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.
Does teaching experience increase teacher effectiveness? A review of US research
2019139 citationsAnne Podolsky, Tara Kini et al.Journal of Professional Capital and Communityprofile →
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 Tara Kini'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 Tara Kini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tara Kini more than expected).
This network shows the impact of papers produced by Tara Kini. 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 Tara Kini. The network helps show where Tara Kini may publish in the future.
Co-authorship network of co-authors of Tara Kini
This figure shows the co-authorship network connecting the top 25 collaborators of Tara Kini.
A scholar is included among the top collaborators of Tara Kini 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 Tara Kini. Tara Kini is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
14 of 14 papers shown
1.
Berry, Barnett, Kevin C. Bastian, Linda Darling‐Hammond, & Tara Kini. (2021). The Importance of Teaching and Learning Conditions: Infuences on Teacher Retention and School Performance in North Carolina. Research Brief..1 indexed citations
2.
Carver-Thomas, Desiree, et al.. (2020). Sharpening the Divide: How California's Teacher Shortages Expand Inequality..5 indexed citations
3.
Oakes, Jeannie, et al.. (2020). Improving Education the New Mexico Way: An Evidence-Based Approach..2 indexed citations
Darling‐Hammond, Linda, Jeannie Oakes, Maria E. Hyler, et al.. (2019). Preparing Teachers for Deeper Learning (research brief)..5 indexed citations
6.
Podolsky, Anne, Tara Kini, & Linda Darling‐Hammond. (2019). Does teaching experience increase teacher effectiveness? A review of US research. Journal of Professional Capital and Community. 4(4). 286–308.139 indexed citations breakdown →
7.
Espinoza, Daniel, et al.. (2018). Taking the Long View: State Efforts to Solve Teacher Shortages by Strengthening the Profession.17 indexed citations
Kini, Tara & Anne Podolsky. (2016). Does Teaching Experience Increase Teacher Effectiveness? A Review of the Research. Research Brief..2 indexed citations
10.
Podolsky, Anne & Tara Kini. (2016). How Effective Are Loan Forgiveness and Service Scholarships for Recruiting Teachers? Policy Brief..8 indexed citations
Trujillo, Tina, et al.. (2012). Democratic School Turnarounds: Pursuing Equity and Learning from Evidence..21 indexed citations
13.
Kini, Tara, et al.. (2005). Career satisfaction among Indian pharmacists [11]. Journal of Pharmacy Practice and Research. 35(4). 333–334.2 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.