Elizabeth Seiver

449 total citations
11 papers, 246 citations indexed

About

Elizabeth Seiver is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Artificial Intelligence. According to data from OpenAlex, Elizabeth Seiver has authored 11 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Developmental and Educational Psychology, 2 papers in Cognitive Neuroscience and 2 papers in Artificial Intelligence. Recurrent topics in Elizabeth Seiver's work include Child and Animal Learning Development (6 papers), Language and cultural evolution (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Elizabeth Seiver is often cited by papers focused on Child and Animal Learning Development (6 papers), Language and cultural evolution (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Elizabeth Seiver collaborates with scholars based in United States, Canada and China. Elizabeth Seiver's co-authors include Alison Gopnik, Noah D. Goodman, Henry M. Wellman, Tamar Kushnir, Nadia Chernyak, Sophie Bridgers, Paul Dagum, Eric Horvitz, Adam Galper and Daphna Buchsbaum and has published in prestigious journals such as Child Development, Developmental Psychology and Critical Care Medicine.

In The Last Decade

Elizabeth Seiver

11 papers receiving 227 citations

Peers

Elizabeth Seiver

DEP

CN

SP

SPS

EDUCA

Fiona Lyddy Ireland

Kara Sage United States

Mira Peter New Zealand

Natalia Vélez United States

Shawn L. Ward United States

Emily Liquin United States

Daniel Wiechmann Germany

Manuel Gimenes France

Theo Herrmann Germany

Ana Moreno-Núñez Spain

Fiona Lyddy Ireland

Elizabeth Seiver

164 ×1.2

DEP

61 ×0.9

CN

43 ×0.6

SP

29 ×0.6

SPS

98 ×2.6

EDUCA

Citations per year, relative to Elizabeth Seiver Elizabeth Seiver (= 1×) peers Fiona Lyddy

Countries citing papers authored by Elizabeth Seiver

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth Seiver

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Seiver

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth Seiver. A scholar is included among the top collaborators of Elizabeth Seiver 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 Elizabeth Seiver. Elizabeth Seiver is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Wente, Adrienne, et al.. (2016). How Universal Are Free Will Beliefs? Cultural Differences in Chinese and U.S. 4- and 6-Year-Olds. Child Development. 87(3). 666–676. 18 indexed citations

2.

Bridgers, Sophie, Daphna Buchsbaum, Elizabeth Seiver, Thomas L. Griffiths, & Alison Gopnik. (2015). Children’s causal inferences from conflicting testimony and observations.. Developmental Psychology. 52(1). 9–18. 30 indexed citations

3.

Kushnir, Tamar, Alison Gopnik, Nadia Chernyak, Elizabeth Seiver, & Henry M. Wellman. (2015). Developing intuitions about free will between ages four and six. Cognition. 138. 79–101. 64 indexed citations

4.

Buchsbaum, Daphna, et al.. (2012). Do I know that you know what you know? Modeling testimony in causal inference. Cognitive Science. 34(34). 8 indexed citations

5.

Buchsbaum, Daphna, Elizabeth Seiver, Sophie Bridgers, & Alison Gopnik. (2012). Learning about Causes from People and about People as Causes. Advances in child development and behavior. 43. 125–160. 5 indexed citations

6.

Seiver, Elizabeth, Alison Gopnik, & Noah D. Goodman. (2012). Did She Jump Because She Was the Big Sister or Because the Trampoline Was Safe? Causal Inference and the Development of Social Attribution. Child Development. 84(2). 443–454. 62 indexed citations

7.

Gopnik, Alison & Elizabeth Seiver. (2009). Reading Minds: How Infants Come to Understand Others.. Zero to three. 30(2). 28–32. 6 indexed citations

8.

Strain, Jay J., et al.. (1996). Optimizing physician access to surgical intensive care unit laboratory information through mobile computing.. PubMed. 812–6. 7 indexed citations

9.

Rosenal, Thomas W., Diana E. Forsythe, Mark A. Musen, & Elizabeth Seiver. (1995). Support for information management in critical care: a new approach to identify needs.. PubMed. 2–6. 6 indexed citations

10.

Dagum, Paul, Adam Galper, Eric Horvitz, & Elizabeth Seiver. (1995). Uncertain reasoning and forecasting. International Journal of Forecasting. 11(1). 73–87. 39 indexed citations

11.

Szaflarski, Nancy L., et al.. (1994). RELATIONSHIP OF SUBCUTANEOUS OXYGEN TO SYSTEMIC HEMODYNAMIC AND OXYGENATION VARIABLES IN CARDIAC SURGICAL PATIENTS. Critical Care Medicine. 22(1). A108–A108. 1 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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