Hossein Mohammad‐Rahimi

1.9k total citations · 1 hit paper
51 papers, 1.1k citations indexed

About

Hossein Mohammad‐Rahimi is a scholar working on Oral Surgery, Health Informatics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hossein Mohammad‐Rahimi has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Oral Surgery, 15 papers in Health Informatics and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hossein Mohammad‐Rahimi's work include Dental Radiography and Imaging (22 papers), Artificial Intelligence in Healthcare and Education (15 papers) and COVID-19 diagnosis using AI (6 papers). Hossein Mohammad‐Rahimi is often cited by papers focused on Dental Radiography and Imaging (22 papers), Artificial Intelligence in Healthcare and Education (15 papers) and COVID-19 diagnosis using AI (6 papers). Hossein Mohammad‐Rahimi collaborates with scholars based in Iran, United States and Germany. Hossein Mohammad‐Rahimi's co-authors include Falk Schwendicke, Rata Rokhshad, Saeed Reza Motamedian, Mohadeseh Nadimi, Joachim Krois, Mohammad Hossein Rohban, Soudeh Ghafouri‐Fard, Mohammad Taheri, Ali Nosrat and Omid Dianat and has published in prestigious journals such as Scientific Reports, International Journal of Environmental Research and Public Health and Journal of Endodontics.

In The Last Decade

Hossein Mohammad‐Rahimi

48 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning for caries detection: A systematic review

2022 161 citations Hossein Mohammad‐Rahimi, Saeed Reza Motamedian et al. Journal of Dentistry profile →

Peers

Countries citing papers authored by Hossein Mohammad‐Rahimi

Since Specialization

Citations

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

Fields of papers citing papers by Hossein Mohammad‐Rahimi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hossein Mohammad‐Rahimi. 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 Hossein Mohammad‐Rahimi. The network helps show where Hossein Mohammad‐Rahimi may publish in the future.

