Elena Torta

67 total papers · 937 total citations
27 papers, 531 citations indexed

About

Elena Torta is a scholar working on Artificial Intelligence, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, Elena Torta has authored 27 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Social Psychology and 8 papers in Control and Systems Engineering. Recurrent topics in Elena Torta's work include Social Robot Interaction and HRI (9 papers), Reinforcement Learning in Robotics (4 papers) and AI in Service Interactions (3 papers). Elena Torta is often cited by papers focused on Social Robot Interaction and HRI (9 papers), Reinforcement Learning in Robotics (4 papers) and AI in Service Interactions (3 papers). Elena Torta collaborates with scholars based in Netherlands, Italy and Belgium. Elena Torta's co-authors include Raymond H. Cuijpers, René van de Molengraft, James F. Juola, Jos Elfring, Johannes Oberzaucher, Franz Werner, Marco Bazzani, David O. Johnson, Pieter Pauwels and Hadas Lewy and has published in prestigious journals such as Sensors, Automation in Construction and Control Engineering Practice.

In The Last Decade

Elena Torta

23 papers receiving 512 citations

Author Peers

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

Author Last Decade Papers Cites
Elena Torta 213 200 110 102 55 27 531
A. Bley 305 1.4× 183 0.9× 153 1.4× 259 2.5× 68 1.2× 14 607
Michael Volkhardt 220 1.0× 124 0.6× 91 0.8× 213 2.1× 78 1.4× 17 453
François Ferland 259 1.2× 182 0.9× 166 1.5× 169 1.7× 42 0.8× 30 610
Fernándo Alonso-Martín 208 1.0× 181 0.9× 89 0.8× 99 1.0× 17 0.3× 38 479
Rajibul Huq 142 0.7× 109 0.5× 82 0.7× 133 1.3× 95 1.7× 20 551
Pablo Bustos 196 0.9× 136 0.7× 124 1.1× 233 2.3× 12 0.2× 61 580
Raffaele Limosani 160 0.8× 149 0.7× 114 1.0× 166 1.6× 117 2.1× 22 486
Neta Ezer 297 1.4× 135 0.7× 61 0.6× 39 0.4× 66 1.2× 28 533
Travis Deyle 78 0.4× 75 0.4× 115 1.0× 93 0.9× 40 0.7× 22 494
Futoshi Naya 157 0.7× 142 0.7× 81 0.7× 124 1.2× 14 0.3× 45 513

Countries citing papers authored by Elena Torta

Since Specialization
Citations

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

Fields of papers citing papers by Elena Torta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Torta

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Torta. A scholar is included among the top collaborators of Elena Torta 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 Elena Torta. Elena Torta 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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