Shayan Hassantabar

527 citations
6 papers · 311 indexed · h-index 6
Topics
Domain Adaptation and Few-Shot Learning (2 papers)Machine Learning and Data Classification (2 papers)Radiomics and Machine Learning in Medical Imaging (1 paper)
Partner nations
United StatesIranCanada

In The Last Decade

Shayan Hassantabar

6 papers receiving 301 citations

Peers

Shayan Hassantabar
Comparison fields: 5 of 76
  • Radiology, Nuclear Medicine and Imaging 168
  • Artificial Intelligence 139
  • Computer Vision and Pattern Recognition 62
  • Neurology 29
  • Pulmonary and Respiratory Medicine 27
Replace Maí­ra Araújo de Santana with:
Maí­ra Araújo de Santana Brazil
Roberto Vega Canada
Tasmi Tamanna Australia
Zhenrong Shen China
Philip Chikontwe South Korea
Hanqing Chao United States
Ayush Tripathi India
Enzo Tartaglione France
Arunava Chakravarty India
Shayan Hassantabar relative to Maí­ra Araújo de Santana Brazil Maí­ra Araújo de Santana's profile →
Citations per field
00.5×10×13.5×
Maí­ra Araújo de Santana · 1×
Citations per year

Countries citing papers authored by Shayan Hassantabar

Since Specialization
Citations

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

Fields of papers citing papers by Shayan Hassantabar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shayan Hassantabar

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

All Works

About Shayan Hassantabar

Shayan Hassantabar is a scholar working on Applied Psychology, Biophysics and Surfaces, Coatings and Films, having authored 6 papers that have together received 311 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (2 papers), Machine Learning and Data Classification (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (168 citations) and Artificial Intelligence (139 citations). Shayan Hassantabar has collaborated with scholars based in United States, Iran and Canada. Frequent co-authors include Abbas Sharifi, Mohsen Ahmadi, Niraj K. Jha, Hongxu Yin, Amir Azimi Yancheshme, Gelareh Momen, K. Maghsoudi, Reza Jafari and Xiaoliang Dai. Their work appears in journals such as Chemical Engineering Journal, BioMed Research International and Chaos Solitons & Fractals.

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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