Adriana Tapus

280 total papers · 5.1k total citations
91 papers, 2.2k citations indexed

About

Adriana Tapus is a scholar working on Social Psychology, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Adriana Tapus has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Social Psychology, 33 papers in Computer Vision and Pattern Recognition and 20 papers in Control and Systems Engineering. Recurrent topics in Adriana Tapus's work include Social Robot Interaction and HRI (37 papers), Context-Aware Activity Recognition Systems (12 papers) and Robotics and Sensor-Based Localization (12 papers). Adriana Tapus is often cited by papers focused on Social Robot Interaction and HRI (37 papers), Context-Aware Activity Recognition Systems (12 papers) and Robotics and Sensor-Based Localization (12 papers). Adriana Tapus collaborates with scholars based in France, United States and Switzerland. Adriana Tapus's co-authors include Maja J. Matarić, Cristian Ţăpuş, Amir Aly, Brian Scassellati, Roland Siegwart, François Ferland, Silvia Rossi, Sebastian Pintea, Cristina Pop and Alina S. Rusu and has published in prestigious journals such as Frontiers in Psychology, SAE technical papers on CD-ROM/SAE technical paper series and Pattern Recognition Letters.

In The Last Decade

Adriana Tapus

84 papers receiving 2.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Adriana Tapus 1.2k 770 517 468 342 91 2.2k
David Feil-Seifer 1.4k 1.1× 793 1.0× 459 0.9× 685 1.5× 407 1.2× 86 2.6k
Laurel D. Riek 1.2k 1.0× 756 1.0× 253 0.5× 315 0.7× 260 0.8× 101 2.1k
Astrid Weiss 1.2k 1.0× 725 0.9× 304 0.6× 233 0.5× 407 1.2× 117 2.0k
Britta Wrede 1.7k 1.4× 1.4k 1.8× 558 1.1× 574 1.2× 477 1.4× 174 3.0k
Michael L. Walters 2.4k 2.0× 1.3k 1.7× 376 0.7× 558 1.2× 698 2.0× 65 3.1k
Kheng Lee Koay 2.4k 2.0× 1.4k 1.9× 390 0.8× 414 0.9× 710 2.1× 66 3.0k
Masahiro Shiomi 2.3k 1.9× 1.1k 1.5× 704 1.4× 380 0.8× 823 2.4× 193 3.3k
Yuichiro Yoshikawa 996 0.8× 768 1.0× 238 0.5× 728 1.6× 450 1.3× 192 2.2k
Dag Sverre Syrdal 1.6k 1.3× 949 1.2× 210 0.4× 369 0.8× 431 1.3× 66 2.2k
K. Wada 1.3k 1.0× 599 0.8× 211 0.4× 265 0.6× 379 1.1× 71 2.1k

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

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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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