Aly Valliani

847 total citations
24 papers, 485 citations indexed

About

Aly Valliani is a scholar working on Surgery, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Aly Valliani has authored 24 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 5 papers in Artificial Intelligence and 5 papers in Biomedical Engineering. Recurrent topics in Aly Valliani's work include Medical Imaging and Analysis (4 papers), Spine and Intervertebral Disc Pathology (4 papers) and Hip and Femur Fractures (3 papers). Aly Valliani is often cited by papers focused on Medical Imaging and Analysis (4 papers), Spine and Intervertebral Disc Pathology (4 papers) and Hip and Femur Fractures (3 papers). Aly Valliani collaborates with scholars based in United States and Taiwan. Aly Valliani's co-authors include Eric K. Oermann, Daniel Ranti, You Hong Fan, Lauren A. Byers, Triparna Sen, David S. Shames, Bonnie S. Glisson, Julien Sage, Jing Wang and Helen Piwnica‐Worms and has published in prestigious journals such as PLoS ONE, Cancer Research and Scientific Reports.

In The Last Decade

Aly Valliani

23 papers receiving 479 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aly Valliani United States 10 130 113 108 97 81 24 485
Walter F. Wiggins United States 14 49 0.4× 124 1.1× 43 0.4× 103 1.1× 54 0.7× 43 595
Daniel Ranti United States 10 33 0.3× 66 0.6× 37 0.3× 124 1.3× 33 0.4× 29 374
Tianchang Li China 12 58 0.4× 69 0.6× 214 2.0× 114 1.2× 21 0.3× 45 680
Lara Harrison Finland 11 40 0.3× 68 0.6× 37 0.3× 66 0.7× 48 0.6× 14 560
Apinya Lertratanakul United States 13 58 0.4× 144 1.3× 71 0.7× 19 0.2× 44 0.5× 24 1.0k
Roy Harnish United States 11 50 0.4× 117 1.0× 63 0.6× 124 1.3× 13 0.2× 14 721
Meihao Wang China 15 76 0.6× 73 0.6× 36 0.3× 56 0.6× 36 0.4× 51 868
Yuyun Xu China 16 49 0.4× 95 0.8× 125 1.2× 70 0.7× 12 0.1× 50 601
Hongming Xu China 15 140 1.1× 47 0.4× 31 0.3× 36 0.4× 29 0.4× 46 575
Longzheng Tong China 7 50 0.4× 37 0.3× 77 0.7× 18 0.2× 40 0.5× 12 392

Countries citing papers authored by Aly Valliani

Since Specialization
Citations

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

Fields of papers citing papers by Aly Valliani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aly Valliani

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

All Works

20 of 20 papers shown
1.
Markowitz, Jonathan, Brian Cho, Varun Arvind, et al.. (2023). Weekend Admission Increases Risk of Readmissions Following Elective Cervical Spinal Fusion. Neurospine. 20(1). 290–300. 1 indexed citations
2.
Valliani, Aly, et al.. (2023). Teledermatology in medical student, postgraduate trainee, and global dermatology education: A systematic review. JAAD International. 11. 106–111. 2 indexed citations
3.
Geng, Eric, Jonathan S. Gal, Jun Kim, et al.. (2023). Robust prediction of nonhome discharge following elective anterior cervical discectomy and fusion using explainable machine learning. European Spine Journal. 32(6). 2149–2156. 6 indexed citations
4.
Cho, Brian, Varun Arvind, Aly Valliani, et al.. (2022). Weekend Admission Increases Risk of Readmissions Following Elective Thoracolumbar Spinal Fusion. Global Spine Journal. 14(2). 667–675. 4 indexed citations
5.
Serafini, Randal A., et al.. (2022). Portable hardware & software technologies for addressing ophthalmic health disparities: A systematic review. Digital Health. 8. 2282130004–2282130004. 5 indexed citations
6.
Cho, Brian, Eric Geng, Aly Valliani, et al.. (2022). Understanding Artificial Intelligence and Predictive Analytics. JBJS Reviews. 10(3). 11 indexed citations
7.
Geng, Eric, Brian Cho, Aly Valliani, et al.. (2022). Development of a machine learning algorithm to identify total and reverse shoulder arthroplasty implants from X-ray images. Journal of Orthopaedics. 35. 74–78. 9 indexed citations
8.
Shuman, William H., Aly Valliani, Emily Chapman, et al.. (2022). Intraoperative Navigation in Spine Surgery: Effects on Complications and Reoperations. World Neurosurgery. 160. e404–e411. 18 indexed citations
9.
Valliani, Aly, Young Joon Kwon, Michael L. Martini, et al.. (2022). Deploying deep learning models on unseen medical imaging using adversarial domain adaptation. PLoS ONE. 17(10). e0273262–e0273262. 7 indexed citations
10.
Valliani, Aly, et al.. (2022). Virtual Reality Hemifield Measurements for Corrective Surgery Eligibility in Ptosis Patients: A Pilot Clinical Trial. Translational Vision Science & Technology. 11(10). 35–35. 6 indexed citations
11.
Valliani, Aly, Nora C. Kim, Michael L. Martini, et al.. (2022). Robust Prediction of Non-home Discharge After Thoracolumbar Spine Surgery With Ensemble Machine Learning and Validation on a Nationwide Cohort. World Neurosurgery. 165. e83–e91. 14 indexed citations
12.
Chapman, Emily, Aly Valliani, William H. Shuman, et al.. (2021). Clinical Trials in Spinal Tumors: A Two-Decade Review. World Neurosurgery. 161. e39–e53. 7 indexed citations
13.
Martini, Michael L., Aly Valliani, Anthony Costa, et al.. (2021). Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordings. Scientific Reports. 11(1). 7482–7482. 11 indexed citations
14.
Serafini, Randal A., et al.. (2020). Superior Field Vision Screening in Ptosis Patients using Alternative Technologies. Investigative Ophthalmology & Visual Science. 61(7). 4275–4275. 1 indexed citations
15.
Kim, Jun, Varun Arvind, J Schwartz, et al.. (2020). P72. Natural language processing of operative note dictations to automatically generate CPT codes for billing. The Spine Journal. 20(9). S181–S182.
16.
Valliani, Aly, et al.. (2020). Multi-Site Assessment of Pediatric Bone Age Using Deep Learning. 1–5. 2 indexed citations
17.
Cho, Brian, Deepak Kaji, Zoe B. Cheung, et al.. (2019). Automated Measurement of Lumbar Lordosis on Radiographs Using Machine Learning and Computer Vision. Global Spine Journal. 10(5). 611–618. 58 indexed citations
18.
Valliani, Aly, Daniel Ranti, & Eric K. Oermann. (2019). Deep Learning and Neurology: A Systematic Review. Neurology and Therapy. 8(2). 351–365. 107 indexed citations
19.
Sen, Triparna, Pan Tong, C. Allison Stewart, et al.. (2017). CHK1 Inhibition in Small-Cell Lung Cancer Produces Single-Agent Activity in Biomarker-Defined Disease Subsets and Combination Activity with Cisplatin or Olaparib. Cancer Research. 77(14). 3870–3884. 145 indexed citations
20.
Valliani, Aly, et al.. (2017). Deep Residual Nets for Improved Alzheimer's Diagnosis. Works - Scholarship, Research, & Creative Expression (Swarthmore College). 615–615. 50 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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