Daniel John Carroll

47 papers receiving 1.4k citations

Peers

Daniel John Carroll
Comparison fields: 5 of 129
  • Developmental and Educational Psychology 450
  • General Decision Sciences 54
  • Radiological and Ultrasound Technology 99
  • Cognitive Neuroscience 268
  • Experimental and Cognitive Psychology 173
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Citations per year

Countries citing papers authored by Daniel John Carroll

Since Specialization
Citations

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

Fields of papers citing papers by Daniel John Carroll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel John Carroll, 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 John Carroll Line = papers co-authored together Daniel John Carroll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Findings from the National Agricultural Workers Survey (NAWS), 1997-1998: A Demographic and Employment Profile of United States Farmworkers.
2000242
2 2006172
3 2000132
4 2003123
5 2009117
6 201578
7 201562
8 200941
9 201540
10 200937
11 201331
12 201730
13 202029
14 201329
15 201028
16 201927
17 201626
18 200825
19 201323
20 201315

About Daniel John Carroll

Daniel John Carroll is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology, Cognitive Neuroscience, Statistics and Probability and Clinical Psychology, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Child and Animal Learning Development (19 papers), Behavioral and Psychological Studies (7 papers), Early Childhood Education and Development (7 papers), Agriculture and Farm Safety (7 papers), Cognitive and developmental aspects of mathematical skills (6 papers), Child and Adolescent Psychosocial and Emotional Development (6 papers), Cognitive Abilities and Testing (4 papers) and Neural and Behavioral Psychology Studies (3 papers). The work is most often cited by research in Developmental and Educational Psychology (450 citations), General Decision Sciences (54 citations), Radiological and Ultrasound Technology (99 citations), Cognitive Neuroscience (268 citations) and Experimental and Cognitive Psychology (173 citations). Daniel John Carroll has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Stephen A. McCurdy, Ian A. Apperly, Emma Blakey, Susan Gabbard, Sarah R. Beck, Elizabeth J. Robinson, Melissa Glenda Lewis, Kala M. Mehta, Richard O. Mines and Steven J. Samuels. Their work appears in journals such as Child Development, Journal of Experimental Child Psychology, American Journal of Industrial Medicine, Journal of Immigrant and Minority Health and Frontiers in 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.

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