Sorayya Rezayi

1.2k citations
45 papers · 659 indexed · 1 hit paper · h-index 12
Topics
AI in cancer detection (7 papers)Artificial Intelligence in Healthcare (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsBioMed Research International
Partner nations
IranBelgiumGermany

In The Last Decade

Sorayya Rezayi

40 papers receiving 631 citations

Hit Papers

MRI-based brain tumor detection using convolutional deep ...2023202620242025202350100150200250

Peers

Sorayya Rezayi
Comparison fields: 5 of 116
  • Neurology 234
  • Computer Vision and Pattern Recognition 216
  • Artificial Intelligence 180
  • Radiology, Nuclear Medicine and Imaging 132
  • Biomedical Engineering 68
Replace Soheila Saeedi with:
Soheila Saeedi Iran
Francisco Luna-Perejón Spain
Ting Cai China
Sofia Zahia Spain
Naofumi Tomita United States
Matthew Lee United States
Harshita Sharma United Kingdom
Lama A. Al‐Aswad United States
Sara Colantonio Italy
Carlos Santiago Portugal
Sorayya Rezayi relative to Soheila Saeedi Iran Soheila Saeedi's profile →
Citations per field
00.5×1.5×
Soheila Saeedi · 1×
Citations per year

Countries citing papers authored by Sorayya Rezayi

Since Specialization
Citations

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

Fields of papers citing papers by Sorayya Rezayi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sorayya Rezayi

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 4
4 2
5 1
6 8
7 1
8 13
9 1
10 1
11 52
12 22
13 3
14 0
15 11
16 5
17 7
18 24
19 58
20 18

About Sorayya Rezayi

Sorayya Rezayi is a scholar working on Health Information Management, Health Informatics and Family Practice, having authored 45 papers that have together received 659 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), Artificial Intelligence in Healthcare (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Neurology (234 citations), Health Informatics (37 citations) and Computer Vision and Pattern Recognition (216 citations). Sorayya Rezayi has collaborated with scholars based in Iran, Belgium and Germany. Frequent co-authors include Soheila Saeedi, Sharareh Rostam Niakan Kalhori, Hamidreza Keshavarz, Niloofar Mohammadzadeh, Leila Shahmoradi, Marsa Gholamzadeh, Hamid Bouraghi, Marjan Ghazisaeedi, Reza Safdari and Mehdi Tehrani‐Doost. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and BioMed Research International.

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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