Marina Cidota
- Human-Computer Interaction top 2%
- Computer Vision and Pattern Recognition top 5%
- Rehabilitation top 5%
- Cognitive Neuroscience
- Biomedical Engineering
- Co-authors
- Stephan LukoschDragoş DatcuHeide LukoschPaulina J.M. BankLéon RothkrantzMark BillinghurstValentijn VischTraian Rebedea
- Topics
- Augmented Reality Applications (13 papers)Virtual Reality Applications and Impacts (12 papers)Stroke Rehabilitation and Recovery (9 papers)
- Journals
- Journal of Medical SystemsComputer Supported Cooperative Work (CSCW)Applied Artificial Intelligence
- Partner nations
- NetherlandsRomaniaAustralia
In The Last Decade
Marina Cidota
25 papers receiving 372 citations
Peers
Comparison fields: 5 of 62
- Human-Computer Interaction 193
- Computer Vision and Pattern Recognition 191
- Rehabilitation 82
- Cognitive Neuroscience 58
- Biomedical Engineering 37
Countries citing papers authored by Marina Cidota
This map shows the geographic impact of Marina Cidota'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 Marina Cidota with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marina Cidota more than expected).
Fields of papers citing papers by Marina Cidota
This network shows the impact of papers produced by Marina Cidota. 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 Marina Cidota. The network helps show where Marina Cidota may publish in the future.
Co-authorship network of co-authors of Marina Cidota
This figure shows the co-authorship network connecting the top 25 collaborators of Marina Cidota. A scholar is included among the top collaborators of Marina Cidota 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 Marina Cidota. Marina Cidota 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 | 17 | |
| 3 | 16 | |
| 4 | 55 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 6 | |
| 8 | 11 | |
| 9 | 21 | |
| 10 | 19 | |
| 11 | 47 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 11 | |
| 15 | 0 | |
| 16 | 15 | |
| 17 | 25 | |
| 18 | 17 | |
| 19 | 26 | |
| 20 | 1 |
About Marina Cidota
Marina Cidota is a scholar working on Human-Computer Interaction, Rehabilitation and Health Informatics, having authored 26 papers that have together received 381 indexed citations. Recurring topics across this work include Augmented Reality Applications (13 papers), Virtual Reality Applications and Impacts (12 papers) and Stroke Rehabilitation and Recovery (9 papers). The work is most often cited by research in Human-Computer Interaction (193 citations), Rehabilitation (82 citations) and Computer Vision and Pattern Recognition (191 citations). Marina Cidota has collaborated with scholars based in Netherlands, Romania and Australia. Frequent co-authors include Stephan Lukosch, Dragoş Datcu, Heide Lukosch, Paulina J.M. Bank, Léon Rothkrantz, Mark Billinghurst, Valentijn Visch, Traian Rebedea, Marius Popescu and Xin Liu. Their work appears in journals such as Journal of Medical Systems, Computer Supported Cooperative Work (CSCW) and Applied Artificial Intelligence.
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.