Gualtiero Piccinini

5.0k citations
75 papers · 2.0k indexed · h-index 27
Topics
Computability, Logic, AI Algorithms (33 papers)Philosophy and History of Science (29 papers)Philosophy and Theoretical Science (23 papers)

In The Last Decade

Gualtiero Piccinini

72 papers receiving 1.8k citations

Peers

Gualtiero Piccinini
Comparison fields: 5 of 118
  • Cognitive Neuroscience 1.0k
  • History and Philosophy of Science 692
  • Computational Theory and Mathematics 584
  • Experimental and Cognitive Psychology 462
  • Artificial Intelligence 325
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Citations per field
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Citations per year

Countries citing papers authored by Gualtiero Piccinini

Since Specialization
Citations

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

Fields of papers citing papers by Gualtiero Piccinini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gualtiero Piccinini

This figure shows the co-authorship network connecting the top 25 collaborators of Gualtiero Piccinini. A scholar is included among the top collaborators of Gualtiero Piccinini 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 Gualtiero Piccinini. Gualtiero Piccinini 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
#WorkIndexed citations
1 0
2 0
3 18
4 22
5 3
6 21
7
Conceived This Way: Innateness Defended
6
8 8
9 5
10 18
11
Scientific Methods Must Be Public, and Descriptive Experience Sampling Qualifies
1
12 1
13 3
14 6
15 2
16
First Person Data, Publicity and Self-Measurement
14
17 23
18 83
19 76
20
Data from introspective reports: Upgrading from common sense to science
27

About Gualtiero Piccinini

Gualtiero Piccinini is a scholar working on History and Philosophy of Science, Experimental and Cognitive Psychology and Computational Theory and Mathematics, having authored 75 papers that have together received 2.0k indexed citations. Recurring topics across this work include Computability, Logic, AI Algorithms (33 papers), Philosophy and History of Science (29 papers) and Philosophy and Theoretical Science (23 papers). The work is most often cited by research in History and Philosophy of Science (692 citations), Cognitive Neuroscience (1.0k citations) and Computational Theory and Mathematics (584 citations). Gualtiero Piccinini has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Andrea Scarantino, Carl F. Craver, Sonya Bahar, Corey J. Maley, Sam Scott, Justin Garson, Eric E. Thomson, Matteo Colombo, Oron Shagrir and Armin W. Schulz. Their work appears in journals such as Current Opinion in Neurobiology, Behavioral and Brain Sciences and Neural Networks.

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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