Eleonora Mencarini

442 citations
27 papers · 305 · h-index 9

Impact in

Papers in

Eleonora Mencarini

25 papers receiving 295 citations

Peers

Eleonora Mencarini
Comparison fields: 5 of 78
  • Human-Computer Interaction 131
  • Developmental and Educational Psychology 32
  • Social Psychology 49
  • Computer Science Applications 13
  • Computer Vision and Pattern Recognition 43
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Milka Trajkova United States
Scarlett Herring United States
Anker Helms Jørgensen Denmark
William L. Bewley United States
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Citations per field
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Citations per year

Countries citing papers authored by Eleonora Mencarini

Since Specialization
Citations

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

Fields of papers citing papers by Eleonora Mencarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019114
2 201433
3 201831
4 201718
5 201618
6 202415
7 202315
8 202211
9 20109
10 20166
11 20166
12 20215
13 20165
14 20133
15 20212
16 20142
17 20122
18 20232
19 20212
20 20251

About Eleonora Mencarini

Eleonora Mencarini is a scholar working on Human-Computer Interaction, Sociology and Political Science, Social Psychology, Developmental and Educational Psychology and Information Systems, having authored 27 papers that have together received 305 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (14 papers), Interactive and Immersive Displays (5 papers), Virtual Reality Applications and Impacts (4 papers), Usability and User Interface Design (4 papers), ICT in Developing Communities (2 papers), Teaching and Learning Programming (2 papers), Action Observation and Synchronization (2 papers) and Sport Psychology and Performance (2 papers). The work is most often cited by research in Human-Computer Interaction (131 citations), Developmental and Educational Psychology (32 citations), Social Psychology (49 citations), Computer Science Applications (13 citations) and Computer Vision and Pattern Recognition (43 citations). Eleonora Mencarini has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Massimo Zancanaro, Amon Rapp, Lia Tirabeni, Alessandro Cappelletti, Antonella De Angeli, Chiara Leonardi, Gianluca Schiavo, Paweł W. Woźniak, Oliviero Stock and Anton Fedosov. Their work appears in journals such as International Journal of Human-Computer Studies, interactions, IEEE Transactions on Human-Machine Systems, Sustainability and Futures.

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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