Matthew L. Bernacki

4.0k total citations · 3 hit papers
70 papers, 2.2k citations indexed

About

Matthew L. Bernacki is a scholar working on Developmental and Educational Psychology, Education and Computer Science Applications. According to data from OpenAlex, Matthew L. Bernacki has authored 70 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Developmental and Educational Psychology, 34 papers in Education and 20 papers in Computer Science Applications. Recurrent topics in Matthew L. Bernacki's work include Innovative Teaching and Learning Methods (37 papers), Online Learning and Analytics (19 papers) and Education, Achievement, and Giftedness (15 papers). Matthew L. Bernacki is often cited by papers focused on Innovative Teaching and Learning Methods (37 papers), Online Learning and Analytics (19 papers) and Education, Achievement, and Giftedness (15 papers). Matthew L. Bernacki collaborates with scholars based in United States, Australia and South Korea. Matthew L. Bernacki's co-authors include Candace Walkington, Jeffrey A. Greene, Helen Crompton, Nikki G. Lobczowski, Adar Ben‐Eliyahu, Timothy J. Nokes‐Malach, Vincent Aleven, Harsha N. Perera, Elizabeth L. Jaeger and Jennifer G. Cromley and has published in prestigious journals such as Journal of Educational Psychology, Computers in Human Behavior and Computers & Education.

In The Last Decade

Matthew L. Bernacki

66 papers receiving 2.1k 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.

Mobile technology, learning, and achievement: Advances in understanding and measuring the role of mobile technology in education

2019 237 citations Matthew L. Bernacki, Jeffrey A. Greene et al. Contemporary Educational Psychology profile →
A Systematic Review of Research on Personalized Learning: Personalized by Whom, to What, How, and for What Purpose(s)?

2021 186 citations Matthew L. Bernacki et al. profile →
Appraising research on personalized learning: Definitions, theoretical alignment, advancements, and future directions

2020 125 citations Candace Walkington, Matthew L. Bernacki profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew L. Bernacki United States	26	990	826	631	355	348	70	2.2k
Dirk Tempelaar Netherlands	26	1.4k 1.5×	716 0.9×	867 1.4×	243 0.7×	233 0.7×	91	2.4k
Luke K. Fryer Hong Kong	26	895 0.9×	628 0.8×	494 0.8×	349 1.0×	349 1.0×	93	2.6k
Fien Depaepe Belgium	26	2.1k 2.1×	770 0.9×	401 0.6×	232 0.7×	431 1.2×	116	3.0k
Nadira Saab Netherlands	26	1.8k 1.8×	817 1.0×	422 0.7×	177 0.5×	437 1.3×	83	2.8k
Kui Xie United States	30	1.8k 1.8×	998 1.2×	604 1.0×	199 0.6×	468 1.3×	79	2.7k
Esther Care Australia	18	1.2k 1.2×	642 0.8×	247 0.4×	174 0.5×	302 0.9×	69	2.0k
Rebeca Cerezo Spain	28	1.2k 1.2×	582 0.7×	791 1.3×	141 0.4×	454 1.3×	84	2.2k
Eduardo Cascallar Belgium	15	1.1k 1.1×	617 0.7×	309 0.5×	166 0.5×	176 0.5×	29	1.8k
Bas Giesbers Netherlands	16	797 0.8×	426 0.5×	599 0.9×	214 0.6×	200 0.6×	42	1.6k
John C. Nesbit Canada	25	1.5k 1.5×	1.6k 2.0×	1.1k 1.7×	605 1.7×	412 1.2×	70	3.4k

Countries citing papers authored by Matthew L. Bernacki

Since Specialization

Citations

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

Fields of papers citing papers by Matthew L. Bernacki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew L. Bernacki. 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 Matthew L. Bernacki. The network helps show where Matthew L. Bernacki may publish in the future.

Co-authorship network of co-authors of Matthew L. Bernacki

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew L. Bernacki. A scholar is included among the top collaborators of Matthew L. Bernacki 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 Matthew L. Bernacki. Matthew L. Bernacki 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:

20 of 20 papers shown

Kuhlmann, Shelbi L., et al.. (2025). Interpretable Predictive Analytics for Online Learning. Journal of Learning Analytics. 12(2). 259–278.

