Adriana Tapus

66 papers and 1.5k indexed citations i.

About

Adriana Tapus is a scholar working on Social Psychology, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Adriana Tapus has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Social Psychology, 23 papers in Computer Vision and Pattern Recognition and 14 papers in Artificial Intelligence. Recurrent topics in Adriana Tapus’s work include Social Robot Interaction and HRI (24 papers), Robotics and Sensor-Based Localization (9 papers) and Context-Aware Activity Recognition Systems (8 papers). Adriana Tapus is often cited by papers focused on Social Robot Interaction and HRI (24 papers), Robotics and Sensor-Based Localization (9 papers) and Context-Aware Activity Recognition Systems (8 papers). Adriana Tapus collaborates with scholars based in France, United States and Switzerland. Adriana Tapus's co-authors include Maja J. Matarić, Amir Aly, Cristian Ţăpuş, Brian Scassellati, Roland Siegwart, François Ferland, Silvia Rossi, Sebastian Pintea, Alina S. Rusu and Daniel O. David and has published in prestigious journals such as SAE technical papers on CD-ROM/SAE technical paper series, Alzheimer s & Dementia and Pattern Recognition Letters.

In The Last Decade

Co-authorship network of co-authors of Adriana Tapus i

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.

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).

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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