Fatemeh Amrollahi

466 total citations
13 papers, 248 citations indexed

About

Fatemeh Amrollahi is a scholar working on Epidemiology, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Fatemeh Amrollahi has authored 13 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Artificial Intelligence and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Fatemeh Amrollahi's work include Sepsis Diagnosis and Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Heart Failure Treatment and Management (2 papers). Fatemeh Amrollahi is often cited by papers focused on Sepsis Diagnosis and Treatment (7 papers), Machine Learning in Healthcare (6 papers) and Heart Failure Treatment and Management (2 papers). Fatemeh Amrollahi collaborates with scholars based in United States, Iran and Canada. Fatemeh Amrollahi's co-authors include Sameer H. Halani, Lee Cooper, Safoora Yousefi, Daniel J. Brat, Joshua E. Lewis, Congzheng Song, Shamim Nemati, Mohamed Amgad, Chengliang Dong and Supreeth P. Shashikumar and has published in prestigious journals such as Scientific Reports, Journal of the American Medical Informatics Association and Journal of Hospital Medicine.

In The Last Decade

Fatemeh Amrollahi

13 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fatemeh Amrollahi United States 6 86 64 56 50 44 13 248
Thomas M. Gudewicz United States 9 127 1.5× 115 1.8× 30 0.5× 37 0.7× 38 0.9× 14 343
Kwangsoon Kim South Korea 14 45 0.5× 52 0.8× 65 1.2× 19 0.4× 35 0.8× 67 525
Ibrahim N. Muhsen United States 10 59 0.7× 52 0.8× 42 0.8× 12 0.2× 29 0.7× 41 292
Romulo Celli United States 10 87 1.0× 36 0.6× 68 1.2× 28 0.6× 96 2.2× 22 393
Quang Hien Kha Taiwan 5 57 0.7× 59 0.9× 128 2.3× 20 0.4× 15 0.3× 11 287
Anurag Saraf United States 11 50 0.6× 39 0.6× 108 1.9× 57 1.1× 23 0.5× 37 394
Zheng Jing China 4 63 0.7× 87 1.4× 62 1.1× 44 0.9× 25 0.6× 9 230
Zhuoran Xu United States 8 53 0.6× 34 0.5× 45 0.8× 25 0.5× 13 0.3× 13 210
Shitao Jiang China 11 25 0.3× 92 1.4× 69 1.2× 65 1.3× 40 0.9× 31 384
Corrado Chiappa Italy 12 43 0.5× 25 0.4× 50 0.9× 61 1.2× 38 0.9× 22 302

Countries citing papers authored by Fatemeh Amrollahi

Since Specialization
Citations

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

Fields of papers citing papers by Fatemeh Amrollahi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fatemeh Amrollahi

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

All Works

13 of 13 papers shown
1.
Sahashi, Yuki, Fatemeh Amrollahi, Hirsh D. Trivedi, et al.. (2025). Opportunistic Screening of Chronic Liver Disease with Deep-Learning–Enhanced Echocardiography. NEJM AI. 2(3). 4 indexed citations
2.
Amrollahi, Fatemeh, et al.. (2025). The impact of a best practice advisory for shifting to oral medications: A quality improvement project. Journal of Hospital Medicine. 20(12). 1377–1382. 1 indexed citations
3.
Amrollahi, Fatemeh, Supreeth P. Shashikumar, Atul Malhotra, et al.. (2024). Prediction of Readmission Following Sepsis Using Social Determinants of Health. Critical Care Explorations. 6(6). e1099–e1099. 4 indexed citations
4.
Shashikumar, Supreeth P., et al.. (2023). Development & Deployment of a Real-time Healthcare Predictive Analytics Platform. PubMed. 2023. 1–4. 3 indexed citations
5.
Amrollahi, Fatemeh, et al.. (2023). Predicting Hospital Readmission among Patients with Sepsis Using Clinical and Wearable Data. PubMed. 2023. 1–4. 2 indexed citations
6.
Shashikumar, Supreeth P., Fatemeh Amrollahi, & Shamim Nemati. (2023). Unsupervised Detection and Correction of Model Calibration Shift at Test-Time. PubMed. 2023. 1–4. 1 indexed citations
7.
Amrollahi, Fatemeh, Supreeth P. Shashikumar, Andre L. Holder, & Shamim Nemati. (2022). Leveraging clinical data across healthcare institutions for continual learning of predictive risk models. Scientific Reports. 12(1). 8380–8380. 26 indexed citations
8.
Amrollahi, Fatemeh, Supreeth P. Shashikumar, Angela Meier, et al.. (2022). Inclusion of social determinants of health improves sepsis readmission prediction models. Journal of the American Medical Informatics Association. 29(7). 1263–1270. 20 indexed citations
9.
Amrollahi, Fatemeh, Supreeth P. Shashikumar, Pradeeban Kathiravelu, Ashish Sharma, & Shamim Nemati. (2020). AIDEx - An Open-source Platform for Real-Time Forecasting Sepsis and A Case Study on Taking ML Algorithms to Production. PubMed. 2020. 5610–5614. 8 indexed citations
10.
Mirzaei, Masoud, et al.. (2019). Establishment of cardiac rehabilitation program in Yazd-Iran: An experience of a developing country. IJC Heart & Vasculature. 24. 100406–100406. 7 indexed citations
11.
Amrollahi, Fatemeh, et al.. (2018). DeepAISE on FHIR — An Interoperable Real-Time Predictive Analytic Platform for Early Prediction of Sepsis. American Medical Informatics Association Annual Symposium. 1 indexed citations
12.
Halani, Sameer H., Safoora Yousefi, Michael R. Rossi, et al.. (2018). Multi-faceted computational assessment of risk and progression in oligodendroglioma implicates NOTCH and PI3K pathways. npj Precision Oncology. 2(1). 24–24. 28 indexed citations
13.
Yousefi, Safoora, Fatemeh Amrollahi, Mohamed Amgad, et al.. (2017). Predicting clinical outcomes from large scale cancer genomic profiles with deep survival models. Scientific Reports. 7(1). 11707–11707. 143 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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