Marlene M. Hurley

997 total citations · 1 hit paper
11 papers, 664 citations indexed

About

Marlene M. Hurley is a scholar working on Education, Developmental and Educational Psychology and Museology. According to data from OpenAlex, Marlene M. Hurley has authored 11 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Education, 2 papers in Developmental and Educational Psychology and 1 paper in Museology. Recurrent topics in Marlene M. Hurley's work include Innovative Teaching and Learning Methods (2 papers), Diverse Music Education Insights (1 paper) and Statistics Education and Methodologies (1 paper). Marlene M. Hurley is often cited by papers focused on Innovative Teaching and Learning Methods (2 papers), Diverse Music Education Insights (1 paper) and Statistics Education and Methodologies (1 paper). Marlene M. Hurley collaborates with scholars based in United States. Marlene M. Hurley's co-authors include Barbara Wilkinson, Robert L. Bangert‐Drowns, Vicky L. Kouba and Audrey B. Champagne and has published in prestigious journals such as Review of Educational Research, School Science and Mathematics and The American Biology Teacher.

In The Last Decade

Marlene M. Hurley

9 papers receiving 571 citations

Hit Papers

The Effects of School-Based Writing-to-Learn Intervention... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marlene M. Hurley United States 4 525 376 109 62 39 11 664
Donna Ogle United States 9 518 1.0× 472 1.3× 85 0.8× 98 1.6× 87 2.2× 15 836
Hilary Persky United States 9 593 1.1× 445 1.2× 142 1.3× 95 1.5× 43 1.1× 12 763
Claire Sams United Kingdom 5 576 1.1× 440 1.2× 60 0.6× 97 1.6× 33 0.8× 8 725
Alejandra Meneses Chile 11 343 0.7× 351 0.9× 123 1.1× 84 1.4× 37 0.9× 47 587
Kay Brimijoin United States 4 577 1.1× 175 0.5× 37 0.3× 34 0.5× 65 1.7× 6 732
Tanya Christ United States 18 498 0.9× 222 0.6× 91 0.8× 50 0.8× 112 2.9× 53 694
Dana L. Grisham United States 14 463 0.9× 221 0.6× 204 1.9× 108 1.7× 77 2.0× 43 642
Janis Harmon United States 13 429 0.8× 356 0.9× 101 0.9× 142 2.3× 89 2.3× 48 670
Maria Vrikki Cyprus 13 714 1.4× 363 1.0× 66 0.6× 120 1.9× 110 2.8× 30 907
Sherrie L. Nist United States 14 399 0.8× 414 1.1× 36 0.3× 57 0.9× 44 1.1× 37 665

Countries citing papers authored by Marlene M. Hurley

Since Specialization
Citations

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

Fields of papers citing papers by Marlene M. Hurley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marlene M. Hurley. 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 Marlene M. Hurley. The network helps show where Marlene M. Hurley may publish in the future.

Co-authorship network of co-authors of Marlene M. Hurley

This figure shows the co-authorship network connecting the top 25 collaborators of Marlene M. Hurley. A scholar is included among the top collaborators of Marlene M. Hurley 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 Marlene M. Hurley. Marlene M. Hurley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Hurley, Marlene M., et al.. (2008). Assessing Institutional Learner Outcomes. 1(3). 65–72. 1 indexed citations
2.
Hurley, Marlene M., et al.. (2006). Test Anxiety and High Stakes Testing: Pervasive, Pernicious, Punitive and Policy-Driven. The International Journal of Learning Annual Review. 13(1). 163–170. 2 indexed citations
3.
Hurley, Marlene M.. (2006). Field Trips as Cognitive Motivators for High Level Science Learning. The American Biology Teacher. 68(6). e61–e66. 13 indexed citations
4.
Hurley, Marlene M., et al.. (2005). A Taste of Math & Science.. 29(1). 26–29. 1 indexed citations
5.
Hurley, Marlene M., et al.. (2005). An Example of how Meeting Standards Biases Institutions Toward Traditional Assessment Methods: Pre-Service Science Teacher Education. 1 indexed citations
6.
Bangert‐Drowns, Robert L., Marlene M. Hurley, & Barbara Wilkinson. (2004). The Effects of School-Based Writing-to-Learn Interventions on Academic Achievement: A Meta-Analysis. Review of Educational Research. 74(1). 29–58. 526 indexed citations breakdown →
7.
Hurley, Marlene M.. (2001). Reviewing Integrated Science and Mathematics: The Search for Evidence and Definitions From New Perspectives. School Science and Mathematics. 101(5). 259–268. 115 indexed citations
8.
Hurley, Marlene M.. (1999). Interdisciplinary mathematics and science: Characteristics, forms, and related effect sizes for student achievement and affective outcomes. 1 indexed citations
9.
Kouba, Vicky L., et al.. (1998). Literacy in the National Science and Mathematics Standards: Communication and Reasoning. Report Series 3.14.. 3 indexed citations
10.
Hurley, Marlene M., et al.. (1997). Methods of Measuring Affective Impacts from Integrating the Arts into Core Curricula.. 48(2). 107–9. 1 indexed citations
11.
Hurley, Marlene M.. (1986). Review: Microbiology: Classifying Microorganisms. The American Biology Teacher. 48(8). 503–503.

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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