Elizabeth Seiver
- Developmental and Educational Psychology top 10%
- Cognitive Neuroscience
- Social Psychology
- Sociology and Political Science
- Education
- Co-authors
- Alison GopnikNoah D. GoodmanHenry M. WellmanTamar KushnirNadia ChernyakSophie BridgersPaul DagumEric Horvitz
- Topics
- Child and Animal Learning Development (6 papers)Language and cultural evolution (2 papers)Bayesian Modeling and Causal Inference (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Elizabeth Seiver
11 papers receiving 227 citations
Peers
Comparison fields: 5 of 67
- Developmental and Educational Psychology 135
- Cognitive Neuroscience 69
- Social Psychology 68
- Sociology and Political Science 52
- Education 38
Countries citing papers authored by Elizabeth Seiver
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 30 | |
| 3 | 64 | |
| 4 | Do I know that you know what you know? Modeling testimony in causal inference | 8 |
| 5 | 5 | |
| 6 | 62 | |
| 7 | Reading Minds: How Infants Come to Understand Others. | 6 |
| 8 | Optimizing physician access to surgical intensive care unit laboratory information through mobile computing. | 7 |
| 9 | Support for information management in critical care: a new approach to identify needs. | 6 |
| 10 | 39 | |
| 11 | 1 |
About Elizabeth Seiver
Elizabeth Seiver is a scholar working on Issues, ethics and legal aspects, Developmental and Educational Psychology and Geriatrics and Gerontology, having authored 11 papers that have together received 246 indexed citations. Recurring topics across this work include Child and Animal Learning Development (6 papers), Language and cultural evolution (2 papers) and Bayesian Modeling and Causal Inference (2 papers). The work is most often cited by research in Developmental and Educational Psychology (135 citations), General Decision Sciences (11 citations) and Cognitive Neuroscience (69 citations). Elizabeth Seiver has collaborated with scholars based in United States, Canada and China. Frequent 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. Their work appears in journals such as Child Development, Developmental Psychology and Critical Care Medicine.
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.