Saba Dadsetan

12 total papers · 441 total citations
6 papers, 247 citations indexed

About

Saba Dadsetan is a scholar working on Artificial Intelligence, Oncology and Media Technology. According to data from OpenAlex, Saba Dadsetan has authored 6 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Oncology and 2 papers in Media Technology. Recurrent topics in Saba Dadsetan's work include AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Global Cancer Incidence and Screening (2 papers). Saba Dadsetan is often cited by papers focused on AI in cancer detection (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Global Cancer Incidence and Screening (2 papers). Saba Dadsetan collaborates with scholars based in United States and United Kingdom. Saba Dadsetan's co-authors include Kris Kitani, S. Alireza Golestaneh, Shandong Wu, Jules H. Sumkin, Dooman Arefan, Margarita L. Zuley, Wendie A. Berg, Heng Huang, Naira Hovakimyan and Jennifer Hobbs and has published in prestigious journals such as Pattern Recognition, Lecture notes in computer science and arXiv (Cornell University).

In The Last Decade

Saba Dadsetan

6 papers receiving 237 citations

Hit Papers

No-Reference Image Qualit... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Saba Dadsetan 182 120 34 29 21 6 247
M. Ed Jernigan 176 1.0× 90 0.8× 45 1.3× 29 1.0× 25 1.2× 6 268
Tianhe Wu 181 1.0× 104 0.9× 15 0.4× 18 0.6× 13 0.6× 7 265
Ralf R. Kohler 221 1.2× 63 0.5× 40 1.2× 22 0.8× 20 1.0× 6 311
Shanshan Lao 192 1.1× 107 0.9× 19 0.6× 13 0.4× 15 0.7× 10 290
Golam Dastegir Al-Quaderi 205 1.1× 92 0.8× 26 0.8× 34 1.2× 8 0.4× 7 297
Cheng Huang 149 0.8× 51 0.4× 53 1.6× 48 1.7× 14 0.7× 7 271
B. Morse 192 1.1× 27 0.2× 21 0.6× 42 1.4× 15 0.7× 6 307
Ajay Kumar Boyat 201 1.1× 111 0.9× 43 1.3× 15 0.5× 12 0.6× 8 315
J. Föglein 195 1.1× 81 0.7× 53 1.6× 19 0.7× 24 1.1× 8 323
Sen Jia 175 1.0× 48 0.4× 47 1.4× 15 0.5× 11 0.5× 10 298

Countries citing papers authored by Saba Dadsetan

Since Specialization
Citations

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

Fields of papers citing papers by Saba Dadsetan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saba Dadsetan

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

All Works

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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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