Richard C. Kiefer

810 total citations
33 papers, 367 citations indexed

About

Richard C. Kiefer is a scholar working on Molecular Biology, Artificial Intelligence and Health Information Management. According to data from OpenAlex, Richard C. Kiefer has authored 33 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 18 papers in Artificial Intelligence and 8 papers in Health Information Management. Recurrent topics in Richard C. Kiefer's work include Biomedical Text Mining and Ontologies (20 papers), Semantic Web and Ontologies (10 papers) and Machine Learning in Healthcare (7 papers). Richard C. Kiefer is often cited by papers focused on Biomedical Text Mining and Ontologies (20 papers), Semantic Web and Ontologies (10 papers) and Machine Learning in Healthcare (7 papers). Richard C. Kiefer collaborates with scholars based in United States, Australia and France. Richard C. Kiefer's co-authors include Jyotishman Pathak, Christopher G. Chute, Guoqian Jiang, Luke V. Rasmussen, Jennifer A. Pacheco, Zhenxing Xu, Yuan Luo, Prakash Adekkanattu, Suzette J. Bielinski and Jessica S. Ancker and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

In The Last Decade

Richard C. Kiefer

32 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard C. Kiefer United States 13 176 161 109 41 41 33 367
Miroslav Marinov Bulgaria 6 201 1.1× 72 0.4× 198 1.8× 37 0.9× 23 0.6× 19 487
Rimma Pivovarov United States 9 401 2.3× 336 2.1× 167 1.5× 59 1.4× 27 0.7× 14 676
Evan Minty Canada 9 113 0.6× 69 0.4× 62 0.6× 33 0.8× 22 0.5× 21 296
John Kilbourne United States 6 124 0.7× 193 1.2× 101 0.9× 40 1.0× 23 0.6× 10 386
R. Li China 3 129 0.7× 122 0.8× 81 0.7× 44 1.1× 39 1.0× 4 297
Yikuan Li United States 11 315 1.8× 76 0.5× 82 0.8× 67 1.6× 24 0.6× 21 606
Noah Weston United States 3 115 0.7× 145 0.9× 89 0.8× 43 1.0× 47 1.1× 4 342
Kelly Zeng United States 7 130 0.7× 193 1.2× 84 0.8× 38 0.9× 20 0.5× 12 383
Vijaya Choudhary India 4 133 0.8× 117 0.7× 81 0.7× 44 1.1× 39 1.0× 11 310
Preethi Raghavan United States 10 404 2.3× 236 1.5× 119 1.1× 54 1.3× 30 0.7× 25 585

Countries citing papers authored by Richard C. Kiefer

Since Specialization
Citations

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

Fields of papers citing papers by Richard C. Kiefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard C. Kiefer. 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 Richard C. Kiefer. The network helps show where Richard C. Kiefer may publish in the future.

