Laura Malinverni
- Human-Computer Interaction top 1%
- Education top 5%
- Cognitive Neuroscience top 10%
- Developmental and Educational Psychology top 5%
- Computer Science Applications top 5%
- Co-authors
- Narcís ParésMarie-Monique SchaperJoan Mora-GuiardAmaia HervásElisa RubegniMaría SantosKatta SpielChristopher Frauenberger
- Topics
- Innovative Human-Technology Interaction (24 papers)Child Development and Digital Technology (11 papers)Teaching and Learning Programming (6 papers)
- Journals
- Computers in Human BehaviorInternational Journal of Human-Computer StudiesEducational Technology Research and Development
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Laura Malinverni
36 papers receiving 814 citations
Peers
Comparison fields: 5 of 94
- Human-Computer Interaction 375
- Education 273
- Cognitive Neuroscience 243
- Developmental and Educational Psychology 171
- Computer Science Applications 100
Countries citing papers authored by Laura Malinverni
This map shows the geographic impact of Laura Malinverni'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 Laura Malinverni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Malinverni more than expected).
Fields of papers citing papers by Laura Malinverni
This network shows the impact of papers produced by Laura Malinverni. 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 Laura Malinverni. The network helps show where Laura Malinverni may publish in the future.
Co-authorship network of co-authors of Laura Malinverni
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Malinverni. A scholar is included among the top collaborators of Laura Malinverni 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 Laura Malinverni. Laura Malinverni 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 | 6 | |
| 3 | 2 | |
| 4 | 24 | |
| 5 | 10 | |
| 6 | 20 | |
| 7 | 31 | |
| 8 | 14 | |
| 9 | 5 | |
| 10 | 20 | |
| 11 | 61 | |
| 12 | 13 | |
| 13 | 56 | |
| 14 | 20 | |
| 15 | 13 | |
| 16 | 126 | |
| 17 | 23 | |
| 18 | 21 | |
| 19 | Learning of Abstract Concepts through Full-Body Interaction: A Systematic Review | 51 |
| 20 | 18 |
About Laura Malinverni
Laura Malinverni is a scholar working on Human-Computer Interaction, Computer Science Applications and Management of Technology and Innovation, having authored 36 papers that have together received 832 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (24 papers), Child Development and Digital Technology (11 papers) and Teaching and Learning Programming (6 papers). The work is most often cited by research in Human-Computer Interaction (375 citations), Computer Science Applications (100 citations) and Occupational Therapy (61 citations). Laura Malinverni has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Narcís Parés, Marie-Monique Schaper, Joan Mora-Guiard, Amaia Hervás, Elisa Rubegni, María Santos, Katta Spiel, Christopher Frauenberger, Judith Good and Jason Yip. Their work appears in journals such as Computers in Human Behavior, International Journal of Human-Computer Studies and Educational Technology Research and Development.
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.