Steven Glazerman

2.1k total citations
47 papers, 1.1k citations indexed

About

Steven Glazerman is a scholar working on Education, General Agricultural and Biological Sciences and Sociology and Political Science. According to data from OpenAlex, Steven Glazerman has authored 47 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Education, 7 papers in General Agricultural and Biological Sciences and 6 papers in Sociology and Political Science. Recurrent topics in Steven Glazerman's work include School Choice and Performance (25 papers), Education Systems and Policy (20 papers) and Teacher Education and Leadership Studies (14 papers). Steven Glazerman is often cited by papers focused on School Choice and Performance (25 papers), Education Systems and Policy (20 papers) and Teacher Education and Leadership Studies (14 papers). Steven Glazerman collaborates with scholars based in United States and Canada. Steven Glazerman's co-authors include Paul T. Decker, Daniel P. Mayer, David Myers, Dan Levy, Amy Johnson, Martha Bleeker, Mary Grider, Eric Isenberg, Sarah Dolfin and Jeffrey E. Max and has published in prestigious journals such as Journal of Policy Analysis and Management, The Annals of the American Academy of Political and Social Science and Educational Evaluation and Policy Analysis.

In The Last Decade

Steven Glazerman

45 papers receiving 888 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Steven Glazerman United States 16 824 171 133 118 116 47 1.1k
Mark Dynarski United States 19 654 0.8× 140 0.8× 104 0.8× 56 0.5× 245 2.1× 43 1.1k
Tatiana Melguizo United States 22 975 1.2× 169 1.0× 62 0.5× 26 0.2× 147 1.3× 45 1.2k
Christopher R. Walters United States 13 577 0.7× 236 1.4× 95 0.7× 26 0.2× 211 1.8× 22 905
Eugenia Froedge Toma United States 19 616 0.7× 189 1.1× 13 0.1× 29 0.2× 286 2.5× 46 948
Judith Scott-Clayton United States 20 1.3k 1.6× 180 1.1× 70 0.5× 10 0.1× 328 2.8× 58 1.5k
Kelly Ochs Rosinger United States 13 480 0.6× 117 0.7× 47 0.4× 14 0.1× 78 0.7× 44 750
William R. Doyle United States 17 682 0.8× 150 0.9× 37 0.3× 14 0.1× 204 1.8× 59 1.0k
Robert Kelchen United States 15 680 0.8× 118 0.7× 31 0.2× 11 0.1× 162 1.4× 69 875
Debra D. Bragg United States 15 719 0.9× 85 0.5× 8 0.1× 35 0.3× 38 0.3× 124 882
Björn Öckert Sweden 14 534 0.6× 448 2.6× 33 0.2× 10 0.1× 260 2.2× 30 1.1k

Countries citing papers authored by Steven Glazerman

Since Specialization
Citations

This map shows the geographic impact of Steven Glazerman'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 Steven Glazerman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Glazerman more than expected).

Fields of papers citing papers by Steven Glazerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Glazerman. 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 Steven Glazerman. The network helps show where Steven Glazerman may publish in the future.

Co-authorship network of co-authors of Steven Glazerman

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Glazerman. A scholar is included among the top collaborators of Steven Glazerman 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 Steven Glazerman. Steven Glazerman 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.
Glazerman, Steven, et al.. (2016). Market Signals: How Do DC Parents Rank Schools, and What Does It Mean for Policy? Policy Brief.. Mathematica Policy Research Reports. 2 indexed citations
2.
Glazerman, Steven, et al.. (2013). Transfer Incentives for High-Performing Teachers: Final Results from a Multisite Randomized Experiment. NCEE 2014-4003.. 21 indexed citations
3.
Glazerman, Steven, et al.. (2013). Transfer Incentives for High-Performing Teachers: Final Results from a Multisite Randomized Experiment. Executive Summary. NCEE 2014-4004.. 4 indexed citations
4.
Glazerman, Steven, et al.. (2013). Transfer Incentives for High-Performing Teachers: Final Results from a Multisite Randomized Experiment. Mathematica Policy Research Reports. 30 indexed citations
5.
Glazerman, Steven, et al.. (2012). An Evaluation of the Chicago Teacher Advancement Program (Chicago TAP) after Four Years. Final Report.. Mathematica Policy Research Reports. 15 indexed citations
6.
Glazerman, Steven & Jeffrey E. Max. (2011). Do Low-Income Students Have Equal Access to the Highest-Performing Teachers? NCEE Evaluation Brief. NCEE 2011-4016.. 5 indexed citations
7.
Glazerman, Steven, et al.. (2011). False Performance Gains: A Critique of Successive Cohort Indicators. Working Paper.. Mathematica Policy Research Reports. 1 indexed citations
8.
Glazerman, Steven & Jeffrey E. Max. (2011). Do Low-Income Students Have Equal Access to the Highest-Performing Teachers? Technical Appendix. NCEE 2011-4016.. 1 indexed citations
9.
Glazerman, Steven, et al.. (2011). Impacts of Performance Pay Under the Teacher Incentive Fund: Study Design Report. Mathematica Policy Research Reports. 6 indexed citations
10.
Glazerman, Steven, et al.. (2010). An Evaluation of the Teacher Advancement Program (TAP) in Chicago: Year Two Impact Report.. Mathematica Policy Research Reports. 31 indexed citations
11.
Glazerman, Steven, Eric Isenberg, Sarah Dolfin, et al.. (2010). Impacts of Comprehensive Teacher Induction: Final Results from a Randomized Controlled Study. Mathematica Policy Research Reports. 97 indexed citations
12.
Booker, Kevin & Steven Glazerman. (2009). Effects of the Missouri Career Ladder Program on Teacher Mobility. Mathematica Policy Research Reports. 2 indexed citations
13.
Booker, Kevin & Steven Glazerman. (2009). Does the Missouri Teacher Career Ladder Program Raise Student Achievement. Mathematica Policy Research Reports. 2 indexed citations
14.
Glazerman, Steven, et al.. (2009). An Evaluation of the Teacher Advancement Program (TAP) in Chicago: Year One Impact Report. Final Report.. Mathematica Policy Research Reports. 3 indexed citations
15.
Isenberg, Eric, Steven Glazerman, Martha Bleeker, et al.. (2009). Impacts of Comprehensive Teacher Induction: Results from the Second Year of a Randomized Controlled Study. Mathematica Policy Research Reports. 45 indexed citations
16.
Glazerman, Steven, et al.. (2008). Passport to Teaching: Career Choices and Experiences of American Board Certified Teachers. Final Report. MPR Reference No. 6215-030.. Mathematica Policy Research Reports. 1 indexed citations
17.
Glazerman, Steven & Christina Clark Tuttle. (2006). An Evaluation of American Board Teacher Certification Progress and Plans. Mathematica Policy Research Reports. 4 indexed citations
18.
Glazerman, Steven, Christina Clark Tuttle, & Gail P. Baxter. (2006). School Principals Perspectives on the Passport to Teaching. Mathematica Policy Research Reports. 2 indexed citations
19.
Glazerman, Steven, et al.. (2006). Design of an Impact Evaluation of Teacher Induction Programs. Final Report.. Mathematica Policy Research Reports. 7 indexed citations
20.
Decker, Paul T., Daniel P. Mayer, & Steven Glazerman. (2004). The Effects of Teach For America on Students: Findings from a National Evaluation. Mathematica Policy Research Reports. 153 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.

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