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.
Indices for performance evaluation of predictive models in food microbiology
This map shows the geographic impact of T Ross'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 T Ross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Ross more than expected).
This network shows the impact of papers produced by T Ross. 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 T Ross. The network helps show where T Ross may publish in the future.
Co-authorship network of co-authors of T Ross
This figure shows the co-authorship network connecting the top 25 collaborators of T Ross.
A scholar is included among the top collaborators of T Ross 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 T Ross. T Ross is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ross, T. (2008). Exposure assessment of microbiological hazards in food. eCite Digital Repository (University of Tasmania).25 indexed citations
10.
Cameron, Alun, et al.. (2005). A risk profile of the Australian red meat industry: hazard identification. eCite Digital Repository (University of Tasmania).9 indexed citations
11.
Ababouch, Lahsen, et al.. (2004). Application of risk assessment in the fish industry - FAO Fisheries Technical Paper No 442. eCite Digital Repository (University of Tasmania).10 indexed citations
12.
Mellefont, LA, T Ross, TA McMeekin, & K Neumeyer. (2000). Induction and Manipulation of Bacterial Lag Times. eCite Digital Repository (University of Tasmania).1 indexed citations
13.
Ross, T. (1999). Assessment of a Theoretical Model for the Effects of Temperature on Bacterial Growth Rate. eCite Digital Repository (University of Tasmania).11 indexed citations
14.
Ross, T, et al.. (1999). Identifying and quantifying risks in the food production chain. eCite Digital Repository (University of Tasmania).15 indexed citations
15.
Ross, T. (1999). FAO Expert Consultation on the Trade Impact of Listeria in Fish Products. eCite Digital Repository (University of Tasmania).10 indexed citations
16.
Ross, T. (1999). Predictive Microbiology for the Meat Industry. eCite Digital Repository (University of Tasmania).20 indexed citations
17.
Ross, T, et al.. (1996). Orders to Supply as Substitutes for Commitments to Aftermarkets. RePEc: Research Papers in Economics.1 indexed citations
18.
McMeekin, TA, June Olley, & T Ross. (1993). Predictive Microbiology : Theory and Application. eCite Digital Repository (University of Tasmania).336 indexed citations
19.
Ross, T, et al.. (1991). Pattern Theory: An Engineering Paradigm for Algorithm Design. Defense Technical Information Center (DTIC).24 indexed citations
20.
Ross, T. (1980). The vegetarian diet: animal, vegetable, mineral.. PubMed. 151(2). 22–4.1 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.