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.
Australia’s continental-scale acoustic tracking database and its automated quality control process
2018237 citationsXavier Hoenner, Charlie Huveneers et al.Scientific Dataprofile →
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 Roger Proctor'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 Roger Proctor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Proctor more than expected).
This network shows the impact of papers produced by Roger Proctor. 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 Roger Proctor. The network helps show where Roger Proctor may publish in the future.
Co-authorship network of co-authors of Roger Proctor
This figure shows the co-authorship network connecting the top 25 collaborators of Roger Proctor.
A scholar is included among the top collaborators of Roger Proctor 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 Roger Proctor. Roger Proctor is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Hidas, M. G., et al.. (2018). Automated data ingestion for the Australian Ocean Data Network. eCite Digital Repository (University of Tasmania).1 indexed citations
2.
Proctor, Roger, Tim Langlois, Ariell Friedman, et al.. (2018). Cloud-based national on-line services to annotate and analyse underwater imagery. eCite Digital Repository (University of Tasmania).4 indexed citations
3.
Hoenner, Xavier, Charlie Huveneers, Andre Steckenreuter, et al.. (2018). Australia’s continental-scale acoustic tracking database and its automated quality control process. Scientific Data. 5(1). 170206–170206.237 indexed citations breakdown →
Glaves, Helen, Dick Schaap, R. A. Arko, & Roger Proctor. (2014). Ocean Data Interoperability Platform (ODIP): supporting the development of a common global framework for marine data management through international collaboration. EGU General Assembly Conference Abstracts. 14366.3 indexed citations
7.
Glaves, Helen, et al.. (2013). Ocean Data Interoperability Platform (ODIP): developing a common framework for marine data management on a global scale. eCite Digital Repository (University of Tasmania).1 indexed citations
8.
D’Addario, Larry R., et al.. (2009). Uplink Array Demonstration with Ground-Based Calibration. 1–69.3 indexed citations
9.
Souza, Alejandro J., Jason Holt, & Roger Proctor. (2007). Modelling SPM on the NW European shelf seas. Geological Society London Special Publications. 274(1). 147–158.16 indexed citations
Proctor, Roger, Jason Holt, J R Harris, Alan D. Tappin, & David Boorman. (2000). Modelling the Humber Estuary Catchment and Coastal Zone. Estuarine and Coastal Modeling. 1259–1274.6 indexed citations
Huthnance, John M., J. Icarus Allen, I.D. James, et al.. (1993). Towards water quality models. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 343(1669). 569–584.17 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.