Roberto Martínez‐Maldonado
- Computer Science Applications top 0.05%
- Developmental and Educational Psychology top 1%
- Artificial Intelligence top 1%
- Education top 1%
- Information Systems top 1%
- Co-authors
- Simon Buckingham ShumDragan GaševićJudy KayVanessa EcheverríaLixiang YanKalina YacefGuanliang ChenLinxuan Zhao
- Topics
- Online Learning and Analytics (82 papers)Innovative Teaching and Learning Methods (49 papers)Online and Blended Learning (28 papers)
In The Last Decade
Roberto Martínez‐Maldonado
152 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Computer Science Applications 1.8k
- Developmental and Educational Psychology 943
- Artificial Intelligence 912
- Education 900
- Information Systems 513
Countries citing papers authored by Roberto Martínez‐Maldonado
This map shows the geographic impact of Roberto Martínez‐Maldonado'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 Roberto Martínez‐Maldonado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Martínez‐Maldonado more than expected).
Fields of papers citing papers by Roberto Martínez‐Maldonado
This network shows the impact of papers produced by Roberto Martínez‐Maldonado. 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 Roberto Martínez‐Maldonado. The network helps show where Roberto Martínez‐Maldonado may publish in the future.
Co-authorship network of co-authors of Roberto Martínez‐Maldonado
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Martínez‐Maldonado. A scholar is included among the top collaborators of Roberto Martínez‐Maldonado 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 Roberto Martínez‐Maldonado. Roberto Martínez‐Maldonado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 28 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 25 | |
| 14 | 23 | |
| 15 | 10 | |
| 16 | 13 | |
| 17 | 38 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | Data Mining in the Classroom: Discovering Groups' Strategies at a Multi-tabletop Environment | 26 |
About Roberto Martínez‐Maldonado
Roberto Martínez‐Maldonado is a scholar working on Computer Science Applications, Health Informatics and Developmental and Educational Psychology, having authored 162 papers that have together received 3.5k indexed citations. Recurring topics across this work include Online Learning and Analytics (82 papers), Innovative Teaching and Learning Methods (49 papers) and Online and Blended Learning (28 papers). The work is most often cited by research in Computer Science Applications (1.8k citations), Health Informatics (323 citations) and Developmental and Educational Psychology (943 citations). Roberto Martínez‐Maldonado has collaborated with scholars based in Australia, Ecuador and Spain. Frequent co-authors include Simon Buckingham Shum, Dragan Gašević, Judy Kay, Vanessa Echeverría, Lixiang Yan, Kalina Yacef, Guanliang Chen, Linxuan Zhao, Yueqiao Jin and Simon Knight. Their work appears in journals such as Journal of Educational Psychology, Computers in Human Behavior and Computers & 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.