John Jerrim

4.3k total citations
149 papers, 2.3k citations indexed

About

John Jerrim is a scholar working on Education, Sociology and Political Science and Information Systems and Management. According to data from OpenAlex, John Jerrim has authored 149 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Education, 46 papers in Sociology and Political Science and 18 papers in Information Systems and Management. Recurrent topics in John Jerrim's work include School Choice and Performance (55 papers), Intergenerational and Educational Inequality Studies (37 papers) and Early Childhood Education and Development (20 papers). John Jerrim is often cited by papers focused on School Choice and Performance (55 papers), Intergenerational and Educational Inequality Studies (37 papers) and Early Childhood Education and Development (20 papers). John Jerrim collaborates with scholars based in United Kingdom, Spain and Mexico. John Jerrim's co-authors include Sam Sims, Álvaro Choi, Philip D. Parker, Lindsey Macmillan, Anna Vignoles, Mary Oliver, John Micklewright, Rosa Simancas, Gemma Moss and Anna K. Chmielewski and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Developmental Psychology.

In The Last Decade

John Jerrim

130 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Jerrim United Kingdom 27 1.2k 670 278 248 211 149 2.3k
Prashant Loyalka United States 28 987 0.8× 540 0.8× 341 1.2× 223 0.9× 146 0.7× 95 2.1k
Thurston Domina United States 29 2.2k 1.9× 846 1.3× 130 0.5× 159 0.6× 302 1.4× 81 3.0k
Eric Bettinger United States 30 2.9k 2.4× 723 1.1× 241 0.9× 757 3.1× 189 0.9× 79 4.3k
David W. Chapman United States 26 1.8k 1.5× 564 0.8× 396 1.4× 154 0.6× 228 1.1× 120 3.2k
Francesca Borgonovi United Kingdom 25 570 0.5× 754 1.1× 93 0.3× 178 0.7× 260 1.2× 65 2.2k
Richard Desjardins United States 21 782 0.7× 583 0.9× 415 1.5× 257 1.0× 50 0.2× 55 1.8k
Peter Davies United Kingdom 24 1.2k 1.0× 555 0.8× 226 0.8× 105 0.4× 74 0.4× 120 1.9k
Anne West United Kingdom 31 2.0k 1.7× 983 1.5× 554 2.0× 123 0.5× 118 0.6× 154 2.9k
Paul D. Umbach United States 30 2.4k 2.0× 590 0.9× 478 1.7× 106 0.4× 145 0.7× 46 3.5k
Patrick J. McEwan United States 28 1.8k 1.5× 550 0.8× 246 0.9× 312 1.3× 72 0.3× 66 2.7k

Countries citing papers authored by John Jerrim

Since Specialization
Citations

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

Fields of papers citing papers by John Jerrim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Jerrim

This figure shows the co-authorship network connecting the top 25 collaborators of John Jerrim. A scholar is included among the top collaborators of John Jerrim 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 John Jerrim. John Jerrim 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.
Jerrim, John, et al.. (2025). What happens to bright 5-year-olds from poor backgrounds? Longitudinal evidence from the Millennium Cohort Study. Research in Social Stratification and Mobility. 97. 101038–101038.
2.
Jerrim, John, et al.. (2025). Professional learning communities and teacher outcomes. A cross-national analysis. Teaching and Teacher Education. 156. 104920–104920. 3 indexed citations
3.
Anders, Jake, et al.. (2025). The rise in teenagers skipping school across English-speaking countries following the COVID-19 pandemic: evidence from PISA. Educational Assessment Evaluation and Accountability. 38(1). 33–59. 1 indexed citations
4.
Jerrim, John. (2025). The link between school leadership, staff job satisfaction and retention. Longitudinal evidence from England. British Educational Research Journal. 51(4). 1582–1603. 2 indexed citations
5.
Jerrim, John, et al.. (2025). Initial estimates of teacher value‐added in English primary schools. British Educational Research Journal. 51(6). 2942–2963.
6.
Jerrim, John, Luis Alejandro López-Agudo, Sam Sims, & Óscar David Marcenaro Gutiérrez. (2024). Teaching for near transfer: Is maths instruction aimed at schema formation and abstraction associated with pupils' ability to answer unfamiliar maths questions?. Learning and Individual Differences. 118. 102609–102609.
7.
Jerrim, John, Rebecca Allen, & Sam Sims. (2024). How did the COVID-19 pandemic affect the anxiety of teachers at work?. Educational Review. 76(5). 1134–1157. 2 indexed citations
8.
Jerrim, John. (2024). The link between teacher buy‐in and intentions to continue working in their current school. British Educational Research Journal. 50(3). 1084–1105.
9.
Bokhove, Christian, John Jerrim, & Sam Sims. (2023). Are some school inspectors more lenient than others?. School Effectiveness and School Improvement. 34(4). 419–441. 8 indexed citations
10.
Jerrim, John, et al.. (2023). How robust are socio‐economic achievement gradients using PISA data? A case study from Germany. British Educational Research Journal. 50(1). 438–453.
11.
Jerrim, John, et al.. (2023). Teacher autonomy: Good for pupils? Good for teachers?. British Educational Research Journal. 49(6). 1187–1209. 8 indexed citations
12.
Jerrim, John. (2023). Teacher surveys: The pros and cons of random probability surveys versus teacher panels. Review of Education. 11(3). 5 indexed citations
13.
Jerrim, John, Sam Sims, & Mary Oliver. (2023). Teacher self-efficacy and pupil achievement: much ado about nothing? International evidence from TIMSS. Teachers and Teaching. 29(2). 220–240. 24 indexed citations
14.
Jerrim, John. (2023). Measuring parental income using administrative data. What is the best proxy available?. Research Papers in Education. 39(6). 959–983. 3 indexed citations
15.
Jerrim, John. (2023). Has Peak PISA passed? An investigation of interest in International Large-Scale Assessments across countries and over time. European Educational Research Journal. 23(3). 450–476. 7 indexed citations
16.
Jerrim, John, et al.. (2023). Exclusion rates from international large-scale assessments: an analysis of 20 years of IEA data. Educational Assessment Evaluation and Accountability. 36(3). 405–428.
17.
Jerrim, John, et al.. (2023). Overconfident Boys: The Gender Gap in Mathematics Self-Assessment. SSRN Electronic Journal. 3 indexed citations
18.
Allen, Rebecca, et al.. (2020). New evidence on teachers’ working hours in England. An empirical analysis of four datasets. Research Papers in Education. 36(6). 657–681. 33 indexed citations
19.
Jerrim, John, et al.. (2019). Bullshitters. Who are They and What Do We Know About Their Lives. Econstor (Econstor). 2 indexed citations
20.
Parker, Philip D., John Jerrim, Ingrid Schoon, & Herbert W. Marsh. (2016). A multination study of socioeconomic inequality in expectations for progression to higher education: The role of between-school tracking and ability stratification. RePEc: Research Papers in Economics. 1 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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