Sean M. Lane
- Cognitive Neuroscience top 2%
- Social Psychology top 2%
- Sociology and Political Science top 10%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Co-authors
- Maria S. ZaragozaClaire AdvokatChunqiao LuoPaul AtchleyJonathan W. SchoolerMara MatherChristian A. MeissnerJeffrey J. Starns
- Topics
- Memory Processes and Influences (18 papers)Deception detection and forensic psychology (14 papers)Face Recognition and Perception (3 papers)
- Journals
- Psychological ScienceJournal of Experimental Psychology Learning Memory and CognitionAccident Analysis & Prevention
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Sean M. Lane
30 papers receiving 983 citations
Peers
Comparison fields: 5 of 98
- Cognitive Neuroscience 751
- Social Psychology 535
- Sociology and Political Science 189
- Developmental and Educational Psychology 167
- Experimental and Cognitive Psychology 155
Countries citing papers authored by Sean M. Lane
This map shows the geographic impact of Sean M. Lane'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 Sean M. Lane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean M. Lane more than expected).
Fields of papers citing papers by Sean M. Lane
This network shows the impact of papers produced by Sean M. Lane. 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 Sean M. Lane. The network helps show where Sean M. Lane may publish in the future.
Co-authorship network of co-authors of Sean M. Lane
This figure shows the co-authorship network connecting the top 25 collaborators of Sean M. Lane. A scholar is included among the top collaborators of Sean M. Lane 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 Sean M. Lane. Sean M. Lane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 16 | |
| 4 | 72 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | Collective Intelligence for Competitive Advantage: Crowdsourcing and Open Innovation | 8 |
| 8 | 5 | |
| 9 | 7 | |
| 10 | 19 | |
| 11 | What Judges Know about What Jurors Know: Consistency of Beliefs about Eyewitness Memory | 2 |
| 12 | 17 | |
| 13 | 16 | |
| 14 | 18 | |
| 15 | 36 | |
| 16 | 43 | |
| 17 | 38 | |
| 18 | 28 | |
| 19 | 241 | |
| 20 | 184 |
About Sean M. Lane
Sean M. Lane is a scholar working on General Decision Sciences, Cognitive Neuroscience and Social Psychology, having authored 30 papers that have together received 1.0k indexed citations. Recurring topics across this work include Memory Processes and Influences (18 papers), Deception detection and forensic psychology (14 papers) and Face Recognition and Perception (3 papers). The work is most often cited by research in Cognitive Neuroscience (751 citations), Social Psychology (535 citations) and Developmental and Educational Psychology (167 citations). Sean M. Lane has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Maria S. Zaragoza, Claire Advokat, Chunqiao Luo, Paul Atchley, Jonathan W. Schooler, Mara Mather, Christian A. Meissner, Jeffrey J. Starns, Robert C. Mathews and Ron Sun. Their work appears in journals such as Psychological Science, Journal of Experimental Psychology Learning Memory and Cognition and Accident Analysis & Prevention.
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.