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.
Types of Unintended Consequences Related to Computerized Provider Order Entry
2006593 citationsEmily M. Campbell, Dean F. Sittig et al.Journal of the American Medical Informatics Associationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Ken Guappone'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 Ken Guappone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Guappone more than expected).
This network shows the impact of papers produced by Ken Guappone. 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 Ken Guappone. The network helps show where Ken Guappone may publish in the future.
Co-authorship network of co-authors of Ken Guappone
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Guappone.
A scholar is included among the top collaborators of Ken Guappone 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 Ken Guappone. Ken Guappone is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Richardson, Joshua E., Joan S. Ash, Dean F. Sittig, et al.. (2010). Multiple perspectives on the meaning of clinical decision support.. PubMed. 2010. 1427–31.21 indexed citations
4.
Dykstra, Richard H., Joan S. Ash, Emily Campbell, et al.. (2009). Persistent paper: the myth of "going paperless".. PubMed. 2009. 158–62.14 indexed citations
5.
Sittig, Dean F., Ken Guappone, Emily M. Campbell, Richard H. Dykstra, & Joan S. Ash. (2007). A survey of U.S.A. acute care hospitals' computer-based provider order entry system infusion levels.. PubMed. 129(Pt 1). 252–6.12 indexed citations
Sittig, Dean F., Emily M. Campbell, Ken Guappone, Richard H. Dykstra, & Joan S. Ash. (2007). Recommendations for monitoring and evaluation of in-patient Computer-based Provider Order Entry systems: results of a Delphi survey.. PubMed. 671–5.17 indexed citations
10.
Ash, Joan S., Dean F. Sittig, Richard H. Dykstra, Emily M. Campbell, & Ken Guappone. (2007). Exploring the unintended consequences of computerized physician order entry.. PubMed. 129(Pt 1). 198–202.27 indexed citations
11.
Campbell, Emily M., Dean F. Sittig, Joan S. Ash, Ken Guappone, & Richard H. Dykstra. (2006). Types of Unintended Consequences Related to Computerized Provider Order Entry. Journal of the American Medical Informatics Association. 13(5). 547–556.593 indexed citations breakdown →
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.