Deborah Zaitchik

3.5k total citations
29 papers, 2.5k citations indexed

About

Deborah Zaitchik is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Social Psychology. According to data from OpenAlex, Deborah Zaitchik has authored 29 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Developmental and Educational Psychology, 16 papers in Cognitive Neuroscience and 4 papers in Social Psychology. Recurrent topics in Deborah Zaitchik's work include Child and Animal Learning Development (21 papers), Memory and Neural Mechanisms (9 papers) and Face Recognition and Perception (5 papers). Deborah Zaitchik is often cited by papers focused on Child and Animal Learning Development (21 papers), Memory and Neural Mechanisms (9 papers) and Face Recognition and Perception (5 papers). Deborah Zaitchik collaborates with scholars based in United States. Deborah Zaitchik's co-authors include Susan Carey, Helen Tager‐Flusberg, Kathleen E. Sullivan, Beate Sodian, Gregg E. A. Solomon, Elissa Koff, Susan Johnson, Ella Daly, Jeanette Günther and Marilyn Albert and has published in prestigious journals such as Child Development, Psychological Science and Developmental Psychology.

In The Last Decade

Deborah Zaitchik

28 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deborah Zaitchik United States 19 1.3k 831 604 485 442 29 2.5k
Sujin Yang South Korea 23 832 0.6× 693 0.8× 380 0.6× 319 0.7× 277 0.6× 76 2.1k
Giovanni Sala United Kingdom 23 786 0.6× 700 0.8× 300 0.5× 394 0.8× 230 0.5× 58 2.2k
Michaël Stevens Belgium 21 1.2k 0.9× 1.8k 2.2× 320 0.5× 238 0.5× 295 0.7× 28 3.3k
F. Richard Ferraro United States 29 558 0.4× 1.2k 1.5× 439 0.7× 171 0.4× 327 0.7× 151 2.8k
Simona Ghetti United States 37 1.7k 1.3× 2.6k 3.2× 564 0.9× 277 0.6× 185 0.4× 122 4.2k
J. Bruce Morton Canada 26 898 0.7× 1.4k 1.7× 190 0.3× 262 0.5× 198 0.4× 58 2.4k
Alexander R. Luria Japan 9 1.1k 0.8× 1.4k 1.7× 363 0.6× 291 0.6× 377 0.9× 12 2.8k
Astrid F. Fry United States 11 711 0.5× 1.0k 1.2× 292 0.5× 161 0.3× 283 0.6× 12 2.8k
Paul Whitney United States 29 697 0.5× 1.3k 1.6× 424 0.7× 162 0.3× 154 0.3× 76 3.0k
Marilyn C. Welsh United States 21 1.2k 0.9× 1.5k 1.7× 187 0.3× 409 0.8× 1.3k 2.9× 36 3.5k

Countries citing papers authored by Deborah Zaitchik

Since Specialization
Citations

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

Fields of papers citing papers by Deborah Zaitchik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deborah Zaitchik

This figure shows the co-authorship network connecting the top 25 collaborators of Deborah Zaitchik. A scholar is included among the top collaborators of Deborah Zaitchik 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 Deborah Zaitchik. Deborah Zaitchik 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
2.
Bascandziev, Igor, et al.. (2018). The role of domain-general cognitive resources in children’s construction of a vitalist theory of biology. Cognitive Psychology. 104. 1–28. 31 indexed citations
3.
Bascandziev, Igor, et al.. (2017). Some consequences of normal aging for generating conceptual explanations: A case study of vitalist biology. Cognitive Psychology. 95. 145–163. 10 indexed citations
4.
Carey, Susan, Deborah Zaitchik, & Igor Bascandziev. (2015). Theories of development: In dialog with Jean Piaget. Developmental Review. 38. 36–54. 53 indexed citations
5.
Zaitchik, Deborah, et al.. (2013). The Effect of Executive Function on Biological Reasoning in Young Children: An Individual Differences Study. Child Development. 85(1). 160–175. 86 indexed citations
6.
Solomon, Gregg E. A. & Deborah Zaitchik. (2011). Folkbiology. Wiley Interdisciplinary Reviews Cognitive Science. 3(1). 105–115. 14 indexed citations
7.
Zaitchik, Deborah, Caren M. Walker, Saul L. Miller, et al.. (2010). Mental state attribution and the temporoparietal junction: An fMRI study comparing belief, emotion, and perception. Neuropsychologia. 48(9). 2528–2536. 48 indexed citations
8.
Zaitchik, Deborah & Gregg E. A. Solomon. (2008). Animist thinking in the elderly and in patients with Alzheimer's disease. Cognitive Neuropsychology. 25(1). 27–37. 41 indexed citations
9.
Zaitchik, Deborah & Gregg E. A. Solomon. (2008). Inhibitory Mechanisms and Impairment in Domain-Specific Reasoning: Studies of Healthy Elderly Adults and Patients with Alzheimer's Disease. eScholarship (California Digital Library). 30(30). 3 indexed citations
10.
Zaitchik, Deborah, Elissa Koff, Hiram Brownell, Ellen Winner, & Marilyn Albert. (2006). Inference of beliefs and emotions in patients with Alzheimer's disease.. Neuropsychology. 20(1). 11–20. 59 indexed citations
11.
Koff, Elissa, Hiram Brownell, Ellen Winner, Marilyn Albert, & Deborah Zaitchik. (2004). Inference of mental states in patients with Alzheimer's disease. Cognitive Neuropsychiatry. 9(4). 301–313. 42 indexed citations
12.
Daly, Ella, et al.. (2003). Psychiatric Symptomatology and Prodromal Alzheimer's Disease. Alzheimer Disease & Associated Disorders. 17(1). 1–8. 98 indexed citations
13.
Daly, Ella, et al.. (2000). Predicting Conversion to Alzheimer Disease Using Standardized Clinical Information. Archives of Neurology. 57(5). 675–675. 289 indexed citations
14.
Koff, Elissa, Deborah Zaitchik, Joann M. Montepare, & Marilyn S. Albert. (1999). Emotion processing in the visual and auditory domains by patients with Alzheimer's disease. Journal of the International Neuropsychological Society. 5(1). 32–40. 69 indexed citations
15.
Solomon, Gregg E. A., Susan Johnson, Deborah Zaitchik, & Susan Carey. (1996). Like Father, Like Son: Young Children's Understanding of How and Why Offspring Resemble Their Parents. Child Development. 67(1). 151–171. 145 indexed citations
16.
Solomon, Gregg E. A., Susan Johnson, Deborah Zaitchik, & Susan Carey. (1996). Like Father, like Son: Young Children's Understanding of How and Why Offspring Resemble Their Parents. Child Development. 67(1). 151–151. 111 indexed citations
17.
Sullivan, Kathleen E., Deborah Zaitchik, & Helen Tager‐Flusberg. (1994). Preschoolers can attribute second-order beliefs.. Developmental Psychology. 30(3). 395–402. 366 indexed citations
18.
Sodian, Beate, Deborah Zaitchik, & Susan Carey. (1991). Young Children's Differentiation of Hypothetical Beliefs from Evidence. Child Development. 62(4). 753–753. 129 indexed citations
19.
Zaitchik, Deborah. (1991). Is only seeing really believing?: Sources of the true belief in the false belief task. Cognitive Development. 6(1). 91–103. 133 indexed citations
20.
Zaitchik, Deborah. (1990). When representations conflict with reality: The preschooler's problem with false beliefs and “false” photographs. Cognition. 35(1). 41–68. 301 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.

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