Bernacki, Matthew L., Jeffrey A. Greene, Shelbi L. Kuhlmann, et al.. (2024). Co‐designing enduring learning analytics prediction and support tools in undergraduate biology courses. British Journal of Educational Technology. 55(5). 1860–1883. 2 indexed citations

Walkington, Candace, et al.. (2024). When Am I (N)ever Going to Use This? How Engineers Use Algebra (NSF DRL). 2021 ASEE Virtual Annual Conference Content Access Proceedings.

Hayes, Donald, et al.. (2024). Using LMS Data to Provide Early Alerts to Struggling Students. Papers on Engineering Education Repository (American Society for Engineering Education). 1 indexed citations

Bernacki, Matthew L., et al.. (2024). Beyond Frequency: Using Epistemic Network Analysis and Multimodal Traces to Understand Temporal Dynamics of Self-Regulated Learning. Journal of Science Education and Technology. 34(5). 1110–1127. 1 indexed citations

Walkington, Candace, et al.. (2024). The effect of an intervention personalizing mathematics to students’ career and popular culture interests on mathematics interest and learning.. Journal of Educational Psychology. 116(4). 506–531. 3 indexed citations

Bernacki, Matthew L., et al.. (2023). Relations between undergraduates’ self-regulated learning skill mastery during digital training and biology performance. Metacognition and Learning. 18(3). 711–747. 7 indexed citations

Bernacki, Matthew L., et al.. (2020). Effects of digital learning skill training on the academic performance of undergraduates in science and mathematics.. Journal of Educational Psychology. 113(6). 1107–1125. 31 indexed citations

Bernacki, Matthew L., et al.. (2019). Can a brief, digital skill training intervention help undergraduates “learn to learn” and improve their STEM achievement?. Journal of Educational Psychology. 112(4). 765–781. 62 indexed citations

10.

Walkington, Candace & Matthew L. Bernacki. (2018). Personalizing Algebra to Students’ Individual Interests in an Intelligent Tutoring System: Moderators of Impact. International Journal of Artificial Intelligence in Education. 29(1). 58–88. 58 indexed citations

11.

Kardash, CarolAnne M., et al.. (2018). The effects of retrieval practice and prior topic knowledge on test performance and confidence judgments. Contemporary Educational Psychology. 56. 117–129. 26 indexed citations

12.

Bernacki, Matthew L., et al.. (2017). A Prediction and Early Alert Model Using Learning Management System Data and Grounded in Learning Science Theory.. Educational Data Mining. 5 indexed citations

13.

Bernacki, Matthew L., et al.. (2017). Web-Delivered Training to Improve Learning and Achievement for Underrepresented and First-Generation STEM Learners.. 3 indexed citations

14.

Candela, Lori, et al.. (2017). Student motivation, stressors, and intent to leave nursing doctoral study: A national study using path analysis. Nurse Education Today. 61. 210–215. 66 indexed citations

15.

Bernacki, Matthew L., et al.. (2016). Predicting STEM Achievement with Learning Management System Data: Prediction Modeling and a Test of an Early Warning System.. Educational Data Mining. 589–590. 4 indexed citations

16.

Ben‐Eliyahu, Adar & Matthew L. Bernacki. (2015). Context, Contingency, and Dynamic Relations in Self- Regulated Learning. Metacognition and Learning. 1 indexed citations

17.

Richey, J. Elizabeth, Matthew L. Bernacki, Daniel M. Belenky, & Timothy J. Nokes‐Malach. (2014). Relating a Task-Based, Behavioral Measure of Achievement Goals to Self-Reported Goals and Performance in the Classroom. Cognitive Science. 36(36). 1 indexed citations

18.

Fancsali, Stephen E., Matthew L. Bernacki, Timothy J. Nokes‐Malach, Michael Yudelson, & STEVE RITTER. (2014). Goal Orientation, Self-Efficacy, and “Online Measures” in Intelligent Tutoring Systems. Cognitive Science. 36(36). 3 indexed citations

19.

Bernacki, Matthew L. & Elizabeth L. Jaeger. (2008). Exploring the Impact of Service-Learning on Moral Development and Moral Orientation. The Journal of the Abraham Lincoln Association. 14(2). 5–15. 63 indexed citations

20.

Bernacki, Matthew L., et al.. (2008). The Impact of Service Learning on Moral Development and Moral Orientation. Digital Scholarship - UNLV (University of Nevada Reno). 14(2). 5. 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.

Explore authors with similar magnitude of impact