Ross Higashi

970 total citations · 1 hit paper
18 papers, 618 citations indexed

About

Ross Higashi is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Education. According to data from OpenAlex, Ross Higashi has authored 18 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Science Applications, 7 papers in Developmental and Educational Psychology and 6 papers in Education. Recurrent topics in Ross Higashi's work include Teaching and Learning Programming (11 papers), Innovative Teaching and Learning Methods (5 papers) and Online Learning and Analytics (4 papers). Ross Higashi is often cited by papers focused on Teaching and Learning Programming (11 papers), Innovative Teaching and Learning Methods (5 papers) and Online Learning and Analytics (4 papers). Ross Higashi collaborates with scholars based in United States and Switzerland. Ross Higashi's co-authors include Christian D. Schunn, Samuel Abramovich, Eben B. Witherspoon, Muhsin Menekşe, Eli Silk, Louis Alfieri, Erik Harpstead and Jessica Hammer and has published in prestigious journals such as Journal of Educational Psychology, Educational Technology Research and Development and Journal of Computer Assisted Learning.

In The Last Decade

Ross Higashi

17 papers receiving 564 citations

Hit Papers

align trajectories

What are hit papers?

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.

Are badges useful in education?: it depends upon the type of badge and expertise of learner

2013 293 citations Samuel Abramovich, Christian D. Schunn et al. Educational Technology Research and Development profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ross Higashi United States	8	359	310	232	70	63	18	618
Florence R. Sullivan United States	11	314 0.9×	238 0.8×	279 1.2×	79 1.1×	43 0.7×	29	670
Danielle B. Harlow United States	17	396 1.1×	297 1.0×	379 1.6×	111 1.6×	56 0.9×	79	827
Jiangmei Yuan United States	9	331 0.9×	197 0.6×	336 1.4×	102 1.5×	54 0.9×	17	660
Golnaz Arastoopour Irgens United States	11	210 0.6×	218 0.7×	150 0.6×	50 0.7×	32 0.5×	48	530
Mike Tissenbaum United States	12	275 0.8×	210 0.7×	166 0.7×	107 1.5×	50 0.8×	47	520
Chronis Kynigos Greece	14	219 0.6×	316 1.0×	287 1.2×	85 1.2×	71 1.1×	69	601
Cynthia D’Angelo United States	11	192 0.5×	434 1.4×	332 1.4×	54 0.8×	55 0.9×	36	705
Gaoxia Zhu Singapore	14	189 0.5×	346 1.1×	304 1.3×	126 1.8×	39 0.6×	69	653
Brock Craft United Kingdom	12	196 0.5×	165 0.5×	170 0.7×	82 1.2×	66 1.0×	31	555
R. Keith Sawyer	3	111 0.3×	268 0.9×	308 1.3×	57 0.8×	46 0.7×	3	556

Countries citing papers authored by Ross Higashi

Since Specialization

Citations

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

Fields of papers citing papers by Ross Higashi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ross Higashi

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

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Harpstead, Erik, et al.. (2023). Comparative Design-Based Research: How Afterschool Programs Impact Learners’ Engagement with a Video Game Codesign. Proceedings.. 561–568. 1 indexed citations

Harpstead, Erik, et al.. (2023). “I'm a little less inclined to do it”: How Afterschool Programs’ Culture Impact Co-Design Processes and Outcomes. 1263–1276. 3 indexed citations

Harpstead, Erik, et al.. (2023). Designing Black Children in Video Games. interactions. 30(5). 54–56. 2 indexed citations

Harpstead, Erik, et al.. (2023). “What's Your Name Again?”: How Race and Gender Dynamics Impact Codesign Processes and Output. ACM Transactions on Computer-Human Interaction. 30(6). 1–26. 1 indexed citations

Harpstead, Erik, et al.. (2021). Negotiating Systemic Racial and Gender Bias as a Minoritized Adult Design Researcher. 203–208. 1 indexed citations

Higashi, Ross, et al.. (2021). The Design of Co-Robotic Games for Computer Science Education. 111–116. 3 indexed citations

Silk, Eli, Ross Higashi, & Christian D. Schunn. (2020). Resources for Robot Competition Success: Assessing Math Use in Grade-School-Level Engineering Design. 22.1246.1–22.1246.24. 2 indexed citations

Higashi, Ross & Christian D. Schunn. (2019). Perceived relevance of digital badges predicts longitudinal change in program engagement.. Journal of Educational Psychology. 112(5). 1020–1041. 4 indexed citations

Witherspoon, Eben B., et al.. (2018). Attending to structural programming features predicts differences in learning and motivation. Journal of Computer Assisted Learning. 34(2). 115–128. 29 indexed citations

10.

Higashi, Ross. (2018). The effect of perceived relevance of digital badges on student engagement. D-Scholarship@Pitt (University of Pittsburgh). 2 indexed citations

11.

Higashi, Ross, et al.. (2017). Different underlying motivations and abilities predict student versus teacher persistence in an online course. Educational Technology Research and Development. 65(6). 1471–1493. 21 indexed citations

12.

Witherspoon, Eben B., et al.. (2017). Developing Computational Thinking through a Virtual Robotics Programming Curriculum. ACM Transactions on Computing Education. 18(1). 1–20. 86 indexed citations

13.

Menekşe, Muhsin, et al.. (2017). The Role of Robotics Teams’ Collaboration Quality on Team Performance in a Robotics Tournament. Journal of Engineering Education. 106(4). 564–584. 59 indexed citations

14.

Witherspoon, Eben B., et al.. (2016). Gender, interest, and prior experience shape opportunities to learn programming in robotics competitions. International Journal of STEM Education. 3(1). 56 indexed citations

15.

Alfieri, Louis, et al.. (2015). Case studies of a robot-based game to shape interests and hone proportional reasoning skills. International Journal of STEM Education. 2(1). 25 indexed citations

16.

Menekşe, Muhsin, et al.. (2015). An investigation of the relationship between K-8 robotics teams' collaborative behaviors and their performance in a robotics tournament. 1–5.

17.

Abramovich, Samuel, Christian D. Schunn, & Ross Higashi. (2013). Are badges useful in education?: it depends upon the type of badge and expertise of learner. Educational Technology Research and Development. 61(2). 217–232. 293 indexed citations breakdown →

18.

Silk, Eli, et al.. (2010). Designing Technology Activities that Teach Mathematics. D-Scholarship@Pitt (University of Pittsburgh). 69(4). 21–27. 30 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.

Explore authors with similar magnitude of impact