Daniel C. Hyde

2.1k total citations
49 papers, 1.4k citations indexed

About

Daniel C. Hyde is a scholar working on Statistics and Probability, Education and Developmental and Educational Psychology. According to data from OpenAlex, Daniel C. Hyde has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Statistics and Probability, 19 papers in Education and 15 papers in Developmental and Educational Psychology. Recurrent topics in Daniel C. Hyde's work include Cognitive and developmental aspects of mathematical skills (24 papers), Mathematics Education and Teaching Techniques (18 papers) and Reading and Literacy Development (10 papers). Daniel C. Hyde is often cited by papers focused on Cognitive and developmental aspects of mathematical skills (24 papers), Mathematics Education and Teaching Techniques (18 papers) and Reading and Literacy Development (10 papers). Daniel C. Hyde collaborates with scholars based in United States, Italy and China. Daniel C. Hyde's co-authors include Elizabeth S. Spelke, Ross Flom, Susan Carey, Justin N. Wood, David A. Boas, Clancy Blair, Chris L. Porter, Laura Piffer, Yi Mou and Christian Agrillo and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Daniel C. Hyde

49 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel C. Hyde United States 19 878 614 565 508 143 49 1.4k
Michael von Aster Germany 23 1.7k 2.0× 1.3k 2.1× 1.1k 1.9× 544 1.1× 63 0.4× 78 2.2k
Tami Katzir Israel 22 370 0.4× 1.1k 1.8× 528 0.9× 471 0.9× 43 0.3× 72 1.5k
Karin Kucian Switzerland 22 1.6k 1.8× 1.3k 2.2× 939 1.7× 788 1.6× 68 0.5× 59 2.2k
Arlette Pineau France 19 269 0.3× 436 0.7× 136 0.2× 656 1.3× 104 0.7× 39 1.1k
Daniela Lucangeli Italy 27 1.7k 2.0× 1.4k 2.2× 1.5k 2.6× 410 0.8× 73 0.5× 77 2.4k
Jessica M. Namkung United States 16 1.2k 1.3× 764 1.2× 1.0k 1.8× 218 0.4× 121 0.8× 29 1.7k
Stefan Ufer Germany 22 227 0.3× 510 0.8× 979 1.7× 110 0.2× 117 0.8× 84 1.5k
Melissa E. Libertus United States 30 2.7k 3.1× 1.5k 2.4× 2.2k 4.0× 859 1.7× 71 0.5× 100 3.5k
Kathryn Hirsh‐Pasek United States 16 337 0.4× 1.3k 2.1× 444 0.8× 352 0.7× 62 0.4× 22 1.7k
Lara Nugent United States 21 1.9k 2.2× 1.5k 2.5× 1.5k 2.6× 724 1.4× 70 0.5× 33 2.8k

Countries citing papers authored by Daniel C. Hyde

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Hyde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Hyde. 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 Daniel C. Hyde. The network helps show where Daniel C. Hyde may publish in the future.

