Anna Laura Sforza

471 citations
7 papers · 369 indexed · h-index 7
Topics
Action Observation and Synchronization (5 papers)Face Recognition and Perception (3 papers)Aesthetic Perception and Analysis (2 papers)

In The Last Decade

Anna Laura Sforza

7 papers receiving 364 citations

Peers

Anna Laura Sforza
Comparison fields: 5 of 42
  • Cognitive Neuroscience 241
  • Social Psychology 226
  • Human-Computer Interaction 150
  • Psychiatry and Mental health 96
  • Experimental and Cognitive Psychology 66
Replace Maria Pyasik with:
Maria Pyasik Italy
Peter Lush United Kingdom
Petr Grivaz Switzerland
Adrian Alsmith United Kingdom
Miranda Smit Netherlands
H. Henrik Ehrsson Sweden
Ilaria Bufalari Italy
Zakaryah Abdulkarim Sweden
Alessia Folegatti Italy
Silvia Ubaldi Italy
Anna Laura Sforza relative to Maria Pyasik Italy Maria Pyasik's profile →
Citations per field
00.5×4.8×
Maria Pyasik · 1×
Citations per year

Countries citing papers authored by Anna Laura Sforza

Since Specialization
Citations

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

Fields of papers citing papers by Anna Laura Sforza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna Laura Sforza. 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 Anna Laura Sforza. The network helps show where Anna Laura Sforza may publish in the future.

Co-authorship network of co-authors of Anna Laura Sforza

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Laura Sforza. A scholar is included among the top collaborators of Anna Laura Sforza 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 Anna Laura Sforza. Anna Laura Sforza is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 10
2 24
3 22
4 40
5 16
6 185
7 72

About Anna Laura Sforza

Anna Laura Sforza is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Social Psychology, having authored 7 papers that have together received 369 indexed citations. Recurring topics across this work include Action Observation and Synchronization (5 papers), Face Recognition and Perception (3 papers) and Aesthetic Perception and Analysis (2 papers). The work is most often cited by research in Human-Computer Interaction (150 citations), Cognitive Neuroscience (241 citations) and Social Psychology (226 citations). Anna Laura Sforza has collaborated with scholars based in Italy, Switzerland and Australia. Frequent co-authors include Salvatore Maria Aglioti, Ilaria Bufalari, Patrick Haggard, Ilaria Minio-Paluello, Alessio Avenanti, Olaf Blanke, Silvio Ionta, Matteo Candidi, Marco Tullio Liuzza and Mariia Kaliuzhna. Their work appears in journals such as Scientific Reports, European Journal of Neuroscience and Biological Psychology.

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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