Ayad Shammout

2.7k total citations · 1 hit paper
2 papers, 1.1k citations indexed

About

Ayad Shammout is a scholar working on Health Information Management, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Ayad Shammout has authored 2 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Health Information Management, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Oncology. Recurrent topics in Ayad Shammout's work include COVID-19 and healthcare impacts (1 paper), Artificial Intelligence in Healthcare (1 paper) and Electronic Health Records Systems (1 paper). Ayad Shammout is often cited by papers focused on COVID-19 and healthcare impacts (1 paper), Artificial Intelligence in Healthcare (1 paper) and Electronic Health Records Systems (1 paper). Ayad Shammout collaborates with scholars based in United States and Canada. Ayad Shammout's co-authors include Steven Horng, Brian Gow, Leo Anthony Celi, Lucas Bulgarelli, Alistair E. W. Johnson, Tom Pollard, Li-wei H. Lehman, Benjamin Moody, Sicheng Hao and Roger G. Mark and has published in prestigious journals such as JAMA Network Open and Scientific Data.

In The Last Decade

Ayad Shammout

2 papers receiving 1.1k citations

Hit Papers

MIMIC-IV, a freely accessible electronic health record da... 2023 2026 2024 2025 2023 250 500 750 1000

Peers

Ayad Shammout
Sicheng Hao United States
Lucas Bulgarelli United States
Jesse D. Raffa United States
Andre L. Holder United States
Patrick Thoral Netherlands
Jana Hoffman United States
Gabriel Wardi United States
Joonghee Kim South Korea
Lucinda Archer United Kingdom
Sicheng Hao United States
Ayad Shammout
Citations per year, relative to Ayad Shammout Ayad Shammout (= 1×) peers Sicheng Hao

Countries citing papers authored by Ayad Shammout

Since Specialization
Citations

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

Fields of papers citing papers by Ayad Shammout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayad Shammout

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

All Works

2 of 2 papers shown
1.
Johnson, Alistair E. W., Lucas Bulgarelli, Ayad Shammout, et al.. (2023). MIMIC-IV, a freely accessible electronic health record dataset. Scientific Data. 10(1). 1–1. 1072 indexed citations breakdown →
2.
Horng, Steven, Ashley L. O’Donoghue, Tenzin Dechen, et al.. (2021). Secondary Use of COVID-19 Symptom Incidence Among Hospital Employees as an Example of Syndromic Surveillance of Hospital Admissions Within 7 Days. JAMA Network Open. 4(6). e2113782–e2113782. 2 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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2026