Mimi Recker

2.6k total citations
112 papers, 1.4k citations indexed

About

Mimi Recker is a scholar working on Computer Science Applications, Education and Developmental and Educational Psychology. According to data from OpenAlex, Mimi Recker has authored 112 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Science Applications, 35 papers in Education and 26 papers in Developmental and Educational Psychology. Recurrent topics in Mimi Recker's work include Online Learning and Analytics (24 papers), Online and Blended Learning (24 papers) and Innovative Teaching and Learning Methods (24 papers). Mimi Recker is often cited by papers focused on Online Learning and Analytics (24 papers), Online and Blended Learning (24 papers) and Innovative Teaching and Learning Methods (24 papers). Mimi Recker collaborates with scholars based in United States, China and New Zealand. Mimi Recker's co-authors include James E. Pitkow, Peter Pirolli, David Wiley, Kimberly A. Lawless, Heather Leary, Andrew Walker, Victor R. Lee, Lei Ye, M. Brooke Robertshaw and Laurie Miller Nelson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers & Education and Sensors.

In The Last Decade

Mimi Recker

104 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mimi Recker United States 20 563 431 419 380 228 112 1.4k
Τhanasis Daradoumis Spain 20 722 1.3× 454 1.1× 496 1.2× 320 0.8× 481 2.1× 115 1.7k
Vassilis Komis Greece 23 458 0.8× 916 2.1× 641 1.5× 438 1.2× 214 0.9× 111 1.9k
Zaidatun Tasir Malaysia 23 539 1.0× 933 2.2× 377 0.9× 394 1.0× 192 0.8× 142 1.7k
Jui-Long Hung United States 20 585 1.0× 412 1.0× 218 0.5× 299 0.8× 267 1.2× 54 1.2k
Chen‐Chung Liu Taiwan 21 516 0.9× 671 1.6× 753 1.8× 363 1.0× 205 0.9× 61 1.6k
Mohamed Amine Chatti Germany 18 1.2k 2.2× 593 1.4× 307 0.7× 417 1.1× 273 1.2× 45 1.8k
Hans Hummel Netherlands 21 462 0.8× 460 1.1× 740 1.8× 358 0.9× 261 1.1× 71 1.5k
Tak-Wai Chan Taiwan 18 411 0.7× 548 1.3× 762 1.8× 529 1.4× 381 1.7× 97 1.6k
Sally Fincher United Kingdom 23 845 1.5× 312 0.7× 442 1.1× 406 1.1× 132 0.6× 109 1.5k
Alejandra Martínez‐Monés Spain 21 991 1.8× 832 1.9× 917 2.2× 490 1.3× 262 1.1× 107 2.2k

Countries citing papers authored by Mimi Recker

Since Specialization
Citations

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

Fields of papers citing papers by Mimi Recker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mimi Recker

This figure shows the co-authorship network connecting the top 25 collaborators of Mimi Recker. A scholar is included among the top collaborators of Mimi Recker 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 Mimi Recker. Mimi Recker 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.
Beck, K., et al.. (2023). Facilitating Mathematics and Computer Science Connections: A Cross Curricular Approach. International Journal of Education in Mathematics Science and Technology. 12(1). 85–98. 2 indexed citations
2.
Jacobs, Jennifer, et al.. (2021). A Professional Development Model to Integrate Computational Thinking Into Middle School Science Through Codesigned Storylines. Contemporary issues in technology and teacher education. 21(1). 53–96. 19 indexed citations
3.
Leary, Heather, Victor R. Lee, & Mimi Recker. (2021). It’s More Than Just Technology Adoption: Understanding Variations in Teachers’ Use of an Online Planning Tool. TechTrends. 65(3). 269–277. 3 indexed citations
4.
Lee, Victor R., et al.. (2018). Conjecture Mapping the Library: Iterative Refinements Toward Supporting Maker Learning Activities in Small Community Spaces. Digital Commons - USU (Utah State University). 1. 1–8. 6 indexed citations
5.
Recker, Mimi, et al.. (2016). Hierarchical Cluster Analysis Heatmaps and Pattern Analysis: An Approach for Visualizing Learning Management System Interaction Data.. Educational Data Mining. 603–604. 14 indexed citations
6.
Lee, Kyumin, et al.. (2016). Exploring Learning Management System Interaction Data: Combining Data-Driven and Theory-Driven Approaches.. Educational Data Mining. 324–329. 4 indexed citations
7.
Recker, Mimi, et al.. (2015). Do Rubrics Help? An Exploratory Study of Teachers’ Perception and Use of Rubrics for Evaluating Open Educational Resource Quality. Society for Information Technology & Teacher Education International Conference. 2015(1). 1424–1431. 1 indexed citations
8.
Walker, Andrew, et al.. (2012). Designing for problem-based learning: A comparative study of technology professional development. Digital Commons - USU (Utah State University). 2(5). 510–520. 3 indexed citations
9.
Recker, Mimi, et al.. (2010). Peer Production of Online Learning Resources: A Social Network Analysis. Digital Commons - USU (Utah State University). 315–316. 4 indexed citations
10.
Recker, Mimi, et al.. (2010). Where in the World? Demographic Patterns in Access Data. Digital Commons - USU (Utah State University). 337–338. 2 indexed citations
11.
Recker, Mimi, et al.. (2005). Building Accessible Educational Web Sites: The Law, Standards, Guidelines, Tools, and Lessons Learned.. 2004(1). 1 indexed citations
12.
Recker, Mimi, et al.. (2004). Discovery and Use of Online Learning Resources: Case Study Findings. Educational Technology & Society. 7(2). 93–104. 49 indexed citations
13.
Recker, Mimi, et al.. (2004). A needs analysis of the computer and information literacy (cil) requirement at utah state university. PharmacoEconomics. 12(2 Pt 1). 121–9. 1 indexed citations
14.
Recker, Mimi, et al.. (2003). Supporting ???Word-of-Mouth??? Social Networks Through Collaborative Information Filtering. Digital Commons - USU (Utah State University). 14(1). 79–98. 18 indexed citations
15.
Recker, Mimi, et al.. (2003). Development and Evaluation of Digital Library Services: Theory and Practice. Digital Commons - USU (Utah State University). 29(3). 107–118. 4 indexed citations
16.
Recker, Mimi, et al.. (2002). A concept-first approach for an introductory computer science course. Digital Commons - USU (Utah State University). 18(2). 6–16. 2 indexed citations
17.
Recker, Mimi, et al.. (1998). Cognitive Media and Hypermedia Learning Environment Design: A GOMS Model Analysis. International Journal of Artificial Intelligence in Education. 9(1). 1–16. 1 indexed citations
18.
Recker, Mimi. (1997). Appropriate Use of Educational Technologies: A Layered Approach. Lasers in Surgery and Medicine. 7(1). 9–13. 2 indexed citations
19.
Recker, Mimi, et al.. (1995). Cognitive media types for multimedia information access. Digital Commons - USU (Utah State University). 4(2). 183–210. 23 indexed citations
20.
Recker, Mimi, et al.. (1977). Basic training of operational personnel for nuclear power plants. Transactions of the American Nuclear Society. 1 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

Rankless by CCL
2026