Countries citing papers authored by Brian E. Dixon
Since
Specialization
Citations
This map shows the geographic impact of Brian E. Dixon'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 Brian E. Dixon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian E. Dixon more than expected).
This network shows the impact of papers produced by Brian E. Dixon. 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 Brian E. Dixon. The network helps show where Brian E. Dixon may publish in the future.
Co-authorship network of co-authors of Brian E. Dixon
This figure shows the co-authorship network connecting the top 25 collaborators of Brian E. Dixon.
A scholar is included among the top collaborators of Brian E. Dixon 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 Brian E. Dixon. Brian E. Dixon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dixon, Brian E., et al.. (2020). Table of Contents. 5–6.1 indexed citations
6.
Wilson, Jeffrey S., et al.. (2019). Measuring and Visualizing Chlamydia and Gonorrhea Inequality: An Informatics Approach Using Geographical Information Systems. PMC.1 indexed citations
Dixon, Brian E., et al.. (2016). Data Quality at the Indiana State Cancer Registry: An Evaluation of Timeliness by Cancer Type and Year.. PubMed. 43(4). 168–73.5 indexed citations
12.
Vest, Joshua R., Christopher A. Harle, Titus Schleyer, et al.. (2016). Getting from here to there: health IT needs for population health.. PubMed. 22(12). 827–829.9 indexed citations
Dixon, Brian E., et al.. (2015). Measuring Population Health Using Electronic Health Records: Exploring Biases and Representativeness in a Community Health Information Exchange.. PubMed. 216. 1009–1009.9 indexed citations
15.
Lai, Patrick F.H., et al.. (2015). Evaluating the Accuracy of Automated Notifiable Condition Detection in Free-Text Electronic Laboratory Report Results Using Contemporary Text Mining and Machine Learning Methods.. AMIA.1 indexed citations
16.
Dixon, Brian E., et al.. (2014). Public and Global Health Informatics Year in Review. American Medical Informatics Association Annual Symposium.1 indexed citations
17.
Dixon, Brian E., et al.. (2014). Assessing the Feasibility of Using Electronic Health Records for Community Health Assessments.. AMIA.2 indexed citations
18.
Dixon, Brian E., et al.. (2013). Variation in information needs and quality: implications for public health surveillance and biomedical informatics.. PubMed. 2013. 670–9.7 indexed citations
19.
Dixon, Brian E., et al.. (2013). Improving medication adherence for chronic disease using integrated e-technologies.. PubMed. 192. 929–929.2 indexed citations
20.
Dixon, Brian E., et al.. (2008). A health information technology glossary for novices.. PubMed. 917–917.2 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.