Elizabeth McKenna
- Social Psychology top 10%
- Artificial Intelligence
- Behavioral Neuroscience top 10%
- Sociology and Political Science
- Reproductive Medicine top 10%
- Co-authors
- Barry SmythKenneth S. KorachSonoko OgawaMasayoshi NomuraDonald W. PfaffHahrie HanChristian LeyErica C. Fischer
- Topics
- Politics and Society in Latin America (4 papers)AI-based Problem Solving and Planning (4 papers)Machine Learning and Data Classification (3 papers)
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Elizabeth McKenna
17 papers receiving 281 citations
Peers
Comparison fields: 5 of 84
- Social Psychology 99
- Artificial Intelligence 73
- Behavioral Neuroscience 63
- Sociology and Political Science 46
- Reproductive Medicine 44
Countries citing papers authored by Elizabeth McKenna
This map shows the geographic impact of Elizabeth McKenna'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 McKenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth McKenna more than expected).
Fields of papers citing papers by Elizabeth McKenna
This network shows the impact of papers produced by Elizabeth McKenna. 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 McKenna. The network helps show where Elizabeth McKenna may publish in the future.
Co-authorship network of co-authors of Elizabeth McKenna
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth McKenna. A scholar is included among the top collaborators of Elizabeth McKenna 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 McKenna. Elizabeth McKenna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 18 | |
| 4 | 6 | |
| 5 | Prisms of the People: Power & Organizing in Twenty-First-Century America | 2 |
| 6 | The Revolution Will Be Organized: Power and Protest in Brazil's New Republic, 1988-2018 | 2 |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 4 | |
| 10 | 41 | |
| 11 | 1 | |
| 12 | 137 | |
| 13 | 40 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | Picture perfect - visualisation techniques for case-based reasoning | 2 |
| 17 | Competence-guided editing methods for lazy learning | 18 |
About Elizabeth McKenna
Elizabeth McKenna is a scholar working on Public Administration, Behavioral Neuroscience and Software, having authored 17 papers that have together received 307 indexed citations. Recurring topics across this work include Politics and Society in Latin America (4 papers), AI-based Problem Solving and Planning (4 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Behavioral Neuroscience (63 citations), Reproductive Medicine (44 citations) and Endocrine and Autonomic Systems (34 citations). Elizabeth McKenna has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Barry Smyth, Kenneth S. Korach, Sonoko Ogawa, Masayoshi Nomura, Donald W. Pfaff, Hahrie Han, Christian Ley, Erica C. Fischer, Brad P. Wham and Chad Seidel. Their work appears in journals such as Knowledge-Based Systems, American Behavioral Scientist and Molecular Brain Research.
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.