Ali S. Tejani

782 total citations
26 papers, 199 citations indexed

About

Ali S. Tejani is a scholar working on Radiology, Nuclear Medicine and Imaging, Health Informatics and Health. According to data from OpenAlex, Ali S. Tejani has authored 26 papers receiving a total of 199 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Health Informatics and 3 papers in Health. Recurrent topics in Ali S. Tejani's work include Artificial Intelligence in Healthcare and Education (14 papers), Radiology practices and education (11 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Ali S. Tejani is often cited by papers focused on Artificial Intelligence in Healthcare and Education (14 papers), Radiology practices and education (11 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Ali S. Tejani collaborates with scholars based in United States, Canada and Greece. Ali S. Tejani's co-authors include Walter F. Wiggins, Yin Xi, Charles E. Kahn, Linda Moy, Marc Kohli, Hesham Elhalawani, Travis Browning, Julia R. Fielding, Tessa S. Cook and Arzu Canan and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Radiographics.

In The Last Decade

Ali S. Tejani

19 papers receiving 193 citations

Peers

Ali S. Tejani

RNMI

PRM

Cedric Bohyn Belgium

Zongming Zhang China

Philip Rothschild Australia

Sisith Ariyaratne United Kingdom

Keith Dreyer United States

Eddie Guo Canada

Dana Brin Israel

Andreas Mittermeier Germany

Anna Theresa Stüber Germany

Jacqueline Justino Nabhen Brazil

Cedric Bohyn Belgium

Ali S. Tejani

186 ×1.7

170 ×1.6

RNMI

78 ×1.4

40 ×1.4

15 ×1.1

PRM

Citations per year, relative to Ali S. Tejani Ali S. Tejani (= 1×) peers Cedric Bohyn

Countries citing papers authored by Ali S. Tejani

Since Specialization

Citations

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

Fields of papers citing papers by Ali S. Tejani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ali S. Tejani. 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 Ali S. Tejani. The network helps show where Ali S. Tejani may publish in the future.

Co-authorship network of co-authors of Ali S. Tejani

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

All Works

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20 of 20 papers shown

Tejani, Ali S., Bardia Khosravi, Cody Savage, et al.. (2025). AI-generated Podcast Summaries of Radiology Articles: Analysis of Content and Quality. Radiology. 314(3). e243270–e243270. 1 indexed citations

D’Antonoli, Tugba Akinci, Ali S. Tejani, Bardia Khosravi, et al.. (2025). Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care. Radiology Artificial Intelligence. 7(4). e240739–e240739. 1 indexed citations

Molwitz, Isabel, Jennifer Erley, Tugba Akinci D’Antonoli, et al.. (2025). Economic Value of AI in Radiology: A Systematic Review. Radiology Artificial Intelligence. 8(1). e250090–e250090.

Park, Seong Ho, Chong Hyun Suh, Jeong Hyun Lee, et al.. (2025). Minimum Reporting Items for Clear Evaluation of Accuracy Reports of Large Language Models in Healthcare (MI-CLEAR-LLM): 2025 Updates. Korean Journal of Radiology. 26(12). 1123–1123.

Tejani, Ali S. & Pranav Rajpurkar. (2025). Human—Artificial Intelligence (AI) Interactions: A Conversation With Pranav Rajpurkar, From the AJR Video Series on AI in Radiology. American Journal of Roentgenology. 225(6). e2534003–e2534003.

Tejani, Ali S., Andreas M. Rauschecker, Marc Kohli, & John Mongan. (2025). AI for Radiology: A Primer Part I. From Idea to Algorithm. Radiology. 317(1). e250692–e250692.

Tejani, Ali S., et al.. (2024). Evolving With Artificial Intelligence: Integrating Artificial Intelligence and Imaging Informatics in a General Residency Curriculum With an Advanced Track. Journal of the American College of Radiology. 21(10). 1608–1612. 1 indexed citations

Tejani, Ali S., et al.. (2024). Integrating and Adopting AI in the Radiology Workflow: A Primer for Standards and Integrating the Healthcare Enterprise (IHE) Profiles. Radiology. 311(3). e232653–e232653. 11 indexed citations

Tejani, Ali S., Eliot L. Berson, J. Phillip, et al.. (2023). Diffusion-weighted imaging of the orbit. Clinical Radiology. 79(1). 10–18. 2 indexed citations

10.

Tejani, Ali S., Michail E. Klontzas, Anthony A. Gatti, et al.. (2023). Updating the Checklist for Artificial Intelligence in Medical Imaging (CLAIM) for reporting AI research. Nature Machine Intelligence. 5(9). 950–951. 9 indexed citations

11.

Doo, Florence X., et al.. (2023). Evaluation of Climate-Aware Metrics Tools for Radiology Informatics and Artificial Intelligence: Toward a Potential Radiology Ecolabel. Journal of the American College of Radiology. 21(2). 239–247. 3 indexed citations

12.

Tejani, Ali S. & Omer A. Awan. (2023). Radiology and the Media. Academic Radiology. 31(4). 1716–1718.

13.

Tejani, Ali S., Arzu Canan, Yin Xi, et al.. (2023). Deep Learning for Detection of Pneumothorax and Pleural Effusion on Chest Radiographs. Journal of Thoracic Imaging. 39(3). 185–193. 6 indexed citations

14.

Tejani, Ali S., et al.. (2022). Performance of Multiple Pretrained BERT Models to Automate and Accelerate Data Annotation for Large Datasets. Radiology Artificial Intelligence. 4(4). e220007–e220007. 21 indexed citations

15.

Ding, Jeffrey, et al.. (2022). American Society of Emergency Radiology (ASER) social media committee workgroup: best practices for the use of social media in emergency radiology. Emergency Radiology. 29(6). 1033–1042. 4 indexed citations

16.

Tejani, Ali S., et al.. (2022). Incidental Intercostal Intramuscular Myxoma With Fibrous Dysplasia in a Patient With Mazabraud’s and McCune Albright Syndromes. Cureus. 14(3). e22869–e22869.

17.

Tejani, Ali S., Hesham Elhalawani, Linda Moy, Marc Kohli, & Charles E. Kahn. (2022). Artificial Intelligence and Radiology Education. Radiology Artificial Intelligence. 5(1). e220084–e220084. 31 indexed citations

18.

Wiggins, Walter F. & Ali S. Tejani. (2022). On the Opportunities and Risks of Foundation Models for Natural Language Processing in Radiology. Radiology Artificial Intelligence. 4(4). e220119–e220119. 35 indexed citations

19.

Tejani, Ali S., et al.. (2020). Differential Eye Movements and Visual Contrast Acuity in National Collegiate Athletic Association Athletes. International Journal of Athletic Therapy & Training. 25(5). 270–275. 1 indexed citations

20.

Tejani, Ali S., et al.. (2020). Concurrent, Bilateral Presentation of Immature and Mature Ovarian Teratomas with Refractory Hyponatremia: A Case Report. Journal of Clinical Imaging Science. 10. 23–23. 3 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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