Brian Gravel

495 total citations
35 papers, 326 citations indexed

About

Brian Gravel is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Brian Gravel has authored 35 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Science Applications, 11 papers in Developmental and Educational Psychology and 10 papers in Education. Recurrent topics in Brian Gravel's work include Teaching and Learning Programming (19 papers), Innovative Teaching and Learning Methods (8 papers) and Experimental Learning in Engineering (6 papers). Brian Gravel is often cited by papers focused on Teaching and Learning Programming (19 papers), Innovative Teaching and Learning Methods (8 papers) and Experimental Learning in Engineering (6 papers). Brian Gravel collaborates with scholars based in United States, Australia and Albania. Brian Gravel's co-authors include Michelle Hoda Wilkerson, Eli Tucker‐Raymond, Aditi Wagh, Vanessa Svihla, Chris Rogers, Philip T. Starks, Jan A. Pechenik, Andri Ioannou, Peter Y. Wong and R. Benjamin Shapiro and has published in prestigious journals such as Teachers College Record The Voice of Scholarship in Education, Educational Technology Research and Development and Journal of the Learning Sciences.

In The Last Decade

Brian Gravel

32 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian Gravel United States 11 145 130 127 34 29 35 326
Debra Bernstein United States 11 96 0.7× 99 0.8× 175 1.4× 23 0.7× 38 1.3× 34 366
Anne Forbes Australia 13 185 1.3× 72 0.6× 117 0.9× 26 0.8× 40 1.4× 25 450
Gina Svarovsky United States 10 185 1.3× 198 1.5× 124 1.0× 54 1.6× 24 0.8× 29 415
Jeremy V. Ernst United States 12 220 1.5× 133 1.0× 141 1.1× 69 2.0× 81 2.8× 83 471
Alan Buss United States 5 105 0.7× 100 0.8× 176 1.4× 17 0.5× 36 1.2× 10 325
Eli Tucker‐Raymond United States 13 286 2.0× 257 2.0× 181 1.4× 18 0.5× 25 0.9× 35 564
Alexandria K. Hansen United States 11 95 0.7× 113 0.9× 227 1.8× 32 0.9× 42 1.4× 28 365
Katie Van Horne United States 12 281 1.9× 139 1.1× 58 0.5× 16 0.5× 34 1.2× 25 455
Stijn Ceuppens Belgium 6 297 2.0× 104 0.8× 48 0.4× 34 1.0× 52 1.8× 10 408
Joshua A. Ellis United States 10 340 2.3× 127 1.0× 79 0.6× 40 1.2× 40 1.4× 27 458

Countries citing papers authored by Brian Gravel

Since Specialization
Citations

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

Fields of papers citing papers by Brian Gravel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brian Gravel

This figure shows the co-authorship network connecting the top 25 collaborators of Brian Gravel. A scholar is included among the top collaborators of Brian Gravel 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 Brian Gravel. Brian Gravel 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.
Gravel, Brian, Joshua Cohen, Christopher Wright, et al.. (2024). Empowering Students in Learning Engineering and Design: Ethical and Transformative Pedagogy for a Socially Conscious Future. Proceedings.. 2029–2036. 1 indexed citations
2.
Gravel, Brian, et al.. (2024). A Case Study: Making Facilitates an Engineering Student’s (Re)Negotiation with Her Disciplinary Relationships. Papers on Engineering Education Repository (American Society for Engineering Education).
3.
Ioannou, Andri & Brian Gravel. (2024). Trends, tensions, and futures of maker education research: a 2025 vision for STEM+ disciplinary and transdisciplinary spaces for learning through making. Educational Technology Research and Development. 72(1). 1–14. 8 indexed citations
4.
Gravel, Brian, et al.. (2023). What shapes implementation of a school-based makerspace? Teachers as multilevel actors in STEM reforms. International Journal of STEM Education. 10(1). 6 indexed citations
5.
Gravel, Brian, et al.. (2022). “Weebles wobble but they also commit to lifelong relationships”: teachers’ transdisciplinary learning in computational play. International Journal of STEM Education. 9(1). 7 indexed citations
6.
Gravel, Brian, et al.. (2021). More than Mechanisms: Shifting Ideologies for Asset-Based Learning in Engineering Education. Purdue e-Pubs (Purdue University System). 11(1). 16 indexed citations
7.
Watkins, Jessica, Brian Gravel, Eli Tucker‐Raymond, et al.. (2020). Centering Relationships in STEM Disciplines: A Sociopolitical Lens on Teacher Learning.. ICLS. 1 indexed citations
8.
Portsmore, Merredith, et al.. (2020). The Benefit Of Outreach To Engineering Students. 9.1235.1–9.1235.12. 10 indexed citations
9.
Hall, Rogers, Brian Gravel, Eli Tucker‐Raymond, et al.. (2020). Designs for Learning With and Through Sound.. 453–460. 1 indexed citations
10.
Gravel, Brian, et al.. (2020). Institutional Ambiguity and De Facto Tracking in STEM. Teachers College Record The Voice of Scholarship in Education. 122(8). 1–38. 9 indexed citations
11.
Knight, Meredith, et al.. (2020). Learning Through Teaching: A Longitudinal Study On The Effects Of Gk 12 Programs On Teaching Fellows. Papers on Engineering Education Repository (American Society for Engineering Education). 10.883.1–10.883.12. 6 indexed citations
12.
Gravel, Brian, et al.. (2020). Applying K 8 Engineering Education To Graduate Student Studies. 8.231.1–8.231.7.
13.
Tucker‐Raymond, Eli & Brian Gravel. (2019). STEM Literacies in Makerspaces. 19 indexed citations
14.
Halverson, Erica Rosenfeld, Breanne Krystine Litts, & Brian Gravel. (2018). Forms of Emergent Collaboration in Maker-Based Learning. Digital Commons - USU (Utah State University). 2. 921–924. 3 indexed citations
15.
Wilkerson, Michelle Hoda, et al.. (2017). Epistemic gameplay and discovery in computational model-based inquiry activities. Instructional Science. 46(1). 35–60. 24 indexed citations
16.
Wilkerson, Michelle Hoda, et al.. (2017). Exploring Computational Modeling Environments as Tools to Structure Classroom-Level Knowledge Building. Computer Supported Collaborative Learning. 2 indexed citations
17.
Shapiro, R. Benjamin, et al.. (2016). How Do We Assess Equity in Programming Pairs. ICLS. 9 indexed citations
18.
Wilkerson, Michelle Hoda, et al.. (2013). SiMSAM: An integrated toolkit to bridge student, scientific, and mathematical ideas using computational media. Computer Supported Collaborative Learning. 379–380. 5 indexed citations
19.
Gravel, Brian, et al.. (2007). Teaching Parabolic Motion with Stop-Action Animations*. International journal of engineering education. 23(5). 861–867. 8 indexed citations
20.
Gravel, Brian, Peter Y. Wong, Philip T. Starks, & Jan A. Pechenik. (2004). The use of artificial shells for exploring shell preference in the marine hermit crab Pagurus longicarpus (Say). Annales Zoologici Fennici. 41(3). 477–485. 17 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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