Ali Sabri

694 total citations
15 papers, 378 citations indexed

About

Ali Sabri is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Infectious Diseases. According to data from OpenAlex, Ali Sabri has authored 15 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Oncology and 4 papers in Infectious Diseases. Recurrent topics in Ali Sabri's work include COVID-19 diagnosis using AI (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 and healthcare impacts (4 papers). Ali Sabri is often cited by papers focused on COVID-19 diagnosis using AI (10 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 and healthcare impacts (4 papers). Ali Sabri collaborates with scholars based in Canada, Iran and United States. Ali Sabri's co-authors include Alexander Wong, Hayden Gunraj, David Koff, Amer Alaref, Arash Mahdavi, Amir H. Davarpanah, Morteza Sanei Taheri, Sara Haseli, Shahram Kahkouee and Ali Mahdavi and has published in prestigious journals such as European Radiology, Frontiers in Medicine and Journal of the American College of Radiology.

In The Last Decade

Ali Sabri

15 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ali Sabri Canada	11	265	99	84	84	72	15	378
Victor Savevski Italy	13	202 0.8×	75 0.8×	68 0.8×	87 1.0×	88 1.2×	32	383
Peng An China	8	161 0.6×	47 0.5×	138 1.6×	61 0.7×	48 0.7×	44	359
Weifang Kong China	5	225 0.8×	50 0.5×	86 1.0×	119 1.4×	30 0.4×	9	340
Danielle Toussie United States	6	243 0.9×	140 1.4×	40 0.5×	173 2.1×	91 1.3×	18	418
Jaideep Chakladar United States	12	99 0.4×	47 0.5×	58 0.7×	100 1.2×	111 1.5×	23	505
Zeno Falaschi Italy	9	158 0.6×	53 0.5×	42 0.5×	67 0.8×	30 0.4×	18	260
Lionel Tim‐Ee Cheng Singapore	10	164 0.6×	59 0.6×	69 0.8×	98 1.2×	66 0.9×	31	453
Young Kyung Lee South Korea	7	357 1.3×	96 1.0×	57 0.7×	267 3.2×	90 1.3×	19	564
Jocelyn Zhu United States	5	213 0.8×	49 0.5×	97 1.2×	98 1.2×	33 0.5×	5	286
Yogesh Sean Gupta United States	5	198 0.7×	109 1.1×	33 0.4×	149 1.8×	76 1.1×	10	349

Countries citing papers authored by Ali Sabri

Since Specialization

Citations

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

Fields of papers citing papers by Ali Sabri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Sabri

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

All Works

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15 of 15 papers shown

Schwalm, Jon-David, Zachary Bouck, Madhu K. Natarajan, et al.. (2022). Centralized Triage of Suspected Coronary Artery Disease Using Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography. CJC Open. 5(2). 148–157. 5 indexed citations

Gunraj, Hayden, et al.. (2022). MEDUSA: Multi-Scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. Frontiers in Medicine. 8. 821120–821120. 11 indexed citations

Wong, Alexander, et al.. (2022). TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images. Frontiers in Artificial Intelligence. 5. 827299–827299. 26 indexed citations

Chung, Audrey G., et al.. (2022). COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images. Frontiers in Medicine. 9. 861680–861680. 25 indexed citations

Gunraj, Hayden, Ali Sabri, David Koff, & Alexander Wong. (2022). COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning. Frontiers in Medicine. 8. 729287–729287. 51 indexed citations

Shafiee, Mohammad Javad, et al.. (2021). COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. Diagnostics. 12(1). 25–25. 27 indexed citations

Davarpanah, Amir H., Yashar Moharamzad, Arash Mahdavi, et al.. (2020). Risk Factors for Poor Outcome in Patients with Severe Viral Pneumonia on Chest CT during the COVID-19 Outbreak: a Perspective from Iran. SN Comprehensive Clinical Medicine. 2(9). 1366–1376. 10 indexed citations

Davarpanah, Amir H., Arash Mahdavi, Ali Sabri, et al.. (2020). Novel Screening and Triage Strategy in Iran During Deadly Coronavirus Disease 2019 (COVID-19) Epidemic: Value of Humanitarian Teleconsultation Service. Journal of the American College of Radiology. 17(6). 734–738. 58 indexed citations

Sabri, Ali, Morteza Sanei Taheri, Arash Mahdavi, & Julian Dobranowski. (2020). 63-year-old male treated for COVID-19. Polskie Archiwum Medycyny Wewnętrznej. 130(4). 324–325. 1 indexed citations

10.

Sabri, Ali, et al.. (2020). The challenge of deciding between home-discharge versus hospitalization in COVID-19 patients: The role of initial imaging and clinicolaboratory data. Clinical Epidemiology and Global Health. 10. 100673–100673. 5 indexed citations

11.

Sabri, Ali, Amir H. Davarpanah, Arash Mahdavi, et al.. (2020). Novel coronavirus disease 2019: predicting prognosis by using a computed tomography severity score and clinicolaboratory data. Polskie Archiwum Medycyny Wewnętrznej. 130(7-8). 629–634. 17 indexed citations

12.

Saeed, Umar, Ali Sabri, Bojan Kovacina, et al.. (2020). Radiogenomic Models Using Machine Learning Techniques to Predict EGFR Mutations in Non-Small Cell Lung Cancer. Canadian Association of Radiologists Journal. 72(1). 109–119. 65 indexed citations

13.

Mahdavi, Arash, Nastaran Khalili, Amir H. Davarpanah, et al.. (2020). Radiologic Management of COVID-19: Preliminary Experience of the Iranian Society of Radiology COVID-19 Consultant Group (ISRCC). Iranian Journal of Radiology. 17(2). 45 indexed citations

14.

Sabri, Ali, et al.. (2016). Predicting EGFR mutation status in lung cancer:Proposal for a scoring model using imaging and demographic characteristics. European Radiology. 26(11). 4141–4147. 28 indexed citations

15.

Sabri, Ali, et al.. (2012). Difficulties Encountered by Pre-Service Classroom Teachers in Constructing Stories about Line Graphs. 4 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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