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 dynamics of travel avoidance: The case of Ebola in the U.S.
2016286 citationsIgnatius Cahyanto, Michael Wiblishauser et al.Tourism Management Perspectivesprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Ashley Schroeder
Since
Specialization
Citations
This map shows the geographic impact of Ashley Schroeder'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 Ashley Schroeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashley Schroeder more than expected).
Fields of papers citing papers by Ashley Schroeder
This network shows the impact of papers produced by Ashley Schroeder. 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 Ashley Schroeder. The network helps show where Ashley Schroeder may publish in the future.
Co-authorship network of co-authors of Ashley Schroeder
This figure shows the co-authorship network connecting the top 25 collaborators of Ashley Schroeder.
A scholar is included among the top collaborators of Ashley Schroeder 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 Ashley Schroeder. Ashley Schroeder is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pennington‐Gray, Lori, et al.. (2019). A Multi-Platform Social Media Integration Approach to Disaster Communication by Tourism Organizations: The Case of Hurricane Florence. Scholarworks (University of Massachusetts Amherst).2 indexed citations
Korstanje, Maximiliano E., et al.. (2016). TOURISM IN A WORLD OF RISKS. DergiPark (Istanbul University). 4(1). 52–69.1 indexed citations
12.
Cahyanto, Ignatius, Michael Wiblishauser, Lori Pennington‐Gray, & Ashley Schroeder. (2016). The dynamics of travel avoidance: The case of Ebola in the U.S.. Tourism Management Perspectives. 20. 195–203.286 indexed citations breakdown →
13.
Schroeder, Ashley, et al.. (2016). Do Cultural Differences Influence Tourists’ Likelihood to Seek Information Via Social Media in the Event of a Crisis?. Scholarworks (University of Massachusetts Amherst).3 indexed citations
14.
Liu-Lastres, Bingjie, Ashley Schroeder, & Lori Pennington‐Gray. (2016). Empirically Testing the Influence of Travel Safety Concerns: Examining Alternative Models. Scholarworks (University of Massachusetts Amherst).5 indexed citations
15.
Cahyanto, Ignatius, et al.. (2016). The Effects of Social Media Usage on Travel Information Searching and Travel Experience Sharing. Scholarworks (University of Massachusetts Amherst).6 indexed citations
16.
Kim, Hany, Ashley Schroeder, & Lori Pennington‐Gray. (2016). Does Culture Influence Risk Perceptions?. Tourism Review International. 20(1). 11–28.37 indexed citations
17.
Pennington‐Gray, Lori & Ashley Schroeder. (2013). International tourist's perceptions of safety and security: The role of social media. SHILAP Revista de lepidopterología. 9(1). 7–20.19 indexed citations
Pennington‐Gray, Lori, Ashley Schroeder, & Kiki Kaplanidou. (2011). Examining the influence of past travel experience, general web searching behaviors, and risk perceptions on future travel intentions.. Dialnet (Universidad de la Rioja). 1(1). 64–89.21 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.