Sina Rashidian

507 total citations
21 papers, 283 citations indexed

About

Sina Rashidian is a scholar working on Epidemiology, Public Health, Environmental and Occupational Health and Artificial Intelligence. According to data from OpenAlex, Sina Rashidian has authored 21 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Artificial Intelligence. Recurrent topics in Sina Rashidian's work include Opioid Use Disorder Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Substance Abuse Treatment and Outcomes (6 papers). Sina Rashidian is often cited by papers focused on Opioid Use Disorder Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Substance Abuse Treatment and Outcomes (6 papers). Sina Rashidian collaborates with scholars based in United States, Iran and France. Sina Rashidian's co-authors include Fusheng Wang, Richard N. Rosenthal, Mary Saltz, Joel Saltz, Wei Hou, Jianyuan Deng, Xia Zhao, Janos Hajagos, Yu Wang and Ali Movaghar and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and American Journal of Preventive Medicine.

In The Last Decade

Sina Rashidian

21 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sina Rashidian United States 10 94 86 77 38 31 21 283
Helen Rostill United Kingdom 10 35 0.4× 28 0.3× 21 0.3× 11 0.3× 17 0.5× 15 367
Patrick J. Donnelly United States 7 21 0.2× 217 2.5× 177 2.3× 15 0.4× 10 0.3× 14 488
Michael Chary United States 12 59 0.6× 50 0.6× 81 1.1× 2 0.1× 21 0.7× 25 464
Samah Fodeh United States 14 35 0.4× 225 2.6× 42 0.5× 2 0.1× 67 2.2× 43 539
T. Elizabeth Workman United States 10 55 0.6× 120 1.4× 26 0.3× 2 0.1× 20 0.6× 40 404
Jeffrey W. Pennington United States 9 32 0.3× 33 0.4× 65 0.8× 3 0.1× 5 0.2× 24 278
Brihat Sharma United States 12 120 1.3× 103 1.2× 83 1.1× 1 0.0× 15 0.5× 21 313
Masoud Rouhizadeh United States 11 21 0.2× 121 1.4× 67 0.9× 6 0.2× 34 1.1× 40 433
Yao‐Mei Chen Taiwan 13 40 0.4× 60 0.7× 15 0.2× 3 0.1× 53 1.7× 29 591
Oliver Wang United States 7 27 0.3× 113 1.3× 60 0.8× 5 0.1× 26 0.8× 13 363

Countries citing papers authored by Sina Rashidian

Since Specialization
Citations

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

Fields of papers citing papers by Sina Rashidian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sina Rashidian

This figure shows the co-authorship network connecting the top 25 collaborators of Sina Rashidian. A scholar is included among the top collaborators of Sina Rashidian 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 Sina Rashidian. Sina Rashidian 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.
Zhao, Xia, Sina Rashidian, Furqan Baig, et al.. (2023). GlanceWriter: Writing Text by Glancing Over Letters with Gaze. 1–13. 17 indexed citations
2.
Oh, Ki, et al.. (2023). Epidemiologic patterns of adolescent idiopathic scoliosis detection and treatment in new york state. Journal of Pediatric Orthopaedics B. 32(6). 507–516. 3 indexed citations
3.
Estiri, Hossein, Zachary H. Strasser, Sina Rashidian, et al.. (2022). An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. Journal of the American Medical Informatics Association. 29(8). 1334–1341. 19 indexed citations
4.
Rashidian, Sina, et al.. (2022). Where Opioid Overdose Patients Live Far From Treatment: Geospatial Analysis of Underserved Populations in New York State. JMIR Public Health and Surveillance. 8(4). e32133–e32133. 7 indexed citations
5.
Zhao, Maozheng, Henry D. Huang, Zhi Li, et al.. (2022). EyeSayCorrect: Eye Gaze and Voice Based Hands-free Text Correction for Mobile Devices. 470–482. 18 indexed citations
6.
Hou, Wei, et al.. (2021). Association of Opioid Use Disorder With 2016 Presidential Voting Patterns: Cross-sectional Study in New York State at Census Tract Level. JMIR Public Health and Surveillance. 7(4). e23426–e23426. 1 indexed citations
7.
Deng, Jianyuan, Wei Hou, Sina Rashidian, et al.. (2021). Predicting opioid overdose risk of patients with opioid prescriptions using electronic health records based on temporal deep learning. Journal of Biomedical Informatics. 116. 103725–103725. 29 indexed citations
8.
Deng, Jianyuan, Sina Rashidian, Wei Hou, et al.. (2021). Identifying risk of opioid use disorder for patients taking opioid medications with deep learning. Journal of the American Medical Informatics Association. 28(8). 1683–1693. 27 indexed citations
9.
Chen, Xin, Wei Hou, Sina Rashidian, et al.. (2021). A large-scale retrospective study of opioid poisoning in New York State with implications for targeted interventions. Scientific Reports. 11(1). 5152–5152. 2 indexed citations
10.
Li, Zhi, Maozheng Zhao, Yifan Wang, et al.. (2021). BayesGaze: A Bayesian Approach to Eye-Gaze Based Target Selection. PubMed. 2021. 231–240. 9 indexed citations
11.
Rashidian, Sina, et al.. (2020). Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach. Journal of Medical Internet Research. 22(11). e15293–e15293. 41 indexed citations
12.
Rashidian, Sina, Janos Hajagos, Richard A. Moffitt, et al.. (2020). Detecting Miscoded Diabetes Diagnosis Codes in Electronic Health Records for Quality Improvement: Temporal Deep Learning Approach. JMIR Medical Informatics. 8(12). e22649–e22649. 4 indexed citations
13.
Deng, Jianyuan, Wei Hou, Sina Rashidian, et al.. (2020). Predicting Opioid Overdose Risk of Patients with Opioid Prescriptions Using Electronic Health Records Based on Temporal Deep Learning. SSRN Electronic Journal. 1 indexed citations
14.
Schoenfeld, Elinor, George S. Leibowitz, Yu Wang, et al.. (2019). Geographic, Temporal, and Sociodemographic Differences in Opioid Poisoning. American Journal of Preventive Medicine. 57(2). 153–164. 17 indexed citations
15.
Rashidian, Sina, Janos Hajagos, Richard A. Moffitt, et al.. (2019). Deep Learning on Electronic Health Records to Improve Disease Coding Accuracy.. PubMed. 2019. 620–629. 16 indexed citations
16.
Rashidian, Sina, Yu Wang, Janos Hajagos, et al.. (2019). Machine Learning Based Opioid Overdose Prediction Using Electronic Health Records.. PubMed. 2019. 389–398. 36 indexed citations
17.
Choi, Minsig, et al.. (2019). Comparison of neoadjuvant and adjuvant therapy for resectable pancreatic cancer using Markov decision modeling.. Journal of Clinical Oncology. 37(4_suppl). 448–448. 1 indexed citations
18.
Rashidian, Sina, et al.. (2017). Effective Scalable and Integrative Geocoding for Massive Address Datasets. 1–10. 6 indexed citations
19.
Rashidian, Sina, et al.. (2015). Noise-tolerant model selection and parameter estimation for complex networks. Physica A Statistical Mechanics and its Applications. 427. 100–112. 4 indexed citations
20.
Rashidian, Sina, et al.. (2015). Distance metric learning for complex networks: Towards size-independent comparison of network structures. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(2). 23111–23111. 20 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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