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 Racial School Climate Gap: Within‐School Disparities in Students’ Experiences of Safety, Support, and Connectedness
2015214 citationsAdam Voight, Thomas Hanson et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Thomas Hanson'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 Thomas Hanson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Hanson more than expected).
This network shows the impact of papers produced by Thomas Hanson. 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 Thomas Hanson. The network helps show where Thomas Hanson may publish in the future.
Co-authorship network of co-authors of Thomas Hanson
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Hanson.
A scholar is included among the top collaborators of Thomas Hanson 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 Thomas Hanson. Thomas Hanson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Hanson, Thomas, et al.. (2020). The Evaluation of the Enhanced Positive School Climate Model.. Grantee Submission.1 indexed citations
2.
Hanson, Thomas, et al.. (2019). Understanding the Experiences of LGBTQ Students in California..5 indexed citations
3.
Voight, Adam & Thomas Hanson. (2017). How Are Middle School Climate and Academic Performance Related across Schools and over Time? REL 2017-212..12 indexed citations
Hanson, Thomas, et al.. (2012). Lessons in Character Impact Evaluation. Final Report. NCEE 2012-4004..2 indexed citations
6.
Hanson, Thomas, et al.. (2011). Effects of Problem Based Economics on High School Economics Instruction. Final Report. NCEE 2010-4022rev..6 indexed citations
7.
Hanson, Thomas, et al.. (2011). Effects of Problem Based Economics on High School Economics Instruction.. Society for Research on Educational Effectiveness.33 indexed citations
8.
Greenleaf, Cynthia, Cindy Litman, Thomas Hanson, et al.. (2010). Integrating Literacy and Science in Biology. American Educational Research Journal. 48(3). 647–717.114 indexed citations
9.
Petrosino, Anthony, Sarah Guckenburg, Jill F. DeVoe, & Thomas Hanson. (2010). What Characteristics of Bullying, Bullying Victims, and Schools Are Associated with Increased Reporting of Bullying to School Officials? Issues & Answers. REL 2010-No. 092..9 indexed citations
10.
Hanson, Thomas & Jin-Ok Kim. (2007). Measuring Resilience and Youth Development: The Psychometric Properties of the Healthy Kids Survey. Issues & Answers. REL 2007-No. 34..82 indexed citations
Hanson, Thomas, Sara McLanahan, & Elizabeth Thomson. (1998). Windows on Divorce: Before and after. Social Science Research. 27(3). 329–349.49 indexed citations
14.
Hanson, Thomas, Irwin Garfinkel, Sara McLanahan, & Cynthia Miller. (1996). Trends in child support outcomes. Demography. 33(4). 483–496.43 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.