Daniel C. Hyde
Impact in
- Statistics and Probability top 0.5%
- Cognitive and developmental aspects of mathematical skills
-
- Reading and Literacy Development
- Child and Animal Learning Development
Papers in
-
- Cognitive and developmental aspects of mathematical skills 25
- Education 20
- Mathematics Education and Teaching Techniques 19
- Education Methods and Practices 5
- Co-authors
- Elizabeth S. Spelke (8 shared papers)Ross Flom (6 shared papers)Clancy Blair (1 shared paper)David A. Boas (1 shared paper)Susan Carey (1 shared paper)Justin N. Wood (1 shared paper)Yi Mou (7 shared papers)Laura Piffer (1 shared paper)
- Journals
- Developmental Science (5 papers)Developmental Psychobiology (3 papers)Neuropsychologia (2 papers)Cognition (2 papers)Developmental Psychology (2 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
Daniel C. Hyde
51 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 99
- Statistics and Probability 965
- Developmental and Educational Psychology 664
- Cognitive Neuroscience 525
- Education 618
- Theoretical Computer Science 21
Countries citing papers authored by Daniel C. Hyde
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
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-authors
The 25 scholars most cited alongside Daniel C. Hyde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 191 | |
| 2 | 2011 | 148 | |
| 3 | 2008 | 134 | |
| 4 | 2010 | 129 | |
| 5 | 2010 | 127 | |
| 6 | 2014 | 79 | |
| 7 | 2011 | 74 | |
| 8 | 2018 | 71 | |
| 9 | 2011 | 62 | |
| 10 | 2010 | 60 | |
| 11 | 2015 | 43 | |
| 12 | 2011 | 40 | |
| 13 | 2015 | 39 | |
| 14 | 2009 | 33 | |
| 15 | 2016 | 31 | |
| 16 | 2009 | 24 | |
| 17 | 2010 | 23 | |
| 18 | 2017 | 20 | |
| 19 | 2020 | 19 | |
| 20 | 2016 | 16 |
About Daniel C. Hyde
Daniel C. Hyde is a scholar working on Statistics and Probability, Education, Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (25 papers), Mathematics Education and Teaching Techniques (19 papers), Reading and Literacy Development (11 papers), Child and Animal Learning Development (7 papers), Education Methods and Practices (5 papers), Experimental Learning in Engineering (5 papers), Multisensory perception and integration (4 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Statistics and Probability (965 citations), Developmental and Educational Psychology (664 citations), Cognitive Neuroscience (525 citations), Education (618 citations) and Theoretical Computer Science (21 citations). Daniel C. Hyde has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Elizabeth S. Spelke, Ross Flom, Clancy Blair, David A. Boas, Susan Carey, Justin N. Wood, Yi Mou, Laura Piffer, Christian Agrillo and Chris L. Porter. Their work appears in journals such as Developmental Science, Developmental Psychobiology, Neuropsychologia, Cognition and Developmental 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.