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.
The tRNAscan-SE, snoscan and snoGPS web servers for the detection of tRNAs and snoRNAs
Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the Theoretical Domains Framework
2012895 citationsSimon French, Sally Green et al.Implementation Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Peter Schattner
Since
Specialization
Citations
This map shows the geographic impact of Peter Schattner'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 Peter Schattner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Schattner more than expected).
This network shows the impact of papers produced by Peter Schattner. 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 Peter Schattner. The network helps show where Peter Schattner may publish in the future.
Co-authorship network of co-authors of Peter Schattner
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Schattner.
A scholar is included among the top collaborators of Peter Schattner 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 Peter Schattner. Peter Schattner is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Schattner, Peter, et al.. (2015). How general practitioners manage mental illness in culturally and linguistically diverse patients: an exploratory study.. PubMed. 44(3). 147–52.6 indexed citations
Alahakoon, Damminda, et al.. (2011). Chronic disease management: a business intelligence perspective. 120. 55–62.4 indexed citations
6.
Sweeny, Kim, Michael Georgeff, Leon Piterman, et al.. (2010). CDM-Net: A Broadband Health Network for Transforming Chronic Disease Management: Final Report March 2010. Victoria University Research Repository (Victoria University).2 indexed citations
Ciechomski, Lisa, et al.. (2009). After Hours Palliative Care Provision in Rural and Urban Victoria, Australia. Asia Pacific Journal of Health Management. 4(1). 57–63.3 indexed citations
Piterman, Leon, et al.. (2000). Distance education. Part 2. Student characteristics, program characteristics, administration and future direction.. PubMed. 29 Suppl 1. 7–13.1 indexed citations
16.
Piterman, Leon, et al.. (2000). Distance education. Part 1. Conceptualization and development.. PubMed. 29 Suppl 1. 2–6.2 indexed citations
17.
Cook, Angus, et al.. (1999). The experiences of one divisional group of GPs in introducing computers into clinical practice.. PubMed. 28(9). 971–5.6 indexed citations
18.
Schattner, Peter, et al.. (1997). A survey on the diagnosis and management of asthma in young children.. PubMed. 26 Suppl 2. S71–5.3 indexed citations
19.
Schattner, Peter, et al.. (1992). Influenza surveillance in general practice.. PubMed. 21(2). 158–60.1 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.