Iulia Lefter

24 papers receiving 270 citations

Peers

Iulia Lefter
Comparison fields: 5 of 67
  • Experimental and Cognitive Psychology 148
  • Signal Processing 66
  • Human-Computer Interaction 21
  • Artificial Intelligence 120
  • Computer Vision and Pattern Recognition 65
Replace Andreas Seiderer with:
Andreas Seiderer Germany
Justin A. MacDonald United States
David Suendermann‐Oeft United States
Séverine Dubuisson France
Bela Usabaev Germany
Jorn Bakker Netherlands
Radu L. Vieriu Italy
Mohammad Faridul Haque Siddiqui United States
Gloria Zen Italy
Behnaz Nojavanasghari United States
Iulia Lefter relative to Andreas Seiderer Germany Andreas Seiderer's profile →
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Citations per year

Countries citing papers authored by Iulia Lefter

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Iulia Lefter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Iulia Lefter Line = papers co-authored together Iulia Lefter links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201543
2 201134
3 202032
4 201329
5 202127
6 201423
7 202114
8 201712
9
Learning the fusion of audio and video aggression assessment by meta-information from human annotations
201210
10 201210
11 20159
12 20209
13 20227
14 20127
15 20105
16 20175
17 20205
18 20174
19 20143
20 20183

About Iulia Lefter

Iulia Lefter is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition and Developmental and Educational Psychology, 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), Speech and Audio Processing (5 papers), Anomaly Detection Techniques and Applications (5 papers), Human Pose and Action Recognition (4 papers), Educational Games and Gamification (4 papers), Digital Games and Media (3 papers) and Sentiment Analysis and Opinion Mining (3 papers). The work is most often cited by research in Experimental and Cognitive Psychology (148 citations), Signal Processing (66 citations), Human-Computer Interaction (21 citations), Artificial Intelligence (120 citations) and Computer Vision and Pattern Recognition (65 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, Catholijn M. Jonker, Frances Brazier, Lukas Stappen, Björn W. Schuller, Ioannis Kompatsiaris and Erik Cambria. Their work appears in journals such as Computers Environment and Urban Systems, Proceedings of the ACM on Human-Computer Interaction, Simulation & Gaming, IEEE Transactions on Affective Computing and Pattern Recognition Letters.

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.

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