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.
Transcriptional regulatory code of a eukaryotic genome
20041.7k citationsNancy M. Hannett, David Reynolds et al.profile →
Countries citing papers authored by David Reynolds
Since
Specialization
Citations
This map shows the geographic impact of David Reynolds'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 David Reynolds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Reynolds more than expected).
This network shows the impact of papers produced by David Reynolds. 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 David Reynolds. The network helps show where David Reynolds may publish in the future.
Co-authorship network of co-authors of David Reynolds
This figure shows the co-authorship network connecting the top 25 collaborators of David Reynolds.
A scholar is included among the top collaborators of David Reynolds 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 David Reynolds. David Reynolds is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Muijs, Daniël, Anthony Kelly, Pam Sammons, David Reynolds, & Chris Chapman. (2011). The value of educational effectiveness research – a response to recent criticism. ePrints Soton (University of Southampton).4 indexed citations
Reynolds, David, et al.. (2003). Gurkha : the illustrated history.1 indexed citations
7.
Reynolds, David & Daniël Muijs. (2003). Student Background and Teacher Effects on Achievement and Attainment in Mathematics. Educational Research and Evaluation.8 indexed citations
Reynolds, David. (2002). Teachers Beliefs and Behaviours – What Really Matters?. Cronfa (Swansea University).91 indexed citations
10.
Reynolds, David. (2001). Effective Teaching: Research and Practice. Cronfa (Swansea University).27 indexed citations
11.
Vignoles, Anna, et al.. (2000). The Relationship Between Resource Allocation and Pupil Attainment: A Review. CentAUR (University of Reading).69 indexed citations
12.
Reynolds, David. (1996). Worlds Apart? A review of international surveys of achievement involving England. Cronfa (Swansea University).3 indexed citations
13.
Reynolds, David. (1996). Making Good Schools: Linking School Effectiveness and School Improvement. Cronfa (Swansea University).93 indexed citations
14.
Gray, John, et al.. (1996). Merging Traditions: The Future of Research on School Effectiveness and School Improvement. Cassell eBooks.107 indexed citations
Aspin, David, Judith Chapman, David Reynolds, & Bert Creemers. (1994). Quality schooling: A pragmatic approach to some current problems, topics and issues. UWA Profiles and Research Repository (University of Western Australia).19 indexed citations
Reynolds, David, Michael Sullivan, & Stephen Murgatroyd. (1987). The comprehensive experiment : a comparison of the selective and non-selective systems of school organization.8 indexed citations
Reynolds, David. (1974). Some do, some don't..3 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.