Dario A. Giuse

2.6k total citations
79 papers, 1.7k citations indexed

About

Dario A. Giuse is a scholar working on Health Information Management, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Dario A. Giuse has authored 79 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Health Information Management, 22 papers in Molecular Biology and 20 papers in Artificial Intelligence. Recurrent topics in Dario A. Giuse's work include Electronic Health Records Systems (27 papers), Biomedical Text Mining and Ontologies (22 papers) and Health Sciences Research and Education (13 papers). Dario A. Giuse is often cited by papers focused on Electronic Health Records Systems (27 papers), Biomedical Text Mining and Ontologies (22 papers) and Health Sciences Research and Education (13 papers). Dario A. Giuse collaborates with scholars based in United States, Germany and South Korea. Dario A. Giuse's co-authors include Klaus A. Kuhn, Brad A. Myers, Randolph A. Miller, Brad Vander Zanden, S. Trent Rosenbloom, Nunzia Bettinsoli Giuse, Andrew Mickish, David S. Kosbie, Roger B. Dannenberg and Joshua C. Denny and has published in prestigious journals such as Annals of Internal Medicine, PLoS ONE and Critical Care Medicine.

In The Last Decade

Dario A. Giuse

74 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dario A. Giuse United States	23	534	460	369	314	161	79	1.7k
Michael G. Kahn United States	33	880 1.6×	678 1.5×	455 1.2×	443 1.4×	200 1.2×	134	3.4k
Albert M. Lai United States	23	342 0.6×	537 1.2×	355 1.0×	407 1.3×	134 0.8×	81	2.1k
Sooyoung Yoo South Korea	23	317 0.6×	268 0.6×	136 0.4×	348 1.1×	137 0.9×	127	1.8k
Klaus A. Kuhn Germany	29	433 0.8×	534 1.2×	318 0.9×	159 0.5×	173 1.1×	110	2.1k
John H. Gennari United States	27	458 0.9×	977 2.1×	1.0k 2.7×	122 0.4×	326 2.0×	97	2.5k
Leila Shahmoradi Iran	23	463 0.9×	511 1.1×	101 0.3×	195 0.6×	206 1.3×	122	2.1k
Arie Hasman Netherlands	31	1.2k 2.3×	444 1.0×	634 1.7×	614 2.0×	162 1.0×	229	3.5k
Petra Knaup Germany	18	687 1.3×	239 0.5×	436 1.2×	339 1.1×	117 0.7×	118	1.4k
Peter Tarczy‐Hornoch United States	32	555 1.0×	341 0.7×	706 1.9×	364 1.2×	212 1.3×	111	2.5k
Jack W. Smith United States	17	351 0.7×	874 1.9×	207 0.6×	133 0.4×	183 1.1×	78	1.8k

Countries citing papers authored by Dario A. Giuse

Since Specialization

Citations

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

Fields of papers citing papers by Dario A. Giuse

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dario A. Giuse. 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 Dario A. Giuse. The network helps show where Dario A. Giuse may publish in the future.

Co-authorship network of co-authors of Dario A. Giuse

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

Koonce, Taneya Y., et al.. (2024). Using a Natural Language Processing Approach to Support Rapid Knowledge Acquisition. JMIR Medical Informatics. 12. e53516–e53516. 1 indexed citations

Umeukeje, Ebele M., Taneya Y. Koonce, Sheila V. Kusnoor, et al.. (2022). Systematic review of international studies evaluating MDRD and CKD-EPI estimated glomerular filtration rate (eGFR) equations in Black adults. PLoS ONE. 17(10). e0276252–e0276252. 10 indexed citations

Koonce, Taneya Y., et al.. (2020). SPI-Hub™: a gateway to scholarly publishing information. Journal of the Medical Library Association JMLA. 108(2). 286–294. 2 indexed citations

Giuse, Dario A., et al.. (2016). Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems.. PubMed. 2016. 504–513. 3 indexed citations

Wu, Yonghui, Joshua C. Denny, S. Trent Rosenbloom, et al.. (2015). A Preliminary Study of Clinical Abbreviation Disambiguation in Real Time. Applied Clinical Informatics. 6(2). 364–374. 16 indexed citations

Patel, Neal, et al.. (2014). Code status and resuscitation options in the electronic health record. Resuscitation. 87. 14–20. 27 indexed citations

Koonce, Taneya Y., Nila A Sathe, Dario A. Giuse, & Jim Jirjis. (2008). Synthesis of informatics literature to support institutional policy statement development. Journal of the Medical Library Association JMLA. 96(1). 3–11. 1 indexed citations

Weinberg, Stuart T., et al.. (2006). The Outpatient Clinic Whiteboard – Integrating Existing Scheduling and EMR Systems to Enhance Clinic Workflows. PubMed Central. 2006. 1197–1197.

Bott, Oliver J., et al.. (2006). Section 3: Health Information Systems: Expanding the Scope of Health Information Systems. Yearbook of Medical Informatics. 15(1). 43–52. 2 indexed citations

10.

Williams, Annette M., et al.. (2004). Using knowledge management practices to develop a state-of-the-art digital library.. PubMed. 107(Pt 1). 99–103. 5 indexed citations

11.

Neilson, Eric G., Kevin B. Johnson, S. Trent Rosenbloom, et al.. (2004). The Impact of Peer Management on Test-Ordering Behavior. Annals of Internal Medicine. 141(3). 196–204. 121 indexed citations

12.

Giuse, Dario A.. (2003). Health information systems challenges: the Heidelberg conference and the future. International Journal of Medical Informatics. 69(2-3). 105–114. 61 indexed citations

13.

Giuse, Dario A. & Klaus A. Kuhn. (2001). From Hospital Information Systems to Health Information Systems - Problems, Challenges, Perspectives. Yearbook of Medical Informatics. 10(1). 63–76. 105 indexed citations

14.

Sanders, David L., et al.. (2001). Supporting Longitudinal Care for Transplant Patients with an External Laboratory Data Entry Application.. Europe PMC (PubMed Central). 1021–1021. 3 indexed citations

15.

Giuse, Dario A., et al.. (1998). The Vanderbilt Patient-Care Information System.. Europe PMC (PubMed Central). 1121–1121. 1 indexed citations

16.

Giuse, Nunzia Bettinsoli, et al.. (1997). Preparing Librarians to Meet the Challenges of Today's Health Care Environment. Journal of the American Medical Informatics Association. 4(1). 57–67. 35 indexed citations

17.

Giuse, Dario A., Nunzia Bettinsoli Giuse, & Randolph A. Miller. (1993). Knowledge Base Editing with QMR-KAT. PubMed Central. 935–935. 1 indexed citations

18.

Giuse, Dario A., Nunzia Bettinsoli Giuse, Richard Bankowitz, & Randolph A. Miller. (1991). Heuristic determination of quantitative data for knowledge acquisition in medicine. Computers and Biomedical Research. 24(3). 261–272. 8 indexed citations

19.

Giuse, Nunzia Bettinsoli, et al.. (1989). Medical Knowledge Base Acquisition: The Role of the Expert Review Process in Disease Profile Construction. PubMed Central. 105–109. 9 indexed citations

20.

Giuse, Nunzia Bettinsoli, Dario A. Giuse, & Randolph A. Miller. (1988). Computer Assisted Multi-Center Creation of Medical Knowledge Bases. PubMed Central. 583–590. 8 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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