Steven Frankland
- Cognitive Neuroscience top 10%
- Social Psychology
- Experimental and Cognitive Psychology
- Developmental and Educational Psychology
- Artificial Intelligence
- Co-authors
- Joshua D. GreeneSharon L. Thompson‐SchillNina S. HsuRandall C. O’ReillyTaylor W. WebbJohn LaffertyAlexander A. PetrovJonathan Cohen
- Topics
- Neural dynamics and brain function (3 papers)Memory and Neural Mechanisms (3 papers)Neurobiology of Language and Bilingualism (2 papers)
- Cited by
- Cognitive NeuroscienceDevelopmental and Educational PsychologyExperimental and Cognitive Psychology
- Journals
- Proceedings of the National Academy of SciencesTrends in Cognitive SciencesAnnual Review of Psychology
- Partner nations
- United StatesItalyMexico
In The Last Decade
Steven Frankland
10 papers receiving 214 citations
Peers
Comparison fields: 5 of 49
- Cognitive Neuroscience 150
- Social Psychology 69
- Experimental and Cognitive Psychology 50
- Developmental and Educational Psychology 50
- Artificial Intelligence 38
Countries citing papers authored by Steven Frankland
This map shows the geographic impact of Steven Frankland'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 Steven Frankland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Frankland more than expected).
Fields of papers citing papers by Steven Frankland
This network shows the impact of papers produced by Steven Frankland. 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 Steven Frankland. The network helps show where Steven Frankland may publish in the future.
Co-authorship network of co-authors of Steven Frankland
This figure shows the co-authorship network connecting the top 25 collaborators of Steven Frankland. A scholar is included among the top collaborators of Steven Frankland 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 Steven Frankland. Steven Frankland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | Determinantal Point Processes for Memory and Structured Inference. | 1 |
| 6 | 7 | |
| 7 | 19 | |
| 8 | Extracting and Utilizing Abstract, Structured Representations for Analogy. | 1 |
| 9 | 73 | |
| 10 | 68 | |
| 11 | 41 |
About Steven Frankland
Steven Frankland is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Geometry and Topology, having authored 11 papers that have together received 219 indexed citations. Recurring topics across this work include Neural dynamics and brain function (3 papers), Memory and Neural Mechanisms (3 papers) and Neurobiology of Language and Bilingualism (2 papers). The work is most often cited by research in Cognitive Neuroscience (150 citations), Developmental and Educational Psychology (50 citations) and Experimental and Cognitive Psychology (50 citations). Steven Frankland has collaborated with scholars based in United States, Italy and Mexico. Frequent co-authors include Joshua D. Greene, Sharon L. Thompson‐Schill, Nina S. Hsu, Randall C. O’Reilly, Taylor W. Webb, John Lafferty, Alexander A. Petrov, Jonathan Cohen, Jonathan D. Cohen and Jonathan Cohen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Trends in Cognitive Sciences and Annual Review of Psychology.
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.