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.
A Comparison of Approaches to Forming Composite Measures in Structural Equation Models
2000986 citationsRonald S. Landis, Daniel J. Beal et al.Organizational Research Methodsprofile →
Cohesion and Performance in Groups: A Meta-Analytic Clarification of Construct Relations.
2003864 citationsDaniel J. Beal, Robin R. Cohen et al.Journal of Applied Psychologyprofile →
An Episodic Process Model of Affective Influences on Performance.
2005735 citationsDaniel J. Beal, Howard M. Weiss et al.Journal of Applied Psychologyprofile →
Experience Sampling Methods: A Discussion of Critical Trends and Considerations for Scholarly Advancement
2018469 citationsAllison S. Gabriel, Nathan P. Podsakoff et al.Organizational Research Methodsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Daniel J. Beal
Since
Specialization
Citations
This map shows the geographic impact of Daniel J. Beal'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 Daniel J. Beal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Beal more than expected).
This network shows the impact of papers produced by Daniel J. Beal. 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 Daniel J. Beal. The network helps show where Daniel J. Beal may publish in the future.
Co-authorship network of co-authors of Daniel J. Beal
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel J. Beal.
A scholar is included among the top collaborators of Daniel J. Beal 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 Daniel J. Beal. Daniel J. Beal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Gabriel, Allison S., Nathan P. Podsakoff, Daniel J. Beal, et al.. (2018). Experience Sampling Methods: A Discussion of Critical Trends and Considerations for Scholarly Advancement. Organizational Research Methods. 22(4). 969–1006.469 indexed citations breakdown →
Sundie, Jill M., James Ward, & Daniel J. Beal. (2010). Invidious Emotions in Status-Based Social Comparison: Implications For the Status Brand. ACR North American Advances.1 indexed citations
Cardol, Pierre, Benjamin Bailleul, Fabrice Rappaport, et al.. (2008). An original adaptation of photosynthesis in the marine green alga Ostreococcus. HAL (Le Centre pour la Communication Scientifique Directe).5 indexed citations
Beal, Daniel J., Howard M. Weiss, Eduardo Barros, & Shelley MacDermid Wadsworth. (2005). An Episodic Process Model of Affective Influences on Performance.. Journal of Applied Psychology. 90(6). 1054–1068.735 indexed citations breakdown →
Beal, Daniel J., Robin R. Cohen, Michael J. Burke, & Christy L. McLendon. (2003). Cohesion and Performance in Groups: A Meta-Analytic Clarification of Construct Relations.. Journal of Applied Psychology. 88(6). 989–1004.864 indexed citations breakdown →
Landis, Ronald S., Daniel J. Beal, & Paul E. Tesluk. (2000). A Comparison of Approaches to Forming Composite Measures in Structural Equation Models. Organizational Research Methods. 3(2). 186–207.986 indexed citations breakdown →
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.