Jennifer D. Ryan

7.2k total citations
143 papers, 4.9k citations indexed

About

Jennifer D. Ryan is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jennifer D. Ryan has authored 143 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 111 papers in Cognitive Neuroscience, 22 papers in Cellular and Molecular Neuroscience and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jennifer D. Ryan's work include Memory and Neural Mechanisms (77 papers), Memory Processes and Influences (30 papers) and Neural and Behavioral Psychology Studies (28 papers). Jennifer D. Ryan is often cited by papers focused on Memory and Neural Mechanisms (77 papers), Memory Processes and Influences (30 papers) and Neural and Behavioral Psychology Studies (28 papers). Jennifer D. Ryan collaborates with scholars based in Canada, United States and United Kingdom. Jennifer D. Ryan's co-authors include Neal J. Cohen, Sandra N. Moses, Rosanna K. Olsen, Kelly Shen, Ellen Bialystok, Fergus I. M. Craik, Helene J. Polatajko, Robert R. Althoff, Stephen D. Whitlow and Morris Moscovitch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Jennifer D. Ryan

132 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer D. Ryan Canada 38 3.9k 764 742 698 663 143 4.9k
Giuseppe Iaria Canada 36 3.3k 0.8× 753 1.0× 400 0.5× 1.0k 1.5× 375 0.6× 109 4.8k
Paolo Bartolomeo France 50 7.9k 2.0× 461 0.6× 273 0.4× 1000 1.4× 697 1.1× 214 9.4k
Lotfi B. Merabet United States 41 5.1k 1.3× 290 0.4× 901 1.2× 1.7k 2.4× 598 0.9× 144 7.4k
Véronique D. Bohbot Canada 34 2.8k 0.7× 512 0.7× 857 1.2× 465 0.7× 453 0.7× 74 4.3k
Vincent Walsh United Kingdom 45 7.6k 2.0× 922 1.2× 528 0.7× 1.7k 2.4× 420 0.6× 114 9.5k
Francesco Di Russo Italy 44 6.2k 1.6× 604 0.8× 364 0.5× 1.5k 2.2× 419 0.6× 157 7.5k
Cecilia Guariglia Italy 38 3.6k 0.9× 1.0k 1.4× 119 0.2× 920 1.3× 670 1.0× 194 5.5k
Paul M. Bays United Kingdom 38 6.4k 1.6× 355 0.5× 237 0.3× 1.0k 1.5× 501 0.8× 90 7.1k
Joel L. Voss United States 41 4.1k 1.1× 429 0.6× 635 0.9× 742 1.1× 432 0.7× 109 5.4k
Chantal Kemner Netherlands 46 4.6k 1.2× 864 1.1× 382 0.5× 843 1.2× 1.6k 2.5× 149 6.0k

Countries citing papers authored by Jennifer D. Ryan

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer D. Ryan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer D. Ryan. 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 Jennifer D. Ryan. The network helps show where Jennifer D. Ryan may publish in the future.

Co-authorship network of co-authors of Jennifer D. Ryan

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer D. Ryan. A scholar is included among the top collaborators of Jennifer D. Ryan 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 Jennifer D. Ryan. Jennifer D. Ryan 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.
Wynn, Jordana S., et al.. (2025). Decoding memory function through naturalistic gaze patterns. Proceedings of the National Academy of Sciences. 122(33). e2505879122–e2505879122. 1 indexed citations
2.
Herrmann, Björn & Jennifer D. Ryan. (2024). Pupil Size and Eye Movements Differently Index Effort in Both Younger and Older Adults. Journal of Cognitive Neuroscience. 36(7). 1325–1340. 4 indexed citations
4.
Barense, Morgan D., et al.. (2024). The Effect of Segmentation Method on Medial Temporal Lobe Subregion Volumes in Aging. Human Brain Mapping. 45(15). e70054–e70054. 1 indexed citations
5.
Robin, Jessica, et al.. (2024). Impaired perceptual discrimination of complex objects in older adults at risk for dementia. Hippocampus. 34(4). 197–203. 1 indexed citations
6.
Rosenbaum, R. Shayna, et al.. (2024). Dramatic changes to well-known places go unnoticed. Neuropsychologia. 196. 108818–108818. 1 indexed citations
7.
Wynn, Jordana S., Zhong‐Xu Liu, & Jennifer D. Ryan. (2021). Neural Correlates of Subsequent Memory-Related Gaze Reinstatement. Journal of Cognitive Neuroscience. 34(9). 1547–1562. 8 indexed citations
8.
Liu, Zhong‐Xu, R. Shayna Rosenbaum, & Jennifer D. Ryan. (2020). Restricting Visual Exploration Directly Impedes Neural Activity, Functional Connectivity, and Memory. Cerebral Cortex Communications. 1(1). tgaa054–tgaa054. 10 indexed citations
9.
Wynn, Jordana S., Jennifer D. Ryan, & Bradley R. Buchsbaum. (2020). Eye movements support behavioral pattern completion. Proceedings of the National Academy of Sciences. 117(11). 6246–6254. 34 indexed citations
10.
Ryan, Jennifer D., et al.. (2020). Modeling the influence of the hippocampal memory system on the oculomotor system. Network Neuroscience. 4(1). 217–233. 11 indexed citations
11.
Diamond, Nicholas B., et al.. (2020). Vividness of recollection is supported by eye movements in individuals with high, but not low trait autobiographical memory. Cognition. 206. 104487–104487. 25 indexed citations
12.
Ryan, Jennifer D. & Kelly Shen. (2020). The eyes are a window into memory. Current Opinion in Behavioral Sciences. 32. 1–6. 40 indexed citations
13.
Yeung, Lok‐Kin, et al.. (2019). Object-in-place Memory Predicted by Anterolateral Entorhinal Cortex and Parahippocampal Cortex Volume in Older Adults. Journal of Cognitive Neuroscience. 31(5). 711–729. 32 indexed citations
14.
Rondina, Renante, Rosanna K. Olsen, Lingqian Li, Jed A. Meltzer, & Jennifer D. Ryan. (2019). Age-related changes to oscillatory dynamics during maintenance and retrieval in a relational memory task. PLoS ONE. 14(2). e0211851–e0211851. 10 indexed citations
15.
Freedman, Morris, Malcolm A. Binns, Fuqiang Gao, et al.. (2017). Mind–Matter Interactions and the Frontal Lobes of the Brain: A Novel Neurobiological Model of Psi Inhibition. EXPLORE. 14(1). 76–85. 5 indexed citations
16.
Leonard, Timothy K., Andrés M. Lozano, Mary Pat McAndrews, et al.. (2016). Pupillary responses and memory-guided visual search reveal age-related and Alzheimer’s-related memory decline. Behavioural Brain Research. 322(Pt B). 351–361. 23 indexed citations
17.
Ryan, Jennifer D.. (2015). Negotiations of Faith and Space in Memphis Music. Oxford University Press eBooks. 2 indexed citations
18.
Olsen, Rosanna K., Mark Chiew, Bradley R. Buchsbaum, & Jennifer D. Ryan. (2014). The relationship between delay period eye movements and visuospatial memory.. Journal of Visualization. 14. 2 indexed citations
19.
Rosenbaum, R. Shayna, et al.. (2009). Prior Experience Supports New Learning of Relations in Aging. The Journals of Gerontology Series B. 65B(1). 32–41. 24 indexed citations
20.
Moses, Sandra N., Jon M. Houck, Tim Martin, et al.. (2006). Dynamic neural activity recorded from human amygdala during fear conditioning using magnetoencephalography. Brain Research Bulletin. 71(5). 452–460. 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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