Shadi Dorosti
- Modeling and Simulation top 1%
- Global and Planetary Change top 10%
- Economics and Econometrics top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Saeid Jafarzadeh GhoushchiAbbas SharifiMohsen AhmadiRamin RanjbarzadehMalika BendechacheShokofeh AnariN. SarsharSadia Samar Ali
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)Multi-Criteria Decision Making (3 papers)AI in cancer detection (3 papers)
- Journals
- The Science of The Total EnvironmentExpert Systems with ApplicationsComputers in Biology and Medicine
- Partner nations
- IranUnited StatesIreland
In The Last Decade
Shadi Dorosti
12 papers receiving 704 citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Modeling and Simulation 273
- Global and Planetary Change 197
- Economics and Econometrics 187
- Artificial Intelligence 144
- Radiology, Nuclear Medicine and Imaging 130
Countries citing papers authored by Shadi Dorosti
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 78 | |
| 3 | 56 | |
| 4 | 54 | |
| 5 | 7 | |
| 6 | 72 | |
| 7 | 12 | |
| 8 | Investigation of effective climatology parameters on COVID-19 outbreak in Iranbreakdown → | 365 |
| 9 | 6 | |
| 10 | 24 | |
| 11 | 36 | |
| 12 | 5 |
About Shadi Dorosti
Shadi Dorosti is a scholar working on Health Informatics, Management of Technology and Innovation and Management Science and Operations Research, having authored 12 papers that have together received 717 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Multi-Criteria Decision Making (3 papers) and AI in cancer detection (3 papers). The work is most often cited by research in Modeling and Simulation (273 citations), Global and Planetary Change (197 citations) and Neurology (63 citations). Shadi Dorosti has collaborated with scholars based in Iran, United States and Ireland. Frequent co-authors include Saeid Jafarzadeh Ghoushchi, Abbas Sharifi, Mohsen Ahmadi, Ramin Ranjbarzadeh, Malika Bendechache, Shokofeh Anari, N. Sarshar, Sadia Samar Ali, Navid Razmjooy and Annalina Caputo. Their work appears in journals such as The Science of The Total Environment, Expert Systems with Applications and Computers in Biology and Medicine.
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.