Barbara C. Buckley

1.5k total citations
17 papers, 814 citations indexed

About

Barbara C. Buckley is a scholar working on Developmental and Educational Psychology, Education and Molecular Biology. According to data from OpenAlex, Barbara C. Buckley has authored 17 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Developmental and Educational Psychology, 9 papers in Education and 3 papers in Molecular Biology. Recurrent topics in Barbara C. Buckley's work include Innovative Teaching and Learning Methods (10 papers), Science Education and Pedagogy (8 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Barbara C. Buckley is often cited by papers focused on Innovative Teaching and Learning Methods (10 papers), Science Education and Pedagogy (8 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). Barbara C. Buckley collaborates with scholars based in United States, United Kingdom and Australia. Barbara C. Buckley's co-authors include Janice D. Gobert, Paul Horwitz, Edys Quellmalz, Michael Timms, Uri Wilensky, Laura M. O’Dwyer, Sharona T. Levy, Chris Dede, Robert Tinker and John B. Willett and has published in prestigious journals such as Journal of Educational Psychology, Educational Researcher and Journal of Research in Science Teaching.

In The Last Decade

Barbara C. Buckley

17 papers receiving 710 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barbara C. Buckley United States	11	547	455	146	87	73	17	814
Barbara Hug United States	11	853 1.6×	567 1.2×	111 0.8×	43 0.5×	64 0.9×	26	1.1k
Joe Krajcik United States	9	779 1.4×	518 1.1×	97 0.7×	32 0.4×	60 0.8×	17	976
Andrés Acher Germany	5	764 1.4×	502 1.1×	94 0.6×	32 0.4×	57 0.8×	8	944
Alicia C. Alonzo United States	17	919 1.7×	442 1.0×	59 0.4×	61 0.7×	109 1.5×	34	1.1k
Elwin Savelsbergh Netherlands	12	565 1.0×	492 1.1×	133 0.9×	74 0.9×	160 2.2×	29	919
Joseph Krajcik United States	16	549 1.0×	356 0.8×	105 0.7×	34 0.4×	35 0.5×	39	803
Yael Shwartz Israel	10	1.1k 2.0×	636 1.4×	107 0.7×	35 0.4×	72 1.0×	18	1.3k
Lisa Kenyon United States	10	1.2k 2.1×	804 1.8×	126 0.9×	39 0.4×	72 1.0×	17	1.4k
Jennifer L. Chiu United States	13	587 1.1×	388 0.9×	123 0.8×	49 0.6×	127 1.7×	56	993
Umesh Ramnarain South Africa	18	823 1.5×	358 0.8×	105 0.7×	29 0.3×	53 0.7×	94	1.0k

Countries citing papers authored by Barbara C. Buckley

Since Specialization

Citations

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

Fields of papers citing papers by Barbara C. Buckley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara C. Buckley. 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 Barbara C. Buckley. The network helps show where Barbara C. Buckley may publish in the future.

Co-authorship network of co-authors of Barbara C. Buckley

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

All Works

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17 of 17 papers shown

Mass, Jennifer L., et al.. (2016). Portable X-ray Fluorescence and Infrared Fluorescence Imaging Studies of Cadmium Yellow Alteration in Paintings by Edward Munch and Henri matisse in Oslo, Copenhagen, and San Francisco. Ministry of Culture Research Portal. 1 indexed citations

DeBoer, George E., Edys Quellmalz, Jodi L. Davenport, et al.. (2014). Comparing three online testing modalities: Using static, active, and interactive online testing modalities to assess middle school students' understanding of fundamental ideas and use of inquiry skills related to ecosystems. Journal of Research in Science Teaching. 51(4). 523–554. 22 indexed citations

Quellmalz, Edys, Jodi L. Davenport, Michael Timms, et al.. (2013). Next-generation environments for assessing and promoting complex science learning.. Journal of Educational Psychology. 105(4). 1100–1114. 27 indexed citations

Buckley, Barbara C., et al.. (2012). 21st Century Dynamic Assessment. 55–90. 20 indexed citations

Quellmalz, Edys, et al.. (2012). Science assessments for all: Integrating science simulations into balanced state science assessment systems. Journal of Research in Science Teaching. 49(3). 363–393. 85 indexed citations

Gobert, Janice D., Laura M. O’Dwyer, Paul Horwitz, et al.. (2010). Examining the Relationship Between Students’ Understanding of the Nature of Models and Conceptual Learning in Biology, Physics, and Chemistry. International Journal of Science Education. 33(5). 653–684. 78 indexed citations

Buckley, Barbara C., Janice D. Gobert, Paul Horwitz, & Laura M. O’Dwyer. (2010). Looking inside the black box: assessing model-based learning and inquiry in BioLogica™. International Journal of Learning Technology. 5(2). 166–166. 34 indexed citations

Quellmalz, Edys, Michael Timms, & Barbara C. Buckley. (2010). The promise of simulation-based science assessment: the Calipers project. International Journal of Learning Technology. 5(3). 243–243. 6 indexed citations

Quellmalz, Edys, Barbara C. Buckley, & Michael Timms. (2009). Using Simulations to Support Powerful Formative Assessments of Complex Science Learning. 6 indexed citations

10.

Buckley, Barbara C., Janice D. Gobert, & Paul Horwitz. (2006). Using log files to track students' model-based inquiry. International Conference of Learning Sciences. 57–63. 27 indexed citations

11.

Buckley, Barbara C., Janice D. Gobert, Ann C. H. Kindfield, et al.. (2004). Model-Based Teaching and Learning with BioLogica™: What Do They Learn? How Do They Learn? How Do We Know?. Journal of Science Education and Technology. 13(1). 23–41. 101 indexed citations

12.

Gobert, Janice D., Paul Horwitz, Barbara C. Buckley, et al.. (2003). Modeling Across the Curriculum: Scaling up Modeling using Technology. eScholarship (California Digital Library). 25(25). 10 indexed citations

13.

Boulter, Carolyn J., Barbara C. Buckley, & Helen Walkington. (2001). Model-Based Teaching and Learning during Ecological Inquiry.. 5 indexed citations

14.

Gobert, Janice D. & Barbara C. Buckley. (2000). Introduction to model-based teaching and learning in science education. International Journal of Science Education. 22(9). 891–894. 229 indexed citations

15.

Buckley, Barbara C.. (2000). Interactive multimedia and model-based learning in biology. International Journal of Science Education. 22(9). 895–935. 152 indexed citations

16.

Buckley, Barbara C.. (1989). A Good Question: What Curriculum for the Information Age?. Educational Researcher. 18(1). 46–46. 2 indexed citations

17.

Buckley, Barbara C. & Mary Alice White. (1989). A Good Question: What Curriculum for the Information Age?. Educational Researcher. 18(1). 46–46. 9 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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