Shadi Dorosti

1.0k total citations · 1 hit paper
12 papers, 717 citations indexed

About

Shadi Dorosti is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Shadi Dorosti has authored 12 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Artificial Intelligence and 3 papers in Management Science and Operations Research. Recurrent topics in Shadi Dorosti's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Multi-Criteria Decision Making (3 papers) and AI in cancer detection (3 papers). Shadi Dorosti is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Multi-Criteria Decision Making (3 papers) and AI in cancer detection (3 papers). Shadi Dorosti collaborates with scholars based in Iran, United States and Ireland. Shadi Dorosti's co-authors include Saeid Jafarzadeh Ghoushchi, Abbas Sharifi, Mohsen Ahmadi, Ramin Ranjbarzadeh, Malika Bendechache, Shokofeh Anari, N. Sarshar, Navid Razmjooy, Sadia Samar Ali and Annalina Caputo and has published in prestigious journals such as The Science of The Total Environment, Expert Systems with Applications and Computers in Biology and Medicine.

In The Last Decade

Shadi Dorosti

12 papers receiving 704 citations

Hit Papers

Investigation of effectiv... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shadi Dorosti Iran 8 273 197 187 144 130 12 717
Abbas Sharifi Iran 18 314 1.2× 221 1.1× 234 1.3× 251 1.7× 276 2.1× 33 1.2k
Dianbo Liu United States 14 179 0.7× 72 0.4× 95 0.5× 507 3.5× 90 0.7× 33 1.1k
Ibrahim Gad Egypt 16 169 0.6× 106 0.5× 96 0.5× 345 2.4× 129 1.0× 49 1.1k
Guesh Dagnew Saudi Arabia 8 154 0.6× 47 0.2× 82 0.4× 260 1.8× 154 1.2× 9 678
Jinmeng Rao United States 16 317 1.2× 173 0.9× 201 1.1× 91 0.6× 37 0.3× 33 1.0k
Chen Fang China 14 139 0.5× 15 0.1× 57 0.3× 151 1.0× 121 0.9× 46 691
Petrônio Cândido de Lima e Silva Brazil 12 203 0.7× 65 0.3× 141 0.8× 267 1.9× 24 0.2× 33 951
Md. Mehedi Hassan Bangladesh 15 32 0.1× 18 0.1× 67 0.4× 235 1.6× 85 0.7× 93 932
Aijaz Ahmad Reshi Saudi Arabia 10 152 0.6× 9 0.0× 55 0.3× 398 2.8× 290 2.2× 20 795
L. J. Muhammad Nigeria 16 103 0.4× 13 0.1× 33 0.2× 397 2.8× 340 2.6× 38 956

Countries citing papers authored by Shadi Dorosti

Since Specialization
Citations

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

Fields of papers citing papers by Shadi Dorosti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shadi Dorosti

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

All Works

12 of 12 papers shown
1.
Dorosti, Shadi, et al.. (2025). High-Resolution Ultrasound Data for AI-Based Segmentation in Mouse Brain Tumor. Scientific Data. 12(1). 1322–1322. 2 indexed citations
2.
Anari, Shokofeh, et al.. (2022). Review of Deep Learning Approaches for Thyroid Cancer Diagnosis. Mathematical Problems in Engineering. 2022. 1–8. 78 indexed citations
3.
Ranjbarzadeh, Ramin, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.. (2022). Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods. Computers in Biology and Medicine. 152. 106443–106443. 56 indexed citations
4.
Ranjbarzadeh, Ramin, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.. (2022). Nerve optic segmentation in CT images using a deep learning model and a texture descriptor. Complex & Intelligent Systems. 8(4). 3543–3557. 54 indexed citations
5.
Ghoushchi, Saeid Jafarzadeh, Shadi Dorosti, Mohd Nizam Ab Rahman, Marzieh Khakifirooz, & Mahdi Fathi. (2021). Theory-Based Failure Modes and Effect Analysis for Medication Errors. Journal of Healthcare Engineering. 2021. 1–14. 7 indexed citations
6.
Ranjbarzadeh, Ramin, et al.. (2021). TPCNN: Two-path convolutional neural network for tumor and liver segmentation in CT images using a novel encoding approach. Expert Systems with Applications. 183. 115406–115406. 72 indexed citations
7.
Ghoushchi, Saeid Jafarzadeh, et al.. (2021). Extended approach by using best–worst method on the basis of importance–necessity concept and its application. Applied Intelligence. 51(11). 8030–8044. 12 indexed citations
8.
Ghoushchi, Saeid Jafarzadeh, et al.. (2020). Qualitative and quantitative analysis of waste management literature from 2000 to 2015. International Journal of Environment and Waste Management. 26(4). 471–471. 6 indexed citations
9.
Ahmadi, Mohsen, et al.. (2020). Investigation of effective climatology parameters on COVID-19 outbreak in Iran. The Science of The Total Environment. 729. 138705–138705. 365 indexed citations breakdown →
10.
Dorosti, Shadi, et al.. (2020). Patient waiting time management through fuzzy based failure mode and effect analysis. Journal of Intelligent & Fuzzy Systems. 38(2). 2069–2080. 24 indexed citations
11.
12.
Ghoushchi, Saeid Jafarzadeh, et al.. (2017). Characteristics of the research on value engineering (2000-2015). World Review of Science Technology and Sustainable Development. 13(2). 101–101. 5 indexed citations

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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