Alireza Borjali

1.1k total citations · 1 hit paper
19 papers, 750 citations indexed

About

Alireza Borjali is a scholar working on Surgery, Biomedical Engineering and Mechanical Engineering. According to data from OpenAlex, Alireza Borjali has authored 19 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 7 papers in Biomedical Engineering and 4 papers in Mechanical Engineering. Recurrent topics in Alireza Borjali's work include Orthopaedic implants and arthroplasty (10 papers), Orthopedic Infections and Treatments (6 papers) and Advanced X-ray and CT Imaging (4 papers). Alireza Borjali is often cited by papers focused on Orthopaedic implants and arthroplasty (10 papers), Orthopedic Infections and Treatments (6 papers) and Advanced X-ray and CT Imaging (4 papers). Alireza Borjali collaborates with scholars based in United States, Sweden and Iran. Alireza Borjali's co-authors include Mohammad Amin Morid, Guilherme Del Fiol, Kartik M. Varadarajan, Bart Raeymaekers, Orhun K. Muratoglu, Kenneth L. Monson, Antonia F. Chen, Maryam Tilton, Guha Manogharan and Henrik Malchau and has published in prestigious journals such as Medical Physics, Wear and Journal of Orthopaedic Research®.

In The Last Decade

Alireza Borjali

17 papers receiving 736 citations

Hit Papers

A scoping review of transfer learning research on medical... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alireza Borjali United States 11 204 182 165 164 139 19 750
Zhongliang Jiang Germany 15 212 1.0× 141 0.8× 464 2.8× 83 0.5× 65 0.5× 42 838
Pedro Morais Portugal 16 120 0.6× 337 1.9× 219 1.3× 87 0.5× 42 0.3× 88 934
María José Rupérez Spain 14 92 0.5× 199 1.1× 216 1.3× 72 0.4× 31 0.2× 38 565
João L. Vilaça Portugal 21 240 1.2× 349 1.9× 359 2.2× 101 0.6× 81 0.6× 155 1.6k
Zbigniew Nawrat Poland 11 136 0.7× 71 0.4× 240 1.5× 44 0.3× 59 0.4× 60 542
Hamed Saeidi United States 13 209 1.0× 46 0.3× 231 1.4× 30 0.2× 71 0.5× 33 541
Rodrigo Moreno Sweden 15 94 0.5× 177 1.0× 203 1.2× 51 0.3× 18 0.1× 42 555
Maureen van Eijnatten Netherlands 17 258 1.3× 262 1.4× 447 2.7× 48 0.3× 37 0.3× 31 899
Zhiyong Yang China 21 258 1.3× 428 2.4× 556 3.4× 125 0.8× 132 0.9× 132 1.4k
Jianxun Zhang China 14 151 0.7× 209 1.1× 359 2.2× 249 1.5× 95 0.7× 75 869

Countries citing papers authored by Alireza Borjali

Since Specialization
Citations

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

Fields of papers citing papers by Alireza Borjali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alireza Borjali

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

All Works

19 of 19 papers shown
1.
Varadarajan, Kartik M., et al.. (2025). A Magnetic Resonance Imaging–Based Clinical Prediction Model Accurately Identifies Patellar Instability Risk Using Common Patellofemoral Measurements. Arthroscopy Sports Medicine and Rehabilitation. 7(4). 101159–101159.
2.
Borjali, Alireza, et al.. (2024). Application of deep learning for automated diagnosis and classification of hip dysplasia on plain radiographs. BMC Musculoskeletal Disorders. 25(1). 7 indexed citations
3.
Borjali, Alireza, Soheil Ashkani‐Esfahani, Rohan Bhimani, et al.. (2023). The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight‐bearing CT scanning. Knee Surgery Sports Traumatology Arthroscopy. 31(12). 6039–6045. 6 indexed citations
4.
Tilton, Maryam, et al.. (2023). Fatigue properties of Ti-6Al-4V TPMS scaffolds fabricated via laser powder bed fusion. Manufacturing Letters. 37. 32–38. 20 indexed citations
5.
Borjali, Alireza, et al.. (2022). Effect of insertion process on biceps tendon reconstruction in BASHTI technique: An in-vitro study. Scientia Iranica. 29(3). 1265–1275.
6.
Moreno, M., et al.. (2022). Emissivity Prediction of Functionalized Surfaces Using Artificial Intelligence. arXiv (Cornell University). 8 indexed citations
7.
8.
Joo, Peter Y., Alireza Borjali, Antonia F. Chen, Orhun K. Muratoglu, & Kartik M. Varadarajan. (2022). Defining and predicting radiographic knee osteoarthritis progression: a systematic review of findings from the osteoarthritis initiative. Knee Surgery Sports Traumatology Arthroscopy. 30(12). 4015–4028. 9 indexed citations
9.
Borjali, Alireza, Antonia F. Chen, Hany S. Bedair, et al.. (2021). Comparing the performance of a deep convolutional neural network with orthopedic surgeons on the identification of total hip prosthesis design from plain radiographs. Medical Physics. 48(5). 2327–2336. 33 indexed citations
10.
Tilton, Maryam, et al.. (2021). On structure and mechanics of biomimetic meta-biomaterials fabricated via metal additive manufacturing. Materials & Design. 201. 109498–109498. 23 indexed citations
11.
Borjali, Alireza, Antonia F. Chen, Orhun K. Muratoglu, Mohammad Amin Morid, & Kartik M. Varadarajan. (2020). Deep Learning in Orthopedics: How Do We Build Trust in the Machine?. 19 indexed citations
12.
13.
Borjali, Alireza, et al.. (2020). DETECTING MECHANICAL LOOSENING OF TOTAL HIP ARTHROPLASTY USING DEEP CONVOLUTIONAL NEURAL NETWORK. 4 indexed citations
14.
Morid, Mohammad Amin, Alireza Borjali, & Guilherme Del Fiol. (2020). A scoping review of transfer learning research on medical image analysis using ImageNet. Computers in Biology and Medicine. 128. 104115–104115. 340 indexed citations breakdown →
15.
Borjali, Alireza, Antonia F. Chen, Orhun K. Muratoglu, Mohammad Amin Morid, & Kartik M. Varadarajan. (2020). Detecting total hip replacement prosthesis design on plain radiographs using deep convolutional neural network. Journal of Orthopaedic Research®. 38(7). 1465–1471. 85 indexed citations
16.
Borjali, Alireza, Kenneth L. Monson, & Bart Raeymaekers. (2019). Predicting the polyethylene wear rate in pin-on-disc experiments in the context of prosthetic hip implants: Deriving a data-driven model using machine learning methods. Tribology International. 133. 101–110. 45 indexed citations
17.
Borjali, Alireza, et al.. (2018). Microtextured CoCrMo alloy for use in metal-on-polyethylene prosthetic joint bearings: Multi-directional wear and corrosion measurements. Tribology International. 124. 178–183. 37 indexed citations
19.
Borjali, Alireza, et al.. (2017). Using a patterned microtexture to reduce polyethylene wear in metal-on-polyethylene prosthetic bearing couples. Wear. 392-393. 77–83. 42 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026