Hossein Estiri

2.8k total citations · 1 hit paper
45 papers, 1.0k citations indexed

About

Hossein Estiri is a scholar working on Artificial Intelligence, Economics and Econometrics and Health Information Management. According to data from OpenAlex, Hossein Estiri has authored 45 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Economics and Econometrics and 8 papers in Health Information Management. Recurrent topics in Hossein Estiri's work include Machine Learning in Healthcare (11 papers), Housing Market and Economics (8 papers) and Electronic Health Records Systems (8 papers). Hossein Estiri is often cited by papers focused on Machine Learning in Healthcare (11 papers), Housing Market and Economics (8 papers) and Electronic Health Records Systems (8 papers). Hossein Estiri collaborates with scholars based in United States, Australia and Germany. Hossein Estiri's co-authors include Shawn N. Murphy, Emilio Zagheni, Zachary H. Strasser, Jeffrey G. Klann, Kavishwar B. Wagholikar, Erin Holve, Siaw‐Teng Liaw, Lisa M. Schilling, Steve Johnson and Toan C. Ong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Scientific Reports.

In The Last Decade

Hossein Estiri

43 papers receiving 1000 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Harmonized Data Quality Assessment Terminology and Framework for the Secondary Use of Electronic Health Record Data

2016 347 citations Hossein Estiri et al. SHILAP Revista de lepidopterología profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hossein Estiri United States	15	221	204	164	160	134	45	1.0k
Li Luo China	19	58 0.3×	131 0.6×	291 1.8×	156 1.0×	41 0.3×	90	1.4k
Julie S. Ivy United States	20	45 0.2×	193 0.9×	76 0.5×	132 0.8×	54 0.4×	81	1.3k
Ricardo Cruz‐Correia Portugal	22	277 1.3×	362 1.8×	181 1.1×	84 0.5×	21 0.2×	154	1.6k
Nalini Chintalapudi Italy	21	196 0.9×	479 2.3×	52 0.3×	122 0.8×	14 0.1×	54	1.6k
Z. Kmietowicz United Kingdom	14	25 0.1×	91 0.4×	272 1.7×	177 1.1×	29 0.2×	213	1.3k
Mecit Can Emre Simsekler United Arab Emirates	21	83 0.4×	97 0.5×	65 0.4×	103 0.6×	23 0.2×	81	1.2k
Vineet Jain India	22	16 0.1×	66 0.3×	117 0.7×	80 0.5×	42 0.3×	82	1.3k
Kee Yuan Ngiam Singapore	17	275 1.2×	532 2.6×	41 0.3×	48 0.3×	10 0.1×	71	2.0k
Mónica Duarte Oliveira Portugal	22	42 0.2×	93 0.5×	229 1.4×	332 2.1×	56 0.4×	72	1.3k

Countries citing papers authored by Hossein Estiri

Since Specialization

Citations

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

Fields of papers citing papers by Hossein Estiri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hossein Estiri

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

Rezaii, Neguine, Valdery Moura, Deborah Blacker, et al.. (2026). An autonomous agentic workflow for clinical detection of cognitive concerns using large language models. npj Digital Medicine. 9(1). 51–51. 1 indexed citations

Azhir, Alaleh, et al.. (2025). Signal Fidelity Index-aware calibration for addressing distributional shift in predictive modeling across heterogeneous real-world data. Scientific Reports. 16(1). 2807–2807.

Spoto, F., Christine S. Ritchie, Deborah Blacker, et al.. (2025). Quantifying diagnostic signal decay in dementia: a national study of Medicare hospitalization data. Alzheimer s & Dementia. 21(11). e70945–e70945. 1 indexed citations

Azhir, Alaleh, Ingrid V. Bassett, Douglas S. Bell, et al.. (2024). Precision phenotyping for curating research cohorts of patients with unexplained post-acute sequelae of COVID-19. Med. 6(3). 100532–100532. 2 indexed citations

Klann, Jeffrey G., Darren W. Henderson, Michele Morris, et al.. (2023). A broadly applicable approach to enrich electronic-health-record cohorts by identifying patients with complete data: a multisite evaluation. Journal of the American Medical Informatics Association. 30(12). 1985–1994. 2 indexed citations

Azhir, Alaleh, Zachary H. Strasser, Shawn N. Murphy, & Hossein Estiri. (2023). Severity of COVID-19–Related Illness in Massachusetts, July 2021 to December 2022. JAMA Network Open. 6(4). e238203–e238203. 1 indexed citations

Estiri, Hossein, Alaleh Azhir, Deborah Blacker, et al.. (2023). Temporal characterization of Alzheimer's Disease with sequences of clinical records. EBioMedicine. 92. 104629–104629. 4 indexed citations

Strasser, Zachary H., Arianna Dagliati, Zahra Shakeri Hossein Abad, et al.. (2023). A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework. SHILAP Revista de lepidopterología. 2(7). e0000301–e0000301. 2 indexed citations

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

10.

Estiri, Hossein, et al.. (2021). Predicting COVID-19 mortality with electronic medical records. npj Digital Medicine. 4(1). 15–15. 76 indexed citations

11.

Estiri, Hossein, Zachary H. Strasser, & Shawn N. Murphy. (2021). Individualized prediction of COVID-19 adverse outcomes with MLHO. Scientific Reports. 11(1). 5322–5322. 21 indexed citations

12.

Chandwani, Sheenu, et al.. (2021). PCN37 An Oncology Real-World Data Assessment Framework for Outcomes Research. Value in Health. 24. S25–S25. 2 indexed citations

13.

Estiri, Hossein, Zachary H. Strasser, & Shawn N. Murphy. (2020). High-throughput phenotyping with temporal sequences. Journal of the American Medical Informatics Association. 28(4). 772–781. 15 indexed citations

14.

Estiri, Hossein, Zachary H. Strasser, Thomas H. McCoy, et al.. (2020). Transitive Sequencing Medical Records for Mining Predictive and Interpretable Temporal Representations. Patterns. 1(4). 100051–100051. 13 indexed citations

15.

Wagholikar, Kavishwar B., et al.. (2020). Polar labeling: silver standard algorithm for training disease classifiers. Bioinformatics. 36(10). 3200–3206. 6 indexed citations

16.

Estiri, Hossein, Jeffrey G. Klann, & Shawn N. Murphy. (2019). A clustering approach for detecting implausible observation values in electronic health records data. BMC Medical Informatics and Decision Making. 19(1). 142–142. 32 indexed citations

17.

Estiri, Hossein & Shawn N. Murphy. (2019). Semi-supervised encoding for outlier detection in clinical observation data. Computer Methods and Programs in Biomedicine. 181. 104830–104830. 14 indexed citations

18.

Estiri, Hossein & Kari A. Stephens. (2017). DQe-v: A Database-Agnostic Framework for Exploring Variability in Electronic Health Record Data Across Time and Site Location. SHILAP Revista de lepidopterología. 5(1). 3–3. 11 indexed citations

19.

Stephens, Kari A., et al.. (2016). Implementing partnership-driven clinical federated electronic health record data sharing networks. International Journal of Medical Informatics. 93. 26–33. 10 indexed citations

20.

Cole, Allison, Kari A. Stephens, Gina A. Keppel, Hossein Estiri, & Laura‐Mae Baldwin. (2016). Extracting Electronic Health Record Data in a Practice-Based Research Network: Lessons Learned from Collaborations with Translational Researchers. eGEMs (Generating Evidence & Methods to improve patient outcomes). 4(2). 4–4. 11 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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