Serena Marchesi

764 total citations
20 papers, 293 citations indexed

About

Serena Marchesi is a scholar working on Cognitive Neuroscience, Social Psychology and Safety Research. According to data from OpenAlex, Serena Marchesi has authored 20 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 16 papers in Social Psychology and 4 papers in Safety Research. Recurrent topics in Serena Marchesi's work include Psychology of Moral and Emotional Judgment (14 papers), Social Robot Interaction and HRI (11 papers) and Face Recognition and Perception (5 papers). Serena Marchesi is often cited by papers focused on Psychology of Moral and Emotional Judgment (14 papers), Social Robot Interaction and HRI (11 papers) and Face Recognition and Perception (5 papers). Serena Marchesi collaborates with scholars based in Italy, United Kingdom and Singapore. Serena Marchesi's co-authors include Agnieszka Wykowska, Jairo Pérez-Osorio, Davide Ghiglino, Cesco Willemse, Ebru Baykara, Francesca Ciardo, Nicolas Spatola, Davide De Tommaso, Francesco Bossi and Jacopo Cavazza and has published in prestigious journals such as Scientific Reports, Frontiers in Psychology and Cortex.

In The Last Decade

Serena Marchesi

19 papers receiving 289 citations

Peers

Serena Marchesi
Comparison fields: 5 of 54
  • Social Psychology 208
  • Cognitive Neuroscience 188
  • Artificial Intelligence 48
  • Safety Research 43
  • Sociology and Political Science 35
Replace Jairo Pérez-Osorio with:
Jairo Pérez-Osorio Italy
Sari R. R. Nijssen Netherlands
Sam Thellman Sweden
Debora Zanatto United Kingdom
Shensheng Wang United States
Davide De Tommaso Italy
Burcu A. Ürgen Türkiye
Fuminori Ono Japan
Cesco Willemse Italy
Laura Schmitz Germany
Jairo Pérez-Osorio Italy View profile →
Citations per field, relative to Serena Marchesi
Serena Marchesi · 1×
Citations per year, relative to Serena Marchesi
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Countries citing papers authored by Serena Marchesi

Since Specialization
Citations

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

Fields of papers citing papers by Serena Marchesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Serena Marchesi

This figure shows the co-authorship network connecting the top 25 collaborators of Serena Marchesi. A scholar is included among the top collaborators of Serena Marchesi 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 Serena Marchesi. Serena Marchesi 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
# Work Indexed citations
1 0
2 1
3 2
4 3
5 4
6 2
7 14
8 1
9 22
10 6
11 10
12 3
13 13
14 3
15 45
16 10
17 10
18 111
19 27
20 6

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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