Countries citing papers authored by Barry de Ville
Since Specialization
Citations
This map shows the geographic impact of Barry de Ville'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 Barry de Ville with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry de Ville more than expected).
This network shows the impact of papers produced by Barry de Ville. 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 Barry de Ville. The network helps show where Barry de Ville may publish in the future.
Co-authorship network of co-authors of Barry de Ville
This figure shows the co-authorship network connecting the top 25 collaborators of Barry de Ville.
A scholar is included among the top collaborators of Barry de Ville 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 Barry de Ville. Barry de Ville is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Barry de Ville is a scholar working on Management Information Systems, Information Systems and Artificial Intelligence, having authored 8 papers that have together received 692 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Big Data and Business Intelligence (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Health Information Management (22 citations), Medical Terminology (1 citation) and Artificial Intelligence (125 citations). Barry de Ville has collaborated with scholars based in United States. Frequent co-authors include David Biggs. Their work appears in journals such as Journal of Applied Statistics, Wiley Interdisciplinary Reviews Computational Statistics and CERN Document Server (European Organization for Nuclear Research).
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.