Amber W. Lockrow

479 total citations
9 papers, 229 citations indexed

About

Amber W. Lockrow is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Neuropsychology and Physiological Psychology. According to data from OpenAlex, Amber W. Lockrow has authored 9 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 4 papers in Developmental and Educational Psychology and 2 papers in Neuropsychology and Physiological Psychology. Recurrent topics in Amber W. Lockrow's work include Functional Brain Connectivity Studies (4 papers), Identity, Memory, and Therapy (4 papers) and Aging and Gerontology Research (2 papers). Amber W. Lockrow is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Identity, Memory, and Therapy (4 papers) and Aging and Gerontology Research (2 papers). Amber W. Lockrow collaborates with scholars based in Canada, United States and Norway. Amber W. Lockrow's co-authors include R. Nathan Spreng, Gary R. Turner, Roni Setton, Elizabeth DuPré, Felipe De Brