Darcy Davis

1.3k total citations
15 papers, 859 citations indexed

About

Darcy Davis is a scholar working on Artificial Intelligence, Molecular Biology and Health Information Management. According to data from OpenAlex, Darcy Davis has authored 15 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Molecular Biology and 4 papers in Health Information Management. Recurrent topics in Darcy Davis's work include Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare (4 papers) and Chronic Disease Management Strategies (4 papers). Darcy Davis is often cited by papers focused on Machine Learning in Healthcare (6 papers), Artificial Intelligence in Healthcare (4 papers) and Chronic Disease Management Strategies (4 papers). Darcy Davis collaborates with scholars based in United States and China. Darcy Davis's co-authors include Nitesh V. Chawla, Ryan N. Lichtenwalter, Nicholas A. Christakis, Albert-Ĺaszló Barabási, Nicholas Blumm, James E. Gray, DeWayne M. Pursley, Alon Geva, Rishi Sikka and Jing Li and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Journal of Neurochemistry.

In The Last Decade

Darcy Davis

15 papers receiving 823 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Darcy Davis United States	13	330	211	155	127	127	15	859
Vijay Mago Canada	15	465 1.4×	90 0.4×	45 0.3×	87 0.7×	43 0.3×	89	992
Taowei David Wang United States	8	203 0.6×	93 0.4×	124 0.8×	63 0.5×	27 0.2×	9	645
Javed Mostafa United States	19	601 1.8×	86 0.4×	350 2.3×	392 3.1×	46 0.4×	112	1.3k
Carsten Eickhoff United States	20	710 2.2×	66 0.3×	107 0.7×	361 2.8×	48 0.4×	117	1.8k
Syed Sibte Raza Abidi Canada	17	454 1.4×	264 1.3×	265 1.7×	171 1.3×	12 0.1×	165	1.4k
Juan M. Banda United States	18	568 1.7×	193 0.9×	296 1.9×	84 0.7×	19 0.1×	62	1.5k
Piotr Bródka Poland	15	195 0.6×	64 0.3×	75 0.5×	86 0.7×	332 2.6×	52	794
Stephanie W. Haas United States	14	245 0.7×	58 0.3×	92 0.6×	176 1.4×	32 0.3×	58	596
Shelly Sachdeva India	13	216 0.7×	83 0.4×	34 0.2×	120 0.9×	64 0.5×	64	532

Countries citing papers authored by Darcy Davis

Since Specialization

Citations

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

Fields of papers citing papers by Darcy Davis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darcy Davis

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

All Works

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15 of 15 papers shown

Wang, Lei, et al.. (2020). The application of unsupervised deep learning in predictive models using electronic health records. BMC Medical Research Methodology. 20(1). 37–37. 17 indexed citations

Anday, Endla K., et al.. (2016). Prevention of unplanned extubations in neonates through process standardization. Journal of Perinatology. 36(6). 469–473. 27 indexed citations

Feldman, Keith, Darcy Davis, & Nitesh V. Chawla. (2015). Scaling and contextualizing personalized healthcare: A case study of disease prediction algorithm integration. Journal of Biomedical Informatics. 57. 377–385. 17 indexed citations

Li, Jing, et al.. (2013). A Public-Private Partnership Develops and Externally Validates a 30-Day Hospital Readmission Risk Prediction Model. Online Journal of Public Health Informatics. 5(2). 219–219. 48 indexed citations

Chawla, Nitesh V. & Darcy Davis. (2013). Bringing Big Data to Personalized Healthcare: A Patient-Centered Framework. Journal of General Internal Medicine. 28(S3). 660–665. 289 indexed citations

Haines, Bryan A., Darcy Davis, Artem Zykovich, et al.. (2012). Comparative protein interactomics of neuroglobin and myoglobin. Journal of Neurochemistry. 123(1). 192–198. 12 indexed citations

Davis, Darcy, Ryan N. Lichtenwalter, & Nitesh V. Chawla. (2012). Supervised methods for multi-relational link prediction. Social Network Analysis and Mining. 3(2). 127–141. 50 indexed citations

Davis, Darcy & Nitesh V. Chawla. (2011). Exploring and Exploiting Disease Interactions from Multi-Relational Gene and Phenotype Networks. PLoS ONE. 6(7). e22670–e22670. 55 indexed citations

Davis, Darcy, Ryan N. Lichtenwalter, & Nitesh V. Chawla. (2011). Multi-relational Link Prediction in Heterogeneous Information Networks. 281–288. 85 indexed citations

10.

Gray, James E., et al.. (2010). Network Analysis of Team Structure in the Neonatal Intensive Care Unit. PEDIATRICS. 125(6). e1460–e1467. 54 indexed citations

11.

Davis, Darcy, et al.. (2010). HealthCareND. 841–844. 1 indexed citations

12.

Davis, Darcy, Nitesh V. Chawla, Nicholas A. Christakis, & Albert-Ĺaszló Barabási. (2009). Time to CARE: a collaborative engine for practical disease prediction. Data Mining and Knowledge Discovery. 20(3). 388–415. 105 indexed citations

13.

Davis, Darcy, Nitesh V. Chawla, Nicholas Blumm, Nicholas A. Christakis, & Albert-Ĺaszló Barabási. (2008). Predicting individual disease risk based on medical history. Figshare. 769–778. 73 indexed citations

14.

Davis, Darcy, et al.. (2006). Experiences using a collaborative electronic textbook. 339–343. 19 indexed citations

15.

Davis, Darcy, et al.. (2006). Experiences using a collaborative electronic textbook. ACM SIGCSE Bulletin. 38(1). 339–343. 7 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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