Iulia Lefter
- Experimental and Cognitive Psychology top 10%
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition top 10%
- Social Psychology
- Co-authors
- Léon RothkrantzGertjan J. BurghoutsPascal WiggersDavid A. van LeeuwenFrances BrazierCatholijn M. JonkerBjörn W. SchullerLukas Stappen
- Topics
- Emotion and Mood Recognition (13 papers)Music and Audio Processing (9 papers)Speech and Audio Processing (5 papers)
- Journals
- Pattern Recognition LettersComputers Environment and Urban SystemsIEEE Transactions on Affective Computing
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Iulia Lefter
24 papers receiving 270 citations
Peers
Comparison fields: 5 of 67
- Experimental and Cognitive Psychology 148
- Artificial Intelligence 120
- Signal Processing 66
- Computer Vision and Pattern Recognition 65
- Social Psychology 60
Countries citing papers authored by Iulia Lefter
This map shows the geographic impact of Iulia Lefter'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 Iulia Lefter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iulia Lefter more than expected).
Fields of papers citing papers by Iulia Lefter
This network shows the impact of papers produced by Iulia Lefter. 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 Iulia Lefter. The network helps show where Iulia Lefter may publish in the future.
Co-authorship network of co-authors of Iulia Lefter
This figure shows the co-authorship network connecting the top 25 collaborators of Iulia Lefter. A scholar is included among the top collaborators of Iulia Lefter 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 Iulia Lefter. Iulia Lefter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 32 | |
| 7 | 12 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 43 | |
| 11 | 9 | |
| 12 | 23 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 29 | |
| 16 | Learning the fusion of audio and video aggression assessment by meta-information from human annotations | 10 |
| 17 | 7 | |
| 18 | 2 | |
| 19 | 34 | |
| 20 | 5 |
About Iulia Lefter
Iulia Lefter is a scholar working on Experimental and Cognitive Psychology, Signal Processing and Human-Computer Interaction, having authored 27 papers that have together received 302 indexed citations. Recurring topics across this work include Emotion and Mood Recognition (13 papers), Music and Audio Processing (9 papers) and Speech and Audio Processing (5 papers). The work is most often cited by research in Experimental and Cognitive Psychology (148 citations), Signal Processing (66 citations) and Human-Computer Interaction (21 citations). Iulia Lefter has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Léon Rothkrantz, Gertjan J. Burghouts, Pascal Wiggers, David A. van Leeuwen, Frances Brazier, Catholijn M. Jonker, Björn W. Schuller, Lukas Stappen, Ioannis Kompatsiaris and Stephan Lukosch. Their work appears in journals such as Pattern Recognition Letters, Computers Environment and Urban Systems and IEEE Transactions on Affective Computing.
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.