Mario Martinez-Garza
- Developmental and Educational Psychology top 5%
- Education top 10%
- Computer Science Applications top 5%
- Sociology and Political Science
- Artificial Intelligence
- Co-authors
- Douglas B. ClarkBrian C. NelsonCynthia D’AngeloHsin‐Yi ChangStephen S. KillingsworthPratim SenguptaCorey BradyGautam Biswas
- Topics
- Educational Games and Gamification (11 papers)Innovative Teaching and Learning Methods (8 papers)Teaching and Learning Programming (7 papers)
- Partner nations
- United StatesCanadaMexico
In The Last Decade
Mario Martinez-Garza
13 papers receiving 257 citations
Peers
Comparison fields: 5 of 50
- Developmental and Educational Psychology 218
- Education 96
- Computer Science Applications 76
- Sociology and Political Science 45
- Artificial Intelligence 31
Countries citing papers authored by Mario Martinez-Garza
This map shows the geographic impact of Mario Martinez-Garza'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 Mario Martinez-Garza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Martinez-Garza more than expected).
Fields of papers citing papers by Mario Martinez-Garza
This network shows the impact of papers produced by Mario Martinez-Garza. 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 Mario Martinez-Garza. The network helps show where Mario Martinez-Garza may publish in the future.
Co-authorship network of co-authors of Mario Martinez-Garza
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Martinez-Garza. A scholar is included among the top collaborators of Mario Martinez-Garza 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 Mario Martinez-Garza. Mario Martinez-Garza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 9 | |
| 3 | 10 | |
| 4 | 56 | |
| 5 | 3 | |
| 6 | Science Sims and Games: Best Design Practices and Fave Flops | 2 |
| 7 | Digital Games and Science Learning: Design Principles and Processes to Augment Commercial Game Design Conventions. | 1 |
| 8 | 29 | |
| 9 | 2 | |
| 10 | 124 | |
| 11 | 29 | |
| 12 | SURGE: intended and unintended science learning in games | 2 |
| 13 | 6 |
About Mario Martinez-Garza
Mario Martinez-Garza is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Statistics and Probability, having authored 13 papers that have together received 276 indexed citations. Recurring topics across this work include Educational Games and Gamification (11 papers), Innovative Teaching and Learning Methods (8 papers) and Teaching and Learning Programming (7 papers). The work is most often cited by research in Developmental and Educational Psychology (218 citations), Computer Science Applications (76 citations) and Education (96 citations). Mario Martinez-Garza has collaborated with scholars based in United States, Canada and Mexico. Frequent co-authors include Douglas B. Clark, Brian C. Nelson, Cynthia D’Angelo, Hsin‐Yi Chang, Stephen S. Killingsworth, Pratim Sengupta, Corey Brady, Gautam Biswas, John S. Kinnebrew and Jacqueline Barnes. Their work appears in journals such as Computers in Human Behavior, Computers & Education and Studies in Science Education.
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.