Co-authorship network of co-authors of Daniel C. Hyde

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Hyde. A scholar is included among the top collaborators of Daniel C. Hyde 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 Daniel C. Hyde. Daniel C. Hyde 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
1.
Moss, Ellen, et al.. (2025). Neural sensitivity to others' belief states in infancy predicts later theory of mind reasoning in childhood. Cortex. 184. 96–105. 2 indexed citations
2.
Berteletti, Ilaria, et al.. (2024). Neural evidence of core foundations and conceptual change in preschool numeracy. Developmental Science. 27(6). e13556–e13556. 1 indexed citations
3.
Hyde, Daniel C., et al.. (2024). Cognitive and motivational numeracy parenting practices: Implications for children’s numeracy engagement during early elementary school.. Developmental Psychology. 60(4). 680–692. 3 indexed citations
4.
Piazza, Manuela, et al.. (2023). Characterizing exact arithmetic abilities before formal schooling. Cognition. 238. 105481–105481. 1 indexed citations
5.
6.
Porter, Chris L., et al.. (2021). Associations between brain and behavioral processing of facial expressions of emotion and sensory reactivity in young children. Developmental Science. 24(6). e13134–e13134. 9 indexed citations
7.
Hyde, Daniel C.. (2021). The Emergence of a Brain Network for Numerical Thinking. Child Development Perspectives. 15(3). 168–175. 11 indexed citations
8.
Hyde, Daniel C., Yi Mou, Ilaria Berteletti, et al.. (2021). Testing the role of symbols in preschool numeracy: An experimental computer-based intervention study. PLoS ONE. 16(11). e0259775–e0259775. 5 indexed citations
9.
Hyde, Daniel C., et al.. (2020). Hemispheric asymmetries in processing numerical meaning in arithmetic. Neuropsychologia. 146. 107524–107524. 3 indexed citations
10.
Hyde, Daniel C., et al.. (2018). Functional Organization of the Temporal–Parietal Junction for Theory of Mind in Preverbal Infants: A Near-Infrared Spectroscopy Study. Journal of Neuroscience. 38(18). 4264–4274. 61 indexed citations
11.
Hyde, Daniel C., et al.. (2016). The relationship between non‐verbal systems of number and counting development: a neural signatures approach. Developmental Science. 20(6). 15 indexed citations
12.
Hyde, Daniel C., Ilaria Berteletti, & Yi Mou. (2016). Approximate numerical abilities and mathematics. Progress in brain research. 227. 335–351. 13 indexed citations
13.
Hanif, Rubina, et al.. (2016). Effects of Non-Symbolic Approximate Number Practice on Symbolic Numerical Abilities in Pakistani Children. PLoS ONE. 11(10). e0164436–e0164436. 27 indexed citations
14.
Hyde, Daniel C., et al.. (2013). Relational congruence facilitates neural mapping of spatial and temporal magnitudes in preverbal infants. Developmental Cognitive Neuroscience. 6. 102–112. 9 indexed citations
15.
Hyde, Daniel C. & Elizabeth S. Spelke. (2011). Spatiotemporal dynamics of processing nonsymbolic number: An event‐related potential source localization study. Human Brain Mapping. 33(9). 2189–2203. 59 indexed citations
16.
Hyde, Daniel C., David A. Boas, Clancy Blair, & Susan Carey. (2010). Near-infrared spectroscopy shows right parietal specialization for number in pre-verbal infants. NeuroImage. 53(2). 647–652. 115 indexed citations
17.
Hyde, Daniel C., Blake L. Jones, Chris L. Porter, & Ross Flom. (2009). Visual stimulation enhances auditory processing in 3‐month‐old infants and adults. Developmental Psychobiology. 52(2). 181–189. 31 indexed citations
18.
Flom, Ross, et al.. (2009). Infants’ intermodal perception of canine (Canis familairis) facial expressions and vocalizations.. Developmental Psychology. 45(4). 1143–1151. 23 indexed citations
19.
Hyde, Daniel C. & Elizabeth S. Spelke. (2008). All Numbers Are Not Equal: An Electrophysiological Investigation of Small and Large Number Representations. Journal of Cognitive Neuroscience. 21(6). 1039–1053. 120 indexed citations
20.
Hyde, Daniel C., G. Schneider, & Christopher Nevison. (1994). Laboratories for Parallel Computing. 12 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Michael von Aster Breakdown of academic impact, for papers by Tami Katzir Breakdown of academic impact, for papers by Karin Kucian Breakdown of academic impact, for papers by Arlette Pineau Breakdown of academic impact, for papers by Daniela Lucangeli Breakdown of academic impact, for papers by Jessica M. Namkung Breakdown of academic impact, for papers by Stefan Ufer Breakdown of academic impact, for papers by Melissa E. Libertus Breakdown of academic impact, for papers by Kathryn Hirsh‐Pasek Breakdown of academic impact, for papers by Lara Nugent
Rankless by CCL
2026