Michael Siegal

8.7k citations
122 papers · 5.3k · h-index 39

Impact in

Papers in

Michael Siegal

118 papers receiving 4.8k citations

Peers

Michael Siegal
Comparison fields: 5 of 137
  • Developmental and Educational Psychology 3.0k
  • Cognitive Neuroscience 1.8k
  • Social Psychology 1.5k
  • Language and Linguistics 609
  • Experimental and Cognitive Psychology 770
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Janet Wilde Astington Canada
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Citations per year

Countries citing papers authored by Michael Siegal

Since Specialization
Citations

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

Fields of papers citing papers by Michael Siegal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991340
2 2002291
3 1995275
4 2002228
5 2000215
6 1999214
7 1987196
8
Knowing Children: Experiments in Conversation and Cognition
1991194
9 1996179
10 2005143
11 1992137
12 2002118
13 1988100
14 200497
15 200889
16 200789
17 199889
18 200087
19 198881
20 198880

About Michael Siegal

Michael Siegal is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience, Education, Social Psychology and Sociology and Political Science, having authored 122 papers that have together received 5.3k indexed citations. Recurring topics across this work include Child and Animal Learning Development (55 papers), Psychology of Moral and Emotional Judgment (15 papers), Early Childhood Education and Development (14 papers), Hearing Impairment and Communication (11 papers), Language, Metaphor, and Cognition (10 papers), Language, Discourse, Communication Strategies (10 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers) and Cognitive and developmental aspects of mathematical skills (8 papers). The work is most often cited by research in Developmental and Educational Psychology (3.0k citations), Cognitive Neuroscience (1.8k citations), Social Psychology (1.5k citations), Language and Linguistics (609 citations) and Experimental and Cognitive Psychology (770 citations). Michael Siegal has collaborated with scholars based in United Kingdom, Australia and Italy. Frequent co-authors include Candida C. Peterson, Rosemary Varley, Luca Surian, Karen Beattie, Stephen C. Want, Tyron Woolfe, Peter Newcombe, Yoshihisa Kashima, George Butterworth and Sandra Pellizzoni. Their work appears in journals such as Developmental Psychology, Child Development, Developmental Science, Behavioral and Brain Sciences 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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