Ann Syrdal-Lasky
About
In The Last Decade
Ann Syrdal-Lasky
5 papers receiving 406 citations
Peers
Comparison fields: 5 of 37
- Developmental and Educational Psychology 356
- Experimental and Cognitive Psychology 220
- Cognitive Neuroscience 209
- Statistics and Probability 95
- Artificial Intelligence 57
Countries citing papers authored by Ann Syrdal-Lasky
This map shows the geographic impact of Ann Syrdal-Lasky'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 Ann Syrdal-Lasky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ann Syrdal-Lasky more than expected).
Fields of papers citing papers by Ann Syrdal-Lasky
This network shows the impact of papers produced by Ann Syrdal-Lasky. 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 Ann Syrdal-Lasky. The network helps show where Ann Syrdal-Lasky may publish in the future.
Co-authorship network of co-authors of Ann Syrdal-Lasky
This figure shows the co-authorship network connecting the top 25 collaborators of Ann Syrdal-Lasky. A scholar is included among the top collaborators of Ann Syrdal-Lasky 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 Ann Syrdal-Lasky. Ann Syrdal-Lasky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 265 | |
| 2 | 4 | |
| 3 | 174 | |
| 4 | 14 | |
| 5 | 10 |
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.