Ali Tafazzoli

531 total citations
37 papers, 357 citations indexed

About

Ali Tafazzoli is a scholar working on Economics and Econometrics, Management Science and Operations Research and Oncology. According to data from OpenAlex, Ali Tafazzoli has authored 37 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Economics and Econometrics, 9 papers in Management Science and Operations Research and 6 papers in Oncology. Recurrent topics in Ali Tafazzoli's work include Health Systems, Economic Evaluations, Quality of Life (10 papers), Simulation Techniques and Applications (8 papers) and Colorectal Cancer Screening and Detection (5 papers). Ali Tafazzoli is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (10 papers), Simulation Techniques and Applications (8 papers) and Colorectal Cancer Screening and Detection (5 papers). Ali Tafazzoli collaborates with scholars based in United States, Germany and Canada. Ali Tafazzoli's co-authors include James R. Wilson, Weicheng Ye, Natalie M. Steiger, Quanwu Zhang, Amir Abbas Tahami Monfared, M. Feldman, Emily K. Lada, A. Mark Fendrick, K. Jack Ishak and Martín Cowie and has published in prestigious journals such as IEEE Transactions on Automatic Control, Cancer Epidemiology Biomarkers & Prevention and Alzheimer s & Dementia.

In The Last Decade

Ali Tafazzoli

35 papers receiving 346 citations

Peers

Ali Tafazzoli

MSOR

SPU

PMH

PHYSI

Frank DeFalco United States

Éric Zapletal France

Imre Solti United States

Meehyung Cho United States

Ning Shang United States

Artur Akbarov United Kingdom

Jiewen Liu Taiwan

Margarita Sordo United States

Peter J. Embí United States

Erica A. Voss United States

Frank DeFalco United States

Ali Tafazzoli

76 ×1.0

59 ×1.0

MSOR

24 ×0.5

SPU

47 ×1.0

PMH

28 ×0.6

PHYSI

Citations per year, relative to Ali Tafazzoli Ali Tafazzoli (= 1×) peers Frank DeFalco

Countries citing papers authored by Ali Tafazzoli

Since Specialization

Citations

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

Fields of papers citing papers by Ali Tafazzoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Tafazzoli

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Tafazzoli. A scholar is included among the top collaborators of Ali Tafazzoli 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 Tafazzoli. Ali Tafazzoli 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

Tafazzoli, Ali, et al.. (2024). Cost-Effectiveness of a Multicancer Early Detection Test in the US. The American Journal of Managed Care. 30(12). e352–e358. 3 indexed citations

Feldman, M., et al.. (2023). EE509 Cost-Effectiveness of Multicancer Early Detection (MCED) With Preferential Detection of Clinically Aggressive Cancers. Value in Health. 26(12). S149–S149. 1 indexed citations

Monfared, Amir Abbas Tahami, et al.. (2022). A Simulation Model to Evaluate the Potential Impact of Disease-Modifying Treatments on Burden of Illness in Alzheimer’s Disease. Neurology and Therapy. 11(4). 1609–1623. 4 indexed citations

Tafazzoli, Ali, et al.. (2022). POSB44 Drivers of Value-Based Price (VBP) for a Multi-Cancer Early Detection (MCED) Test. Value in Health. 25(1). S68–S68. 1 indexed citations

Tafazzoli, Ali, et al.. (2022). The Potential Value-Based Price of a Multi-Cancer Early Detection Genomic Blood Test to Complement Current Single Cancer Screening in the USA. PharmacoEconomics. 40(11). 1107–1117. 29 indexed citations

Monfared, Amir Abbas Tahami, et al.. (2022). Long-Term Health Outcomes of Lecanemab in Patients with Early Alzheimer’s Disease Using Simulation Modeling. Neurology and Therapy. 11(2). 863–880. 43 indexed citations

Monfared, Amir Abbas Tahami, et al.. (2022). The Potential Economic Value of Lecanemab in Patients with Early Alzheimer’s Disease Using Simulation Modeling. Neurology and Therapy. 11(3). 1285–1307. 26 indexed citations

Tafazzoli, Ali, et al.. (2022). A European multinational cost-effectiveness analysis of empagliflozin in heart failure with reduced ejection fraction. The European Journal of Health Economics. 24(9). 1441–1454. 12 indexed citations

Tafazzoli, Ali, et al.. (2020). Efficiency Model of Cladribine Tablets Versus Infusion-Based Disease-Modifying Drugs for Patients with Relapsing-Remitting Multiple Sclerosis. Advances in Therapy. 37(9). 3791–3806. 1 indexed citations

10.

Tafazzoli, Ali, et al.. (2018). The Economic Impact of New Therapeutic Interventions on Neuropsychiatric Inventory (NPI) Symptom Scores in Patients with Alzheimer Disease. Dementia and Geriatric Cognitive Disorders Extra. 8(1). 158–173. 4 indexed citations

11.

Feldman, M., et al.. (2018). Alzheimer's disease Archimedes condition‐event simulator: Development and validation. Alzheimer s & Dementia Translational Research & Clinical Interventions. 4(1). 76–88. 18 indexed citations

12.

Peng, Siyang, et al.. (2015). Cost-effectiveness of DTG + ABC/3TC versus EFV/TDF/FTC for first-line treatment of HIV-1 in the United States. Journal of Medical Economics. 18(10). 763–776. 11 indexed citations

13.

Feldman, M., et al.. (2014). Comparison of a Markov Cohort Model and a Discrete-Event Simulation for Economic Analyses of Treatments for Multiple Sclerosis. Value in Health. 17(7). A398–A398.

14.

Baniasadi, Shadi, Fatemeh Dabaghzadeh, Shadi Farsaei, et al.. (2014). Increasing the number of adverse drug reactions reporting: the role of clinical pharmacy residents.. PubMed. 13(1). 291–7. 20 indexed citations

15.

Tafazzoli, Ali, et al.. (2012). An Ensemble-Based Approach for Representing Weather Uncertainty in Air Traffic Management. 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 16. 2 indexed citations

16.

Tafazzoli, Ali & James R. Wilson. (2010). Skart: A skewness- and autoregression-adjusted batch-means procedure for simulation analysis. IIE Transactions. 43(2). 110–128. 26 indexed citations

17.

Tafazzoli, Ali, et al.. (2010). Performance comparison of MSER-5 and N-Skart on the simulation start-up problem. Proceedings of the 2010 Winter Simulation Conference. 971–982. 2 indexed citations

18.

Tafazzoli, Ali & James R. Wilson. (2009). N-Skart: a nonsequential skewness- and autoregression-adjusted batch-means procedure for simulation analysis. Winter Simulation Conference. 652–662. 1 indexed citations

19.

Tafazzoli, Ali, James R. Wilson, Emily K. Lada, & Natalie M. Steiger. (2008). Skart: a skewness-and autoregression-adjusted batch-means procedure for simulation analysis. Winter Simulation Conference. 387–395. 11 indexed citations

20.

Tafazzoli, Ali, Stephen D. Roberts, Reid M. Ness, & Robert S. Dittus. (2005). A comparison of screening methods for colorectal cancer using simulation modeling. Winter Simulation Conference. 2236–2245. 1 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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