Sean M. Lane
- Cognitive Neuroscience top 2%
- Memory Processes and Influences 18
- Face Recognition and Perception 3
- Social Psychology top 2%
- Deception detection and forensic psychology 14
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- Visual and Cognitive Learning Processes 2
- Psychiatry and Mental health top 10%
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- Misinformation and Its Impacts 3
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- Topic Modeling 3
- Domain Adaptation and Few-Shot Learning 3
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- Radiology practices and education 3
- Co-authors
- Maria S. ZaragozaClaire AdvokatChunqiao LuoPaul AtchleyJonathan W. SchoolerMara MatherChristian A. MeissnerJeffrey J. Starns
- Journals
- Psychological Science (1 paper)Journal of Experimental Psychology Learning Memory and Cognition (3 papers)Accident Analysis & Prevention (1 paper)
- 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
- Developmental and Educational Psychology 167
- Experimental and Cognitive Psychology 155
- Psychiatry and Mental health 130
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
The 16 scholars most cited alongside Sean M. Lane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 2 | |
| 2 | 2019 | 3 | |
| 3 | 2016 | 16 | |
| 4 | 2012 | 72 | |
| 5 | 2012 | 3 | |
| 6 | 2011 | 1 | |
| 7 | Collective Intelligence for Competitive Advantage: Crowdsourcing and Open Innovation | 2010 | 8 |
| 8 | 2008 | 5 | |
| 9 | 2008 | 7 | |
| 10 | 2008 | 19 | |
| 11 | What Judges Know about What Jurors Know: Consistency of Beliefs about Eyewitness Memory | 2008 | 2 |
| 12 | 2007 | 17 | |
| 13 | 2007 | 16 | |
| 14 | 2007 | 18 | |
| 15 | 2006 | 36 | |
| 16 | 2001 | 43 | |
| 17 | 1998 | 38 | |
| 18 | 1995 | 28 | |
| 19 | 1994 | 241 | |
| 20 | 1994 | 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), Face Recognition and Perception (3 papers), Misinformation and Its Impacts (3 papers), Topic Modeling (3 papers), Radiology practices and education (3 papers), Domain Adaptation and Few-Shot Learning (3 papers) and Visual and Cognitive Learning Processes (2 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.