Co-authorship network of co-authors of Richard C. Kiefer

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

All Works

20 of 20 papers shown
1.
Xu, Zhenxing, Fei Wang, Judith Cukor, et al.. (2023). Using Machine Learning to Predict Antidepressant Treatment Outcome From Electronic Health Records. SHILAP Revista de lepidopterología. 5(4). 118–125. 8 indexed citations
2.
Xu, Zhenxing, Yuan Luo, Tamara Isakova, et al.. (2020). Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks. Journal of Biomedical Informatics. 102. 103361–103361. 51 indexed citations
3.
Xu, Jie, Fei Wang, Zhenxing Xu, et al.. (2020). Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records. Learning Health Systems. 4(4). e10246–e10246. 22 indexed citations
4.
Xu, Zhenxing, Yuan Luo, Prakash Adekkanattu, et al.. (2019). Stratified Mortality Prediction of Patients with Acute Kidney Injury in Critical Care. Studies in health technology and informatics. 264. 462–466. 12 indexed citations
5.
Xu, Zhenxing, Yun Li, Anand Srivastava, et al.. (2019). Predictive Modeling of the Risk of Acute Kidney Injury in Critical Care: A Systematic Investigation of The Class Imbalance Problem.. PubMed. 2019. 809–818. 12 indexed citations
6.
Jiang, Guoqian, Guohui Xiao, Richard C. Kiefer, Eric Prud’hommeaux, & Harold R. Solbrig. (2017). Building an FHIR Ontology based Data Access Framework with the OHDSI Data Repositories.. View. 2 indexed citations
7.
Jiang, Guoqian, Richard C. Kiefer, Eric Prud’hommeaux, & Harold R. Solbrig. (2017). Building Interoperable FHIR-Based Vocabulary Mapping Services: A Case Study of OHDSI Vocabularies and Mappings. Studies in health technology and informatics. 245. 1327–1327. 6 indexed citations
8.
Jiang, Guoqian, Richard C. Kiefer, Luke V. Rasmussen, et al.. (2016). Developing a data element repository to support EHR-driven phenotype algorithm authoring and execution. Journal of Biomedical Informatics. 62. 232–242. 14 indexed citations
9.
Min, Hua, Stuart Turner, Sherri de Coronado, et al.. (2016). Towards a standard ontology metadata model. The Mouseion at the JAXlibrary (Jackson Laboratory). 1747. 1 indexed citations
10.
Jiang, Guoqian, Harold R. Solbrig, Richard C. Kiefer, et al.. (2015). Harmonization of Quality Data Model with HL7 FHIR to Support EHR-driven Phenotype Authoring and Execution: A Pilot Study.. AMIA. 2 indexed citations
11.
Rasmussen, Luke V., Jie Xu, Jennifer A. Pacheco, et al.. (2014). Evaluation of Existing Phenotype Authoring Tools for Clinical Research.. AMIA. 1 indexed citations
12.
Pathak, Jyotishman, Richard C. Kiefer, & Christopher G. Chute. (2013). Mining drug-drug interaction patterns from linked data: A case study for Warfarin, Clopidogrel, and Simvastatin. 23–30. 6 indexed citations
13.
Kiefer, Richard C., Robert R. Freimuth, Christopher G. Chute, & Jyotishman Pathak. (2013). Mining Genotype-Phenotype Associations from Public Knowledge Sources via Semantic Web Querying.. PubMed. 2013. 118–22. 2 indexed citations
14.
Pathak, Jyotishman, Richard C. Kiefer, Suzette J. Bielinski, & Christopher G. Chute. (2012). Mining the human phenome using semantic web technologies: a case study for Type 2 Diabetes.. PubMed. 2012. 699–708. 10 indexed citations
15.
Pathak, Jyotishman, Richard C. Kiefer, & Christopher G. Chute. (2012). Using semantic web technologies for cohort identification from electronic health records for clinical research.. PubMed. 2012. 10–9. 22 indexed citations
16.
Pathak, Jyotishman, Richard C. Kiefer, Suzette J. Bielinski, & Christopher G. Chute. (2012). Applying semantic web technologies for phenome-wide scan using an electronic health record linked Biobank. Journal of Biomedical Semantics. 3(1). 10–10. 23 indexed citations
17.
Pathak, Jyotishman, Richard C. Kiefer, & Christopher G. Chute. (2011). The linked clinical data project. 94–95. 2 indexed citations
18.
Kristensen, Lars Michael, Jonathan Billington, Laure Petrucci, Z.H. Qureshi, & Richard C. Kiefer. (2003). Formal specification and analysis of airborne mission systems. 1. 4D4–1. 1 indexed citations
19.
Kiefer, Richard C. & David Kearney. (1999). A High Bandwidth I/O Architecture for a Reconfigurable Computer. 1 indexed citations
20.
Wenz, W., et al.. (1960). Die Ulcuschirurgie an der Chirurgischen Universit�tsklinik Heidelberg 1943?1959. Langenbeck s Archives of Surgery. 294(5). 602–626. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Miroslav Marinov Breakdown of academic impact, for papers by Rimma Pivovarov Breakdown of academic impact, for papers by Evan Minty Breakdown of academic impact, for papers by John Kilbourne Breakdown of academic impact, for papers by R. Li Breakdown of academic impact, for papers by Yikuan Li Breakdown of academic impact, for papers by Noah Weston Breakdown of academic impact, for papers by Kelly Zeng Breakdown of academic impact, for papers by Vijaya Choudhary Breakdown of academic impact, for papers by Preethi Raghavan
Rankless by CCL
2026