Co-authorship network of co-authors of Hossein Mohammad‐Rahimi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Artificial intelligence chatbots in endodontic education—Concepts and potential applications 2025 ·International Endodontic Journal ·Hossein Mohammad‐Rahimi, Frank Setzer, Anita Aminoshariae, P. M. H. Dummer, Henry F. Duncan, Ali Nosrat	7
2	Deep learning for dentomaxillofacial cone-beam computed tomography image quality enhancement: A pilot study 2025 ·Imaging Science in Dentistry ·(unknown), (unknown), (unknown), Hossein Mohammad‐Rahimi, (unknown), (unknown), (unknown), Ruben Pauwels, Falk Schwendicke	0
3	Performance of 7 Artificial Intelligence Chatbots on Board-style Endodontic Questions 2025 ·Journal of Endodontics ·(unknown), Hossein Mohammad‐Rahimi, Fengming Wang, (unknown), (unknown), Yanling Tian, Frederico C. Martinho, Ali Nosrat	0
4	Efficacy and empathy of AI chatbots in answering frequently asked questions on oral oncology 2025 ·Oral Surgery Oral Medicine Oral Pathology and Oral Radiology ·Rata Rokhshad, Zaid H. Khoury, Hossein Mohammad‐Rahimi, (unknown), Jeffery B. Price, (unknown), Maryam Jessri, (unknown), James J. Sciubba, Ahmed S. Sultan	9
5	Accuracy and consistency of chatbots versus clinicians for answering pediatric dentistry questions: A pilot study 2024 ·Journal of Dentistry ·Rata Rokhshad, Ping Zhang, Hossein Mohammad‐Rahimi, Vinay Pitchika, (unknown), Falk Schwendicke	50
6	A hierarchical deep learning approach for diagnosing impacted canine-induced root resorption via cone-beam computed tomography 2024 ·BMC Oral Health ·(unknown), Hossein Mohammad‐Rahimi, Saeed Reza Motamedian, (unknown), Reza Abbasi, Mohammad Hossein Rohban, Mina Mahdian, Mitra Ghazizadeh Ahsaie, (unknown)	2
7	Deep Learning‐Based Image Classification and Segmentation on Digital Histopathology for Oral Squamous Cell Carcinoma: A Systematic Review and Meta‐Analysis 2024 ·Journal of Oral Pathology and Medicine ·(unknown), Hossein Mohammad‐Rahimi, (unknown), Saeed Reza Motamedian, Tahereh Sadeghi, (unknown), Rata Rokhshad, (unknown), (unknown), (unknown), Zaid H. Khoury, Maryam Jessri, Ahmed S. Sultan	5
8	Artificial intelligence for classification and detection of oral mucosa lesions on photographs: a systematic review and meta-analysis 2024 ·Clinical Oral Investigations ·Rata Rokhshad, Hossein Mohammad‐Rahimi, Jeffery B. Price, (unknown), (unknown), (unknown), (unknown), (unknown), Saeed Reza Motamedian, Parisa Soltani, Falk Schwendicke	17
9	Evaluation of AI-generated responses by different artificial intelligence chatbots to the clinical decision-making case-based questions in oral and maxillofacial surgery 2024 ·Oral Surgery Oral Medicine Oral Pathology and Oral Radiology ·(unknown), (unknown), Hossein Mohammad‐Rahimi, Reza Tabrizi, Mostafa Alam, (unknown)	20
10	Ethical considerations on artificial intelligence in dentistry: A framework and checklist 2023 ·Journal of Dentistry ·Rata Rokhshad, Maxime Ducret, Akhilanand Chaurasia, (unknown), Miroslav Radenković, Jelena Roganović, (unknown), Hossein Mohammad‐Rahimi, Joachim Krois, Pierre Lahoud, Falk Schwendicke	58
11	Federated vs Local vs Central Deep Learning of Tooth Segmentation on Panoramic Radiographs 2023 ·Journal of Dentistry ·Lisa Schneider, (unknown), Joachim Krois, (unknown), M. Büttner, Hossein Mohammad‐Rahimi, Akhilanand Chaurasia, (unknown), Jae‐Hong Lee, Sergio Uribe, (unknown), (unknown), (unknown), Yolanda Martínez Beneyto, (unknown), (unknown), Falk Schwendicke	21
12	Detection of dental restorations using no-code artificial intelligence 2023 ·Journal of Dentistry ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Hossein Mohammad‐Rahimi	4
13	A deep learning framework to scale linear facial measurements to actual size using horizontal visible iris diameter: a study on an Iranian population 2023 ·Scientific Reports ·(unknown), (unknown), Arash Farzan, Mohammad Hossein Rohban, (unknown), Hossein Mohammad‐Rahimi, Saeed Reza Motamedian	3
14	Super-Resolution of Dental Panoramic Radiographs Using Deep Learning: A Pilot Study 2023 ·Diagnostics ·Hossein Mohammad‐Rahimi, Shankeeth Vinayahalingam, (unknown), Parisa Soltani, Stefaan Bergé, Joachim Krois, Falk Schwendicke	10
15	Deep learning: A primer for dentists and dental researchers 2023 ·Journal of Dentistry ·Hossein Mohammad‐Rahimi, Rata Rokhshad, Sompop Bencharit, Joachim Krois, Falk Schwendicke	58
16	Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis 2023 ·Dentomaxillofacial Radiology ·(unknown), Rata Rokhshad, Yasaman Daghighi, (unknown), (unknown), (unknown), (unknown), (unknown), Parnian Shobeiri, (unknown), Hossein Mohammad‐Rahimi	6
17	Deep learning for the classification of cervical maturation degree and pubertal growth spurts: A pilot study 2022 ·The Korean Journal of Orthodontics ·Hossein Mohammad‐Rahimi, (unknown), Mohadeseh Nadimi, (unknown), (unknown), (unknown), Victor Y. Lee, Mohammad Hossein Rohban	32
18	Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning 2022 ·Diagnostics ·(unknown), Ulrike Kuchler, Falk Schwendicke, Lisa Schneider, (unknown), Tong Xi, Shankeeth Vinayahalingam, Tzu-Ming Harry Hsu, (unknown), Akhilanand Chaurasia, Kunaal Dhingra, Robert Gaudin, Hossein Mohammad‐Rahimi, (unknown), (unknown), (unknown), Sergio Uribe, Marcel Hanisch, Joachim Krois	14
19	Discrimination of Patients with Prostate Cancer from Healthy Persons Using a Set of Single Nucleotide Polymorphisms. 2021 ·Homo Politicus (Academy of Humanities and Economics in Lodz) ·Mir Davood Omrani, Hossein Mohammad‐Rahimi, Abbas Basiri, (unknown), Rezvan Noroozi, Mohammad Taheri, Soudeh Ghafouri‐Fard	3
20	Application of machine learning in the prediction of COVID-19 daily new cases: A scoping review 2021 ·Heliyon ·Soudeh Ghafouri‐Fard, Hossein Mohammad‐Rahimi, (unknown), (unknown), Mohammad Taheri, (unknown)	44

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.

Explore authors with similar magnitude of impact