Sarah J. Barber

2.3k total citations
66 papers, 1.4k citations indexed

About

Sarah J. Barber is a scholar working on Cognitive Neuroscience, Neuropsychology and Physiological Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Sarah J. Barber has authored 66 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 22 papers in Neuropsychology and Physiological Psychology and 21 papers in Experimental and Cognitive Psychology. Recurrent topics in Sarah J. Barber's work include Aging and Gerontology Research (22 papers), Memory Processes and Influences (16 papers) and Identity, Memory, and Therapy (12 papers). Sarah J. Barber is often cited by papers focused on Aging and Gerontology Research (22 papers), Memory Processes and Influences (16 papers) and Identity, Memory, and Therapy (12 papers). Sarah J. Barber collaborates with scholars based in United States, France and Australia. Sarah J. Barber's co-authors include Mara Mather, Hyunji Kim, Suparna Rajaram, Elizabeth J. Marsh, Celia B. Harris, Arthur Aron, Philipp C. Opitz, Margaret Gatz, Peter A. Ornstein and Suparna Rajaram and has published in prestigious journals such as SHILAP Revista de lepidopterología, Psychological Science and Cognition.

In The Last Decade

Sarah J. Barber

58 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah J. Barber United States 22 464 399 378 352 303 66 1.4k
Andrew E. Reed United States 12 512 1.1× 471 1.2× 208 0.6× 643 1.8× 336 1.1× 14 1.6k
Dolores Pushkar Canada 22 305 0.7× 342 0.9× 173 0.5× 260 0.7× 295 1.0× 38 1.4k
Jinkyung Na South Korea 19 336 0.7× 821 2.1× 555 1.5× 172 0.5× 265 0.9× 41 1.4k
Nora A. Murphy United States 19 516 1.1× 503 1.3× 340 0.9× 249 0.7× 458 1.5× 37 1.4k
Marc A. Fournier Canada 20 332 0.7× 641 1.6× 436 1.2× 94 0.3× 400 1.3× 64 1.7k
Jennifer Lodi‐Smith United States 16 272 0.6× 597 1.5× 611 1.6× 204 0.6× 511 1.7× 34 2.1k
Fumiaki Hamagami United States 20 196 0.4× 230 0.6× 237 0.6× 144 0.4× 674 2.2× 36 2.2k
Irene Ceccato Italy 17 226 0.5× 272 0.7× 153 0.4× 101 0.3× 230 0.8× 49 1.0k
Corinne Auman United States 8 203 0.4× 253 0.6× 226 0.6× 368 1.0× 147 0.5× 8 840
Ellen Bouchard Ryan Canada 30 420 0.9× 345 0.9× 417 1.1× 502 1.4× 379 1.3× 69 2.4k

Countries citing papers authored by Sarah J. Barber

Since Specialization
Citations

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

Fields of papers citing papers by Sarah J. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah J. Barber. 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 Sarah J. Barber. The network helps show where Sarah J. Barber may publish in the future.

Co-authorship network of co-authors of Sarah J. Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Sarah J. Barber. A scholar is included among the top collaborators of Sarah J. Barber 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 Sarah J. Barber. Sarah J. Barber 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.
Beran, Michael J., et al.. (2024). No evidence of attentional bias toward threatening conspecific and allospecific faces in capuchin monkeys (Sapajus [Cebus] apella) using a dot-probe task.. Journal of comparative psychology. 138(4). 259–275. 1 indexed citations
2.
Barber, Sarah J., et al.. (2023). The illusory truth effect: A review of how repetition increases belief in misinformation. Current Opinion in Psychology. 56. 101736–101736. 25 indexed citations
3.
Barber, Sarah J., et al.. (2023). Younger and older adults’ memory of past feelings surrounding an election. Memory. 32(1). 11–24.
4.
Ellis, Rebecca, Katie E. Cherry, Robert H. Wood, et al.. (2022). Impact of cardiovascular risk factors on the relationships of physical activity with mood and cognitive function in a diverse sample. Aging Neuropsychology and Cognition. 30(4). 654–667. 2 indexed citations
5.
McGregor, Keith, et al.. (2022). Rostral anterior cingulate connectivity in older adults with subthreshold depressive symptoms: A preliminary study. SHILAP Revista de lepidopterología. 3. 100059–100059. 5 indexed citations
6.
Barber, Sarah J.. (2020). The applied implications of age-based stereotype threat for older adults.. Journal of Applied Research in Memory and Cognition. 9(3). 274–285. 25 indexed citations
7.
Barber, Sarah J., et al.. (2020). The limited roles of cognitive capabilities and future time perspective in contributing to positivity effects. Cognition. 200. 104267–104267. 18 indexed citations
8.
Barber, Sarah J. & Hyunji Kim. (2020). COVID-19 Worries and Behavior Changes in Older and Younger Men and Women. The Journals of Gerontology Series B. 76(2). e17–e23. 227 indexed citations
9.
Williams, Gemma, Jonathan Cylus, Tomáš Roubal, et al.. (2019). Sustainable Health Financing with an Ageing Population. 4 indexed citations
10.
Barber, Sarah J., et al.. (2017). Measuring Hearing Aid Benefit in Nicaragua using Cultural Considerations. BearWorks (Missouri State University). 2(3). 264–272. 1 indexed citations
11.
Régner, Isabelle, et al.. (2016). Negative Aging Stereotypes Impair Performance on Brief Cognitive Tests Used to Screen for Predementia. The Journals of Gerontology Series B. 72(6). gbw083–gbw083. 30 indexed citations
12.
Barber, Sarah J., et al.. (2016). Thinking about a limited future enhances the positivity of younger and older adults’ recall: Support for socioemotional selectivity theory. Memory & Cognition. 44(6). 869–882. 59 indexed citations
13.
Barber, Sarah J., et al.. (2015). The Psychoactive Substances Bill 2015. 4 indexed citations
14.
Barber, Sarah J., et al.. (2015). Stereotype Threat Lowers Older Adults' Self-Reported Hearing Abilities. Gerontology. 62(1). 81–85. 19 indexed citations
15.
Barber, Sarah J. & Mara Mather. (2014). How retellings shape younger and older adults' memories. Journal of Cognitive Psychology. 26(3). 263–279. 11 indexed citations
16.
Barber, Sarah J., Celia B. Harris, & Suparna Rajaram. (2014). Why two heads apart are better than two heads together: Multiple mechanisms underlie the collaborative inhibition effect in memory.. Journal of Experimental Psychology Learning Memory and Cognition. 41(2). 559–566. 69 indexed citations
17.
Barber, Sarah J. & Mara Mather. (2013). Stereotype Threat can Reduce Older Adults' Memory Errors. Quarterly Journal of Experimental Psychology. 66(10). 1888–1895. 36 indexed citations
18.
Barber, Sarah J., et al.. (2012). Learning and Remembering with Others: The Key Role of Retrieval in Shaping Group Recall and Collective Memory. Social Cognition. 30(1). 121–132. 41 indexed citations
19.
Barber, Sarah J. & Mara Mather. (2012). Forgetting in context: The effects of age, emotion, and social factors on retrieval-induced forgetting. Memory & Cognition. 40(6). 874–888. 36 indexed citations
20.
Barber, Sarah J., Suparna Rajaram, & Elizabeth J. Marsh. (2008). Fact learning: How information accuracy, delay, and repeated testing change retention and retrieval experience. Memory. 16(8). 934–946. 37 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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