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.
Using Multivariate Statistics
20151.0k citationsScott Highhouse, Dennis Doverspike et al.profile →
Validity Of Personality Measures In Personnel Selection
1965339 citationsRobert M. Guion et al.Personnel Psychologyprofile →
Peers
Robert M. Guion
Comparison fields: 5 of 178
Organizational Behavior and Human Resource Management967
Countries citing papers authored by Robert M. Guion
Since
Specialization
Citations
This map shows the geographic impact of Robert M. Guion'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 Robert M. Guion with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. Guion more than expected).
This network shows the impact of papers produced by Robert M. Guion. 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 Robert M. Guion. The network helps show where Robert M. Guion may publish in the future.
Co-authorship network of co-authors of Robert M. Guion
This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Guion.
A scholar is included among the top collaborators of Robert M. Guion 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 Robert M. Guion. Robert M. Guion is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
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.