Valentin Enescu

752 citations
19 papers · 253 · h-index 7

Impact in

Papers in

Valentin Enescu

19 papers receiving 236 citations

Peers

Valentin Enescu
Comparison fields: 5 of 42
  • Signal Processing 82
  • Experimental and Cognitive Psychology 95
  • Computer Vision and Pattern Recognition 83
  • Artificial Intelligence 124
  • Social Psychology 43
Replace France Mihelič with:
France Mihelič Slovenia
Milan Gnjatović Serbia
Hideki Kashioka Japan
Prithviraj Kabisatpathy India
Zengwei Yao China
Xingnan Zhang China
Monorama Swain India
Esam Ghaleb Netherlands
Li Wern Chew Malaysia
Wen-Li Wei Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Valentin Enescu

Since Specialization
Citations

This map shows the geographic impact of Valentin Enescu'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 Valentin Enescu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentin Enescu more than expected).

Fields of papers citing papers by Valentin Enescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Valentin Enescu. 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 Valentin Enescu. The network helps show where Valentin Enescu may publish in the future.

Co-authors

The 25 scholars most cited alongside Valentin Enescu, 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 Valentin Enescu Line = papers co-authored together Valentin Enescu links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2013112
2
Long-term human-robot interaction with young users
201135
3 200620
4 201518
5 200611
6 20147
7 20027
8
Natural emotion elicitation for emotion modeling in child-robot interactions.
20146
9 20015
10
Spoken Language Processing in a Conversational System for Child-Robot Interaction
20125
11 20175
12 20145
13 20114
14 20033
15 20093
16 20053
17 20092
18
An open source based telecom measurement setup based on commercially available mobile phones
20061
19 20051

About Valentin Enescu

Valentin Enescu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Social Psychology, Experimental and Cognitive Psychology and Control and Systems Engineering, having authored 19 papers that have together received 253 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (6 papers), Emotion and Mood Recognition (4 papers), Face recognition and analysis (4 papers), Social Robot Interaction and HRI (4 papers), Face and Expression Recognition (3 papers), Advanced Vision and Imaging (3 papers), Context-Aware Activity Recognition Systems (2 papers) and Human Motion and Animation (2 papers). The work is most often cited by research in Signal Processing (82 citations), Experimental and Cognitive Psychology (95 citations), Computer Vision and Pattern Recognition (83 citations), Artificial Intelligence (124 citations) and Social Psychology (43 citations). Valentin Enescu has collaborated with scholars based in Belgium, United Kingdom and China. Frequent co-authors include Hichem Sahli, Dongmei Jiang, Longfei Li, Yong Zhao, Geert De Cubber, Yiannis Demiris, Tony Belpaeme, Lola Cañamero, Paul Baxter and Piero Cosi. Their work appears in journals such as IEEE Transactions on Affective Computing, Signal Processing Image Communication, Multimedia Tools and Applications, Integrated Computer-Aided Engineering and ACM Transactions on Interactive Intelligent Systems.

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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