Leah L. Light

6.8k total citations · 1 hit paper
75 papers, 4.6k citations indexed

About

Leah L. Light is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Artificial Intelligence. According to data from OpenAlex, Leah L. Light has authored 75 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Cognitive Neuroscience, 28 papers in Developmental and Educational Psychology and 10 papers in Artificial Intelligence. Recurrent topics in Leah L. Light's work include Memory Processes and Influences (33 papers), Child and Animal Learning Development (19 papers) and Neurobiology of Language and Bilingualism (10 papers). Leah L. Light is often cited by papers focused on Memory Processes and Influences (33 papers), Child and Animal Learning Development (19 papers) and Neurobiology of Language and Bilingualism (10 papers). Leah L. Light collaborates with scholars based in United States. Leah L. Light's co-authors include Deborah M. Burke, Donna La Voie, Asha Singh, Elizabeth M. Zelinski, Janet L. Capps, P. A. Anderson, Timothy A. Salthouse, Asha Lata Singh, Christie Chung and Robert F. Kennison and has published in prestigious journals such as Psychological Bulletin, American Psychologist and Annual Review of Psychology.

In The Last Decade

Leah L. Light

74 papers receiving 4.3k citations

Hit Papers

Memory and Aging: Four Hypotheses in Search of Data 1991 2026 2002 2014 1991 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leah L. Light United States 34 3.7k 1.5k 1.1k 549 448 75 4.6k
Alan J. Parkin United Kingdom 42 3.9k 1.1× 1.6k 1.1× 923 0.8× 662 1.2× 286 0.6× 123 5.1k
Anderson D. Smith United States 30 2.8k 0.7× 721 0.5× 1.2k 1.0× 529 1.0× 286 0.6× 51 3.9k
Sandra Hale United States 39 3.5k 0.9× 1.6k 1.1× 2.0k 1.8× 456 0.8× 285 0.6× 98 5.5k
Graham J. Hitch United Kingdom 36 3.3k 0.9× 1.9k 1.2× 1.6k 1.4× 655 1.2× 361 0.8× 79 4.9k
Moshe Naveh‐Benjamin United States 47 6.3k 1.7× 2.2k 1.4× 2.3k 2.0× 926 1.7× 568 1.3× 137 8.2k
J. Scott Saults United States 31 2.7k 0.7× 1.0k 0.7× 1.5k 1.3× 443 0.8× 254 0.6× 57 3.9k
Alan D. Castel United States 38 4.6k 1.2× 1.8k 1.2× 2.2k 1.9× 701 1.3× 501 1.1× 159 6.2k
Wilma Koutstaal United States 29 4.3k 1.1× 734 0.5× 687 0.6× 815 1.5× 265 0.6× 81 4.9k
Deborah M. Burke United States 29 3.3k 0.9× 2.0k 1.3× 949 0.8× 310 0.6× 363 0.8× 48 4.1k
Carol L. Raye United States 34 5.2k 1.4× 1.3k 0.8× 1.4k 1.2× 1.9k 3.4× 470 1.0× 51 6.6k

Countries citing papers authored by Leah L. Light

Since Specialization
Citations

This map shows the geographic impact of Leah L. Light'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 Leah L. Light with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leah L. Light more than expected).

Fields of papers citing papers by Leah L. Light

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leah L. Light. 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 Leah L. Light. The network helps show where Leah L. Light may publish in the future.

Co-authorship network of co-authors of Leah L. Light

This figure shows the co-authorship network connecting the top 25 collaborators of Leah L. Light. A scholar is included among the top collaborators of Leah L. Light 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 Leah L. Light. Leah L. Light is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Light, Leah L., et al.. (2016). Effects of repetition on age differences in associative recognition. Memory. 25(3). 350–359. 2 indexed citations
2.
Light, Leah L., et al.. (2011). Age, Criterion Flexibility, and Associative Recognition. The Journals of Gerontology Series B. 67B(1). 36–42. 10 indexed citations
3.
Light, Leah L., et al.. (2010). Effects of repetition on associative recognition in young and older adults: Item and associative strengthening.. Psychology and Aging. 26(1). 111–126. 30 indexed citations
4.
Light, Leah L., et al.. (2009). Discriminating Semantic from Episodic Relatedness in Young and Older Adults. Aging Neuropsychology and Cognition. 16(5). 535–562. 26 indexed citations
5.
Chung, Christie & Leah L. Light. (2009). Effects of Age and Study Repetition on Plurality Discrimination. Aging Neuropsychology and Cognition. 16(4). 446–460. 4 indexed citations
6.
Prull, Matthew W., et al.. (2006). Recollection and familiarity in recognition memory: Adult age differences and neuropsychological test correlates.. Psychology and Aging. 21(1). 107–118. 119 indexed citations
7.
Light, Leah L., et al.. (2006). Effects of repetition and response deadline on item recognition in young and older adults. Memory & Cognition. 34(2). 335–343. 9 indexed citations
8.
Healy, Michael R., Leah L. Light, & Christie Chung. (2005). Dual-Process Models of Associative Recognition in Young and Older Adults: Evidence From Receiver Operating Characteristics.. Journal of Experimental Psychology Learning Memory and Cognition. 31(4). 768–788. 82 indexed citations
9.
Light, Leah L., et al.. (2004). Effects of repetition and response deadline on associative recognition in young and older adults. Memory & Cognition. 32(7). 1182–1193. 97 indexed citations
10.
Hertzog, Christopher & Leah L. Light. (2004). Methodological Issues in the Assessment of Technology Use for Older Adults. 134(3). 230–2. 2 indexed citations
11.
Light, Leah L., Robert F. Kennison, & Michael R. Healy. (2002). Bias effects in word fragment completion in young and older adults. Memory & Cognition. 30(8). 1204–1218. 5 indexed citations
12.
Light, Leah L. & Robert F. Kennison. (1996). Guessing Strategies, Aging, and Bias Effects in Perceptual Identification. Consciousness and Cognition. 5(4). 463–499. 13 indexed citations
13.
Light, Leah L., et al.. (1992). Direct and indirect measures of memory for modality in young and older adults.. Journal of Experimental Psychology Learning Memory and Cognition. 18(6). 1284–1297. 75 indexed citations
14.
Light, Leah L., et al.. (1991). Instantiation of general terms in young and older adults.. Psychology and Aging. 6(3). 337–351. 19 indexed citations
15.
Light, Leah L., et al.. (1989). Direct and indirect tests of memory for category exemplars in young and older adults.. Psychology and Aging. 4(4). 487–492. 67 indexed citations
16.
Light, Leah L., et al.. (1988). Young and older adults' use of context in spatial memory.. Psychology and Aging. 3(1). 99–101. 42 indexed citations
17.
Light, Leah L. & Timothy A. Salthouse. (1987). A Theory of Cognitive Aging. The American Journal of Psychology. 100(1). 125–125. 68 indexed citations
18.
Light, Leah L. & Elizabeth M. Zelinski. (1983). Memory for spatial information in young and old adults.. Developmental Psychology. 19(6). 901–906. 6 indexed citations
19.
Light, Leah L.. (1974). Incentives, information, rehearsal, and the negative recency effect. Memory & Cognition. 2(2). 295–300. 1 indexed citations
20.
Light, Leah L., et al.. (1973). Context effects in recognition memory: Item order and unitization.. Journal of Experimental Psychology. 100(1). 135–140. 12 indexed citations

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.

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