Pierre Pica

3.6k total citations · 2 hit papers
31 papers, 2.0k citations indexed

About

Pierre Pica is a scholar working on Statistics and Probability, Developmental and Educational Psychology and Language and Linguistics. According to data from OpenAlex, Pierre Pica has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Statistics and Probability, 9 papers in Developmental and Educational Psychology and 7 papers in Language and Linguistics. Recurrent topics in Pierre Pica's work include Cognitive and developmental aspects of mathematical skills (13 papers), Mathematics Education and Teaching Techniques (7 papers) and Child and Animal Learning Development (7 papers). Pierre Pica is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (13 papers), Mathematics Education and Teaching Techniques (7 papers) and Child and Animal Learning Development (7 papers). Pierre Pica collaborates with scholars based in France, United States and Brazil. Pierre Pica's co-authors include Stanislas Dehaene, Véronique Izard, Elizabeth S. Spelke, Cathy Lemer, Manuela Piazza, Marie Amalric, Mariano Sigman, Santiago Figueira, Randolph Blake and Koleen McCrink and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Pierre Pica

25 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Exact and Approximate Arithmetic in an Amazonian Indigene Group

2004 814 citations Pierre Pica, Cathy Lemer et al. Science profile →
Log or Linear? Distinct Intuitions of the Number Scale in Western and Amazonian Indigene Cultures

2008 437 citations Stanislas Dehaene, Elizabeth S. Spelke et al. Science profile →

Peers

Pierre Pica

SP

EDUCA

DEP

CN

ECP

Robert S. Siegler United States

Véronique Izard France

John E. Opfer United States

Hilary Barth United States

Matthew Inglis United Kingdom

Jessica F. Cantlon United States

Cathy Lemer France

Robert S. Moyer United States

David Barner United States

Catherine Sophian United States

Robert S. Siegler United States

Pierre Pica

1.2k ×0.9

SP

1.1k ×1.2

EDUCA

1.1k ×1.3

DEP

262 ×0.6

CN

228 ×0.9

ECP

Citations per year, relative to Pierre Pica Pierre Pica (= 1×) peers Robert S. Siegler

Countries citing papers authored by Pierre Pica

Since Specialization

Citations

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

Fields of papers citing papers by Pierre Pica

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Pica

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Izard, Véronique, Pierre Pica, & Elizabeth S. Spelke. (2022). Visual foundations of Euclidean geometry. Cognitive Psychology. 136. 101494–101494. 6 indexed citations

2.

Amalric, Marie, et al.. (2017). The language of geometry: Fast comprehension of geometrical primitives and rules in human adults and preschoolers. PLoS Computational Biology. 13(1). e1005273–e1005273. 117 indexed citations

3.

Bennis, Hans, Pierre Pica, & Johan Rooryck. (2017). Perspectives on Binding and Atomism. SPIRE - Sciences Po Institutional REpository. 1.

4.

Pica, Pierre, et al.. (2011). Comparing Biological Motion Perception in Two Distinct Human Societies. PLoS ONE. 6(12). e28391–e28391. 20 indexed citations

5.

Izard, Véronique, Pierre Pica, Elizabeth S. Spelke, & Stanislas Dehaene. (2008). Exact Equality and Successor Function: Two Key Concepts on the Path towards Understanding Exact Numbers. Philosophical Psychology. 21(4). 491–505. 66 indexed citations

6.

Izard, Véronique, Pierre Pica, Elizabeth S. Spelke, & Stanislas Dehaene. (2008). Comment les nombres se répartissent dans l’espace. médecine/sciences. 24(12). 1014–1016.

7.

Cruz, Helen De & Pierre Pica. (2008). Knowledge of Number and Knowledge of Language: Number as a Test Case for the Role of Language in Cognition. Philosophical Psychology. 21(4). 437–441. 4 indexed citations

8.

Pica, Pierre, et al.. (2008). Theoretical Implications of the Study of Numbers and Numerals in Mundurucu. Philosophical Psychology. 21(4). 507–522. 8 indexed citations

9.

Dehaene, Stanislas, et al.. (2008). Log or linear? Distinct intuitions of the number scale in Western and Amazonian cultures. 320. 9 indexed citations

10.

Dehaene, Stanislas, et al.. (2006). Core Knowledge of Geometry in an Amazonian Indigene Group. College Mathematics Journal. 37(4). 320–320.

11.

Pica, Pierre, Johan Rooryck, & Jeroen Van Craenenbroeck. (2006). Introduction. 6. v–vi. 1 indexed citations

12.

Craenenbroeck, Jeroen Van, Johan Rooryck, & Pierre Pica. (2005). Introduction. 5. 1–3. 1 indexed citations

13.

Pica, Pierre, Cathy Lemer, Véronique Izard, & Stanislas Dehaene. (2004). Exact and Approximate Arithmetic in an Amazonian Indigene Group. Science. 306(5695). 499–503. 814 indexed citations breakdown →

14.

Pica, Pierre. (2001). Introduction. SPIRE - Sciences Po Institutional REpository. 1. v–xiii. 2 indexed citations

15.

Pica, Pierre, et al.. (1998). A restrictive/Non-Restrictive Distinction in Possessive Nominals. SPIRE - Sciences Po Institutional REpository. 88–101. 1 indexed citations

16.

Pica, Pierre & Johan Rooryck. (1994). "On the development and current status of generative grammar in France : A personal point of view". SPIRE - Sciences Po Institutional REpository. 2 indexed citations

17.

Pica, Pierre. (1985). "Sujet, temps et contenu propositionnel : Pour une conception modulaire des phénomènes de liage". SPIRE - Sciences Po Institutional REpository. 159–193. 1 indexed citations

18.

Pica, Pierre. (1985). Formes. Hommage à Mitsou Ronat. 224. 1 indexed citations

19.

Pica, Pierre. (1984). On the Distinction between Argumental and non-argumental Anaphors. SPIRE - Sciences Po Institutional REpository. 185–193. 9 indexed citations

20.

Pica, Pierre. (1979). Homography or Polysemy. ITL Review of Applied Linguistics. 45-46. 154–180. 1 indexed citations

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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