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.
This map shows the geographic impact of Tom Jackson'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 Tom Jackson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Jackson more than expected).
This network shows the impact of papers produced by Tom Jackson. 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 Tom Jackson. The network helps show where Tom Jackson may publish in the future.
Co-authorship network of co-authors of Tom Jackson
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Jackson.
A scholar is included among the top collaborators of Tom Jackson 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 Tom Jackson. Tom Jackson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jackson, Lisa, et al.. (2016). Swarm Computational Intelligence Design for a High Integrity Protection System. Loughborough University Institutional Repository (Loughborough University).1 indexed citations
8.
Sýkora, Martin, Colin Robertson, Ketan Shankardass, et al.. (2015). Stresscapes: validating linkages between place and stress expression on social media. Loughborough University Institutional Repository (Loughborough University). 80–84.8 indexed citations
Jackson, Tom & Peter Martin. (2014). Trends in the size of Australian farms. 4(3). 122.1 indexed citations
11.
Lock, Russell, Louise Cooke, & Tom Jackson. (2013). Online Social Networking, Order and Disorder. Loughborough University Institutional Repository (Loughborough University). 11(1).4 indexed citations
12.
Jackson, Tom, et al.. (2012). The role of IT in email preservation and archiving. 1–6.1 indexed citations
13.
Jackson, Tom, et al.. (2012). Emotion recognition — Theory or practicality. Queensland's institutional digital repository (The University of Queensland). 1–6.5 indexed citations
14.
Watson, P.R., et al.. (2007). The CARMEN Neuroscience Server. School of Computing Science Technical Report Series.4 indexed citations
15.
Tedmori, Sara, Tom Jackson, & Dino Bouchlaghem. (2007). Optimising the Email Knowledge Extraction System to Support Knowledge Work. Journal of the Association for Information Systems. 681–691.1 indexed citations
16.
Tedmori, Sara, et al.. (2006). Expertise Profiling - Is Email Used To Generate, Organise, Share Or Leverage Knowledge. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository).2 indexed citations
17.
Jackson, Tom. (2003). POLLEN-MEDIATED GENE FLOW AND GENETIC VARIATION WITHIN MANFREDA VIRGINICA POPULATIONS OCCURRING IN ADAMS COUNTY, OHIO. OhioLink ETD Center (Ohio Library and Information Network).1 indexed citations
18.
Jackson, Tom, Ray Dawson, & Darren Wilson. (2000). Downsizing electronic mail can optimise company communications. Loughborough University Institutional Repository (Loughborough University).
19.
Jackson, Tom & Ray Dawson. (1999). The need for computer scientists to receive training on people skills.. PPIG. 14.4 indexed citations
20.
Jackson, Tom. (1985). Bolstering Graduate School Enrollments Through Effective Use of Alumni.. College and university. 60(3).2 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.