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.
Social media engagement behaviour: a uses and gratifications perspective
2015490 citationsRebecca Dolan, Jodie Conduit et al.profile →
Social media engagement behavior
2019341 citationsRebecca Dolan, Jodie Conduit et al.profile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
citations ·
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This map shows the geographic impact of Steve Goodman'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 Steve Goodman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Goodman more than expected).
This network shows the impact of papers produced by Steve Goodman. 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 Steve Goodman. The network helps show where Steve Goodman may publish in the future.
Co-authorship network of co-authors of Steve Goodman
This figure shows the co-authorship network connecting the top 25 collaborators of Steve Goodman.
A scholar is included among the top collaborators of Steve Goodman 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 Steve Goodman. Steve Goodman is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Bradshaw, Catherine P., Steve Goodman, & Sarah Lindstrom Johnson. (2021). Leveraging findings on the cost of positive behavioral interventions and supports to inform decision making by leaders in special education programming. 34(1). 47–56.1 indexed citations
Goodman, Steve & Hank Bohanon. (2018). A Framework for Supporting All Students: One-Size-Fits-All No Longer Works in Schools. Loyola eCommons (Loyola University Chicago).3 indexed citations
Forbes, Sharon L., Steve Goodman, & Rebecca Dolan. (2015). Use of social media in the Australian and New Zealand wine industries. Lincoln University Research Archive (Lincoln University).5 indexed citations
12.
Goodman, Steve, et al.. (2011). The servicescape response: do brand committed consumers respond differently to the cellar door experience?. Adelaide Research & Scholarship (AR&S) (University of Adelaide). 1–9.6 indexed citations
13.
McIntosh, Kent, Steve Goodman, & Hank Bohanon. (2010). Toward True Integration of Academic and Behavior Response to Intervention Systems: Part One--Tier 1 Support.. Communique. 39(2).11 indexed citations
14.
McIntosh, Kent, Hank Bohanon, & Steve Goodman. (2010). Toward True Integration of Response to Intervention Systems in Academic and Behavior Support: Part Two: Tier 2 Support.. Loyola eCommons (Loyola University Chicago). 39(2).1 indexed citations
Goodman, Steve, Larry Lockshin, & Eli Cohen. (2008). Influencers of consumer choice in the on-premise environment: more international comparisons. Adelaide Research & Scholarship (AR&S) (University of Adelaide).6 indexed citations
17.
Goodman, Steve, et al.. (2008). Bartleby the Scrivener, Immanence and the Resistance of Community. 8.
18.
Goodman, Steve, et al.. (2008). Complexity modelling in marketing: A look "under the hood" of the NBD. Adelaide Research & Scholarship (AR&S) (University of Adelaide).1 indexed citations
19.
Parisi, Luciana & Steve Goodman. (2004). The Affect of Nanoterror. 7.1 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.