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.
HL7 Clinical Document Architecture, Release 2
2005504 citationsRobert H. Dolin, Liora Alschuler et al.Journal of the American Medical Informatics Associationprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Liora Alschuler
Since
Specialization
Citations
This map shows the geographic impact of Liora Alschuler'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 Liora Alschuler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liora Alschuler more than expected).
This network shows the impact of papers produced by Liora Alschuler. 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 Liora Alschuler. The network helps show where Liora Alschuler may publish in the future.
Co-authorship network of co-authors of Liora Alschuler
This figure shows the co-authorship network connecting the top 25 collaborators of Liora Alschuler.
A scholar is included among the top collaborators of Liora Alschuler 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 Liora Alschuler. Liora Alschuler is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dolin, Robert H., et al.. (2014). Setting the Standard: EHR Quality Reporting Rises in Prominence Due to Meaningful Use. 85(1). 42–48.2 indexed citations
Dolin, Robert H., Liora Alschuler, Calvin E Beebe, et al.. (2005). HL7 Clinical Document Architecture, Release 2. Journal of the American Medical Informatics Association. 13(1). 30–39.504 indexed citations breakdown →
10.
Dolin, Robert H., Liora Alschuler, Calvin E Beebe, et al.. (2001). The HL7 Clinical Document Architecture. Journal of the American Medical Informatics Association. 8(6). 552–569.298 indexed citations
11.
Dolin, Robert H., et al.. (2001). The creation of an ontology of clinical document names.. PubMed. 84(Pt 1). 94–8.17 indexed citations
12.
Dolin, Robert H., et al.. (2000). An update on HL7's XML-based document representation standards.. PubMed. 190–4.28 indexed citations
13.
Dolin, Robert H., Liora Alschuler, Fred M. Behlen, et al.. (1999). HL7 document patient record architecture: an XML document architecture based on a shared information model.. PubMed. 52–6.36 indexed citations
14.
Alschuler, Liora, et al.. (1999). Clinical practice guidelines on the Internet. A structured, scalable approach.. PubMed. 16(2). 60–4.5 indexed citations
Alschuler, Liora. (1997). First do no harm: a standard for electronic communication in healthcare.. PubMed. 45. 141–7.3 indexed citations
17.
Alschuler, Liora, et al.. (1997). SGML as a message interchange format in healthcare.. PubMed. 635–9.15 indexed citations
18.
Alschuler, Liora. (1989). Hand-crafted hypertext-lessons from the ACM experiment. ACM Conference on Hypertext. 343–361.14 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.