Gabriela Moise
- Experimental and Cognitive Psychology top 10%
- Cognitive Neuroscience top 10%
- Human-Computer Interaction top 5%
- Social Psychology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Alin MoldoveanuFlorica MoldoveanuMarius LeordeanuOana BălanLivia PetrescuMonica VlădoiuS Nicoară
- Topics
- Emotion and Mood Recognition (7 papers)EEG and Brain-Computer Interfaces (7 papers)Heart Rate Variability and Autonomic Control (4 papers)
- Partner nations
- RomaniaUnited Kingdom
In The Last Decade
Gabriela Moise
18 papers receiving 256 citations
Peers
Comparison fields: 5 of 73
- Experimental and Cognitive Psychology 129
- Cognitive Neuroscience 128
- Human-Computer Interaction 58
- Social Psychology 51
- Cardiology and Cardiovascular Medicine 49
Countries citing papers authored by Gabriela Moise
This map shows the geographic impact of Gabriela Moise'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 Gabriela Moise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriela Moise more than expected).
Fields of papers citing papers by Gabriela Moise
This network shows the impact of papers produced by Gabriela Moise. 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 Gabriela Moise. The network helps show where Gabriela Moise may publish in the future.
Co-authorship network of co-authors of Gabriela Moise
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Moise. A scholar is included among the top collaborators of Gabriela Moise 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 Gabriela Moise. Gabriela Moise 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 | 2 | |
| 3 | 18 | |
| 4 | 49 | |
| 5 | 32 | |
| 6 | Automatic Adaptation of Exposure Intensity in VR Acrophobia Therapy, based on Deep Neural Networks. | 7 |
| 7 | 1 | |
| 8 | 63 | |
| 9 | 67 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | Students’ motivation in using virtual learning spaces | 0 |
| 16 | A Survey on the Usage of Substitution Tables in DES and AES Algorithms | 2 |
| 17 | 5 | |
| 18 | 5 | |
| 19 | A rules based on context methodology to build the pedagogical resources | 1 |
| 20 | The role of intelligent agents in online learning environment | 1 |
About Gabriela Moise
Gabriela Moise is a scholar working on Human-Computer Interaction, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 21 papers that have together received 268 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (7 papers), EEG and Brain-Computer Interfaces (7 papers) and Heart Rate Variability and Autonomic Control (4 papers). The work is most often cited by research in Human-Computer Interaction (58 citations), Experimental and Cognitive Psychology (129 citations) and Cognitive Neuroscience (128 citations). Gabriela Moise has collaborated with scholars based in Romania and United Kingdom. Frequent co-authors include Alin Moldoveanu, Florica Moldoveanu, Marius Leordeanu, Oana Bălan, Livia Petrescu, Monica Vlădoiu and S Nicoară. Their work appears in journals such as Sensors, Journal of the Association for Information Systems and Artificial Intelligence Review.
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.