Adriana Tapus

5.1k citations
93 papers · 2.2k indexed · h-index 23
Topics
Social Robot Interaction and HRI (37 papers)Context-Aware Activity Recognition Systems (12 papers)Robotics and Sensor-Based Localization (12 papers)

In The Last Decade

Adriana Tapus

86 papers receiving 2.1k citations

Peers

Adriana Tapus
Comparison fields: 5 of 109
  • Social Psychology 1.2k
  • Artificial Intelligence 782
  • Computer Vision and Pattern Recognition 522
  • Cognitive Neuroscience 470
  • Control and Systems Engineering 353
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Countries citing papers authored by Adriana Tapus

Since Specialization
Citations

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

Fields of papers citing papers by Adriana Tapus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adriana Tapus

This figure shows the co-authorship network connecting the top 25 collaborators of Adriana Tapus. A scholar is included among the top collaborators of Adriana Tapus 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 Adriana Tapus. Adriana Tapus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 2
6
Towards Cross-Cultural Intelligent vehicles: A review
3
7 7
8 0
9 10
10 6
11 54
12
Postural expressions of emotions in a humanoid robot for assistive applications
8
13 129
14
Socially Assistive Robotic Music Therapist for Maintaining Attention of Older Adults with Cognitive Impairments
10
15
Socially Assistive Robots: The Link between Personality, Empathy, Physiological Signals, and Task Performance
70
16
Using a Socially Assistive Robot in Gait Recovery and Training for Individuals with Cognitive Impairments
1
17 52
18
Towards Active Learning for Socially Assistive Robots
7
19 1
20 7

About Adriana Tapus

Adriana Tapus is a scholar working on Social Psychology, Computer Vision and Pattern Recognition and Human-Computer Interaction, having authored 93 papers that have together received 2.2k indexed citations. Recurring topics across this work include Social Robot Interaction and HRI (37 papers), Context-Aware Activity Recognition Systems (12 papers) and Robotics and Sensor-Based Localization (12 papers). The work is most often cited by research in Social Psychology (1.2k citations), Human-Computer Interaction (232 citations) and Occupational Therapy (135 citations). Adriana Tapus has collaborated with scholars based in France, United States and Switzerland. Frequent co-authors include Maja J. Matarić, Cristian Ţăpuş, Amir Aly, Brian Scassellati, Roland Siegwart, François Ferland, Silvia Rossi, Sebastian Pintea, Daniel O. David and Cristina Pop. Their work appears in journals such as Frontiers in Psychology, SAE technical papers on CD-ROM/SAE technical paper series 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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