papers · 238 indexed · 1 hit paper · h-index 3
Topics
AI in cancer detection (3 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)COVID-19 diagnosis using AI (2 papers)
Journals
Medical Image AnalysisarXiv (Cornell University)Fraunhofer-Publica (Fraunhofer-Gesellschaft)
Partner nations
IranGermanyDenmark

In The Last Decade

Amirali Molaei

5 papers receiving 233 citations

Hit Papers

Advances in medical image analysis with vision Transforme...2023202620242025202350100150

Peers

Amirali Molaei
Comparison fields: 5 of 72
  • Radiology, Nuclear Medicine and Imaging 99
  • Computer Vision and Pattern Recognition 90
  • Artificial Intelligence 72
  • Neurology 46
  • Biomedical Engineering 44
Replace Rijo Roy with:
Rijo Roy Germany
Abin Jose Germany
Andrés Anaya-Isaza Colombia
Lisa Di Jorio Canada
Murali Krishna Puttagunta India
Yanan Wu China
Xuedong Yuan China
Jonnison Lima Ferreira Brazil
Junxuan Yu China
Marija Habijan Croatia
Amirali Molaei relative to Rijo Roy Germany Rijo Roy's profile →
Citations per field
00.5×1.5×
Rijo Roy · 1×
Citations per year

Countries citing papers authored by Amirali Molaei

Since Specialization
Citations

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

Fields of papers citing papers by Amirali Molaei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amirali Molaei

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 1
2
Advances in medical image analysis with vision Transformers: A comprehensive reviewbreakdown →
188
3 39
4 8
5 2

About Amirali Molaei

Amirali Molaei is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 5 papers that have together received 238 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (13 citations), Neurology (46 citations) and Computer Vision and Pattern Recognition (90 citations). Amirali Molaei has collaborated with scholars based in Iran, Germany and Denmark. Frequent co-authors include Dorit Merhof, Reza Azad, Amirhossein Kazerouni, Rijo Roy, Abin Jose, Ehsan Khodapanah Aghdam, Moein Heidari, Armin Tavakoli, Yiwei Jia and A. Cheldavi. Their work appears in journals such as Medical Image Analysis, arXiv (Cornell University) and Fraunhofer-Publica (Fraunhofer-Gesellschaft).

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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