Mohadeseh Nadimi

544 total citations · 1 hit paper
7 papers, 335 citations indexed

About

Mohadeseh Nadimi is a scholar working on Surgery, Ophthalmology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Mohadeseh Nadimi has authored 7 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Ophthalmology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Mohadeseh Nadimi's work include Dental Radiography and Imaging (2 papers), Glaucoma and retinal disorders (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mohadeseh Nadimi is often cited by papers focused on Dental Radiography and Imaging (2 papers), Glaucoma and retinal disorders (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Mohadeseh Nadimi collaborates with scholars based in Iran, United States and Germany. Mohadeseh Nadimi's co-authors include Hossein Mohammad‐Rahimi, Mohammad Hossein Rohban, Saeed Reza Motamedian, Joachim Krois, Falk Schwendicke, Sergio Uribe, Rata Rokhshad, Victor Y. Lee, Mohammad Taheri and Soudeh Ghafouri‐Fard and has published in prestigious journals such as American Journal of Orthodontics and Dentofacial Orthopedics, Journal of Dentistry and Journal of Glaucoma.

In The Last Decade

Mohadeseh Nadimi

7 papers receiving 328 citations

Hit Papers

Deep learning for caries detection: A systematic review 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohadeseh Nadimi Iran 4 211 102 75 73 66 7 335
Shihao Li China 8 224 1.1× 80 0.8× 59 0.8× 73 1.0× 41 0.6× 13 326
Fahad Umer Pakistan 11 217 1.0× 70 0.7× 42 0.6× 52 0.7× 82 1.2× 59 385
Maxim Gusarev Türkiye 8 354 1.7× 101 1.0× 54 0.7× 155 2.1× 71 1.1× 10 429
Rata Rokhshad United States 11 282 1.3× 113 1.1× 99 1.3× 104 1.4× 191 2.9× 31 526
Martin Dreher Brazil 3 269 1.3× 79 0.8× 68 0.9× 98 1.3× 65 1.0× 15 329
Eugene Shumilov Türkiye 4 288 1.4× 66 0.6× 32 0.4× 125 1.7× 62 0.9× 4 326
Pierre Lahoud Belgium 12 563 2.7× 109 1.1× 61 0.8× 235 3.2× 86 1.3× 23 641
Matvey Ezhov Türkiye 10 555 2.6× 130 1.3× 72 1.0× 233 3.2× 125 1.9× 13 651
Shantanu Vyas United States 4 227 1.1× 31 0.3× 23 0.3× 71 1.0× 69 1.0× 13 312
Sevda Kurt‐Bayrakdar Türkiye 10 244 1.2× 46 0.5× 33 0.4× 77 1.1× 39 0.6× 29 348

Countries citing papers authored by Mohadeseh Nadimi

Since Specialization
Citations

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

Fields of papers citing papers by Mohadeseh Nadimi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohadeseh Nadimi

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

All Works

7 of 7 papers shown
1.
Nadimi, Mohadeseh, et al.. (2023). Vessel Density Features of Optical Coherence Tomography Angiography for Classification of Optic Neuropathies Using Machine Learning. Journal of Neuro-Ophthalmology. 44(1). 41–46. 3 indexed citations
2.
Nadimi, Mohadeseh, et al.. (2023). Vessel Density Features of Optical Coherence Tomography Angiography for Classification of Glaucoma Using Machine Learning. Journal of Glaucoma. 32(12). 1006–1010. 1 indexed citations
3.
Mohammad‐Rahimi, Hossein, et al.. (2022). Deep learning for the classification of cervical maturation degree and pubertal growth spurts: A pilot study. The Korean Journal of Orthodontics. 52(2). 112–122. 32 indexed citations
4.
Mohammad‐Rahimi, Hossein, Saeed Reza Motamedian, Mohammad Hossein Rohban, et al.. (2022). Deep learning for caries detection: A systematic review. Journal of Dentistry. 122. 104115–104115. 161 indexed citations breakdown →
5.
Alam, Nader Riahi, et al.. (2021). Assessment of Motor Cortex in Active, Passive and Imagery Wrist Movement using Functional MRI. Journal of Biomedical Physics and Engineering. 11(4). 515–526. 2 indexed citations
6.
Mohammad‐Rahimi, Hossein, et al.. (2021). Application of Machine Learning in Diagnosis of COVID-19 Through X-Ray and CT Images: A Scoping Review. Frontiers in Cardiovascular Medicine. 8. 638011–638011. 65 indexed citations
7.
Mohammad‐Rahimi, Hossein, Mohadeseh Nadimi, Mohammad Hossein Rohban, et al.. (2021). Machine learning and orthodontics, current trends and the future opportunities: A scoping review. American Journal of Orthodontics and Dentofacial Orthopedics. 160(2). 170–192.e4. 71 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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