Richard C. Kiefer

810 citations
33 papers · 367 indexed · h-index 13

Richard C. Kiefer

32 papers receiving 362 citations

Peers

Richard C. Kiefer
Comparison fields: 5 of 84
  • Health Information Management 109
  • Health Informatics 9
  • Artificial Intelligence 176
  • Nephrology 27
  • Information Systems and Management 19
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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

The 25 scholars most cited alongside Richard C. Kiefer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Richard C. Kiefer Line = papers co-authored together Richard C. Kiefer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 202051
3 202022
4 201912
5
Building an FHIR Ontology based Data Access Framework with the OHDSI Data Repositories.
20172
6 20176
7 201614
8
Towards a standard ontology metadata model
20161
9
Harmonization of Quality Data Model with HL7 FHIR to Support EHR-driven Phenotype Authoring and Execution: A Pilot Study.
20152
10
Evaluation of Existing Phenotype Authoring Tools for Clinical Research.
20141
11
Mining Genotype-Phenotype Associations from Public Knowledge Sources via Semantic Web Querying.
20132
12 20136
13
Using linked data for mining drug-drug interactions in electronic health records.
201323
14 201223
15
Using semantic web technologies for cohort identification from electronic health records for clinical research.
201222
16
Mining the human phenome using semantic web technologies: a case study for Type 2 Diabetes.
201210
17 20112
18
A High Bandwidth I/O Architecture for a Reconfigurable Computer
19991
19 19603
20
[Ulcer surgery at the Chirurgische Universitaetsklinik Heidelberg, 1943-1959].
19602

About Richard C. Kiefer

Richard C. Kiefer is a scholar working on Health Information Management, Information Systems and Management and Artificial Intelligence, having authored 33 papers that have together received 367 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (20 papers), Semantic Web and Ontologies (10 papers), Machine Learning in Healthcare (7 papers), Electronic Health Records Systems (7 papers), Scientific Computing and Data Management (4 papers), Clinical practice guidelines implementation (3 papers), Data Quality and Management (3 papers) and Acute Kidney Injury Research (3 papers). The work is most often cited by research in Health Information Management (109 citations), Health Informatics (9 citations) and Artificial Intelligence (176 citations). Richard C. Kiefer has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Jyotishman Pathak, Christopher G. Chute, Guoqian Jiang, Luke V. Rasmussen, Jennifer A. Pacheco, Zhenxing Xu, Yuan Luo, Prakash Adekkanattu, Harold R. Solbrig and Suzette J. Bielinski. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Journal of Biomedical Informatics.

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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