Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Countries citing papers authored by Eric Prud’hommeaux
Since
Specialization
Citations
This map shows the geographic impact of Eric Prud’hommeaux'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 Eric Prud’hommeaux with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Prud’hommeaux more than expected).
Fields of papers citing papers by Eric Prud’hommeaux
This network shows the impact of papers produced by Eric Prud’hommeaux. 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 Eric Prud’hommeaux. The network helps show where Eric Prud’hommeaux may publish in the future.
Co-authorship network of co-authors of Eric Prud’hommeaux
This figure shows the co-authorship network connecting the top 25 collaborators of Eric Prud’hommeaux.
A scholar is included among the top collaborators of Eric Prud’hommeaux 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 Eric Prud’hommeaux. Eric Prud’hommeaux is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Solbrig, Harold R., et al.. (2020). Exploring JSON-LD as an Executable Definition of FHIR RDF to Enable Semantics of FHIR Data.. AMIA.1 indexed citations
6.
Gayo, José Emilio Labra, Eric Prud’hommeaux, Iovka Boneva, & Dimitris Kontokostas. (2018). Validating RDF Data.6 indexed citations
7.
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
Solbrig, Harold R., Eric Prud’hommeaux, & Guoqian Jiang. (2017). Blending FHIR RDF and OWL. 2042.
11.
Sharma, Deepak, Harold R. Solbrig, Eric Prud’hommeaux, et al.. (2017). D2Refine: A Platform for Clinical Research Study Data Element Harmonization and Standardization.. PubMed. 2017. 259–267.4 indexed citations
12.
Jiang, Guoqian, Eric Prud’hommeaux, Guohui Xiao, & Harold R. Solbrig. (2017). Developing A Semantic Web-based Framework for Executing the Clinical Quality Language Using FHIR. View. 2042.1 indexed citations
13.
Gayo, José Emilio Labra, et al.. (2015). Towards an RDF Validation Language Based on Regular Expression Derivatives. Edinburgh Research Explorer (University of Edinburgh). 1330. 197–204.1 indexed citations
14.
Prud’hommeaux, Eric, José Emilio Labra Gayo, & Harold R. Solbrig. (2014). Shape expressions. 32–40.61 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.