Carly Eckert

1.0k total citations
19 papers, 583 citations indexed

About

Carly Eckert is a scholar working on Health Informatics, Artificial Intelligence and Surgery. According to data from OpenAlex, Carly Eckert has authored 19 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Health Informatics, 6 papers in Artificial Intelligence and 2 papers in Surgery. Recurrent topics in Carly Eckert's work include Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Carly Eckert is often cited by papers focused on Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare and Education (6 papers) and Explainable Artificial Intelligence (XAI) (4 papers). Carly Eckert collaborates with scholars based in United States, Japan and United Kingdom. Carly Eckert's co-authors include Muhammad Aurangzeb Ahmad, Ankur Teredesai, Sverre Vedal, Joel D. Kaufman, Kipruto Kirwa, Anjum Hajat, Daniel Lammers, Matthew J. Eckert, Jason Bingham and Vikas Kumar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Developmental Biology and MMWR Morbidity and Mortality Weekly Report.

In The Last Decade

Carly Eckert

18 papers receiving 553 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carly Eckert United States 9 278 117 100 67 43 19 583
Artuur Leeuwenberg Netherlands 8 275 1.0× 123 1.1× 58 0.6× 77 1.1× 54 1.3× 23 579
Yilin Ning Singapore 17 230 0.8× 150 1.3× 89 0.9× 104 1.6× 117 2.7× 58 822
Hanyin Wang United States 11 272 1.0× 98 0.8× 72 0.7× 110 1.6× 63 1.5× 23 602
Yikuan Li United States 11 315 1.1× 110 0.9× 82 0.8× 123 1.8× 67 1.6× 21 606
Honghan Wu United Kingdom 18 528 1.9× 104 0.9× 159 1.6× 87 1.3× 125 2.9× 77 1.1k
David C. Kale United States 11 467 1.7× 261 2.2× 179 1.8× 130 1.9× 103 2.4× 16 943
Xing He United States 12 369 1.3× 49 0.4× 45 0.5× 48 0.7× 45 1.0× 46 792
Shuang Di Canada 7 143 0.5× 71 0.6× 48 0.5× 61 0.9× 78 1.8× 12 442
Inga Strümke Norway 9 271 1.0× 144 1.2× 56 0.6× 168 2.5× 42 1.0× 35 892
Girmaw Abebe Tadesse United States 9 166 0.6× 65 0.6× 37 0.4× 55 0.8× 22 0.5× 38 564

Countries citing papers authored by Carly Eckert

Since Specialization
Citations

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

Fields of papers citing papers by Carly Eckert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carly Eckert

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

All Works

19 of 19 papers shown
1.
Ahmad, Muhammad Aurangzeb & Carly Eckert. (2023). Show Your Work. Surgical Clinics of North America. 103(2). e1–e11. 3 indexed citations
2.
Eckert, Carly. (2023). Beyond the Spreadsheet. Surgical Clinics of North America. 103(2). 335–346. 2 indexed citations
3.
Lammers, Daniel, Carly Eckert, Muhammad Aurangzeb Ahmad, Jason Bingham, & Matthew J. Eckert. (2021). A Surgeon’s Guide to Machine Learning. SHILAP Revista de lepidopterología. 2(3). e091–e091. 11 indexed citations
4.
Ahmad, Muhammad Aurangzeb, et al.. (2021). Fairness in Healthcare AI. 554–555. 3 indexed citations
5.
Ahmad, Muhammad Aurangzeb, et al.. (2021). Software as a Medical Device. 4023–4024. 10 indexed citations
6.
Kirwa, Kipruto, Carly Eckert, Sverre Vedal, Anjum Hajat, & Joel D. Kaufman. (2021). Ambient air pollution and risk of respiratory infection among adults: evidence from the multiethnic study of atherosclerosis (MESA). BMJ Open Respiratory Research. 8(1). e000866–e000866. 25 indexed citations
7.
Ahmad, Muhammad Aurangzeb, Ankur Teredesai, & Carly Eckert. (2020). Fairness, accountability, transparency in AI at scale. University of Washington Tacoma Digital Commons (University of Washington Tacoma). 690–690. 15 indexed citations
8.
Ahmad, Muhammad Aurangzeb, et al.. (2020). Fairness in Machine Learning for Healthcare. University of Washington Tacoma Digital Commons (University of Washington Tacoma). 3529–3530. 45 indexed citations
9.
Ahmad, Muhammad Aurangzeb, Carly Eckert, & Ankur Teredesai. (2019). The Challenge of Imputation in Explainable Artificial Intelligence Models. International Joint Conference on Artificial Intelligence. 1 indexed citations
10.
S., Woo, Daniel Lammers, Matthew J. Eckert, et al.. (2019). Big problems in little patients: Nationwide blunt cerebrovascular injury outcomes in the pediatric population. The Journal of Trauma: Injury, Infection, and Critical Care. 87(5). 1088–1095. 8 indexed citations
11.
Eckert, Carly, et al.. (2019). Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital. Applied Clinical Informatics. 10(2). 316–325. 12 indexed citations
12.
Ahmad, Muhammad Aurangzeb, Ankur Teredesai, & Carly Eckert. (2018). Interpretable Machine Learning in Healthcare. 447–447. 135 indexed citations
13.
Ahmad, Muhammad, et al.. (2018). Death vs. Data Science: Predicting End of Life. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 3 indexed citations
14.
Ahmad, Muhammad Aurangzeb, Carly Eckert, & Ankur Teredesai. (2018). Interpretable Machine Learning in Healthcare. 559–560. 280 indexed citations
15.
Zolfaghar, Kiyana, et al.. (2018). 12 Predicting Patients at Risk for Leaving Without Being Seen Using Machine Learning. Annals of Emergency Medicine. 72(4). S5–S6. 3 indexed citations
16.
17.
Eckert, Carly, et al.. (2018). Chronic Health Risks in Commercial Fishermen: A Cross-Sectional Analysis from a Small Rural Fishing Village in Alaska. Journal of Agromedicine. 23(2). 176–185. 19 indexed citations
18.
Reeb-Whitaker, Carolyn, Carly Eckert, Naomi Anderson, & David K. Bonauto. (2015). Occupational Hydrofluoric Acid Injury from Car and Truck Washing — Washington State, 2001–2013. MMWR Morbidity and Mortality Weekly Report. 64(32). 874–877. 5 indexed citations
19.
Tautz, Diethard, et al.. (1999). Evolution of insect segmentation.. Developmental Biology. 210(1). 243–243. 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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2026