Daniel Corral

423 citations
28 papers · 263 · h-index 10

Impact in

Papers in

    • Higher Education Research Studies 9
    • School Choice and Performance 4
    • Innovative Teaching and Learning Methods 4
    • Educational Strategies and Epistemologies 4
    • Child and Animal Learning Development 4

Daniel Corral

23 papers receiving 254 citations

Peers

Daniel Corral
Comparison fields: 5 of 58
  • Developmental and Educational Psychology 79
  • Education 130
  • Experimental and Cognitive Psychology 55
  • Computer Science Applications 17
  • Statistics and Probability 23
Replace Aletta Grisay with:
Aletta Grisay Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Corral

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Corral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Daniel Corral, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Corral Line = papers co-authored together Daniel Corral links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201738
2 202135
3 201929
4 201427
5 202020
6 202018
7 202015
8 202015
9 201815
10 20189
11 20196
12 20246
13 20216
14 20196
15 20234
16 20173
17 20223
18
Learning of Relational Categories as a Function of Higher-Order Structure
20122
19 20222
20 20231

About Daniel Corral

Daniel Corral is a scholar working on Education, Developmental and Educational Psychology, Artificial Intelligence, Experimental and Cognitive Psychology and Cognitive Neuroscience, having authored 28 papers that have together received 263 indexed citations. Recurring topics across this work include Higher Education Research Studies (9 papers), Visual and Cognitive Learning Processes (6 papers), Memory Processes and Influences (5 papers), Innovative Teaching and Learning Methods (4 papers), Educational Strategies and Epistemologies (4 papers), School Choice and Performance (4 papers), Advanced Text Analysis Techniques (4 papers) and Child and Animal Learning Development (4 papers). The work is most often cited by research in Developmental and Educational Psychology (79 citations), Education (130 citations), Experimental and Cognitive Psychology (55 citations), Computer Science Applications (17 citations) and Statistics and Probability (23 citations). Daniel Corral has collaborated with scholars based in United States and Canada. Frequent co-authors include Nicholas Hillman, Shana K. Carpenter, Matt Jones, Kam Leung Yeung, Douglas A. Gentile, Kyle Perkins, Kenneth J. Kurtz, Matt Jones, Alice F. Healy and Abraham M. Rutchick. Their work appears in journals such as Quarterly Journal of Experimental Psychology, Cognitive Research Principles and Implications, Cognition, Review of higher education/˜The œreview of higher education and Journal of Applied Research in Memory and Cognition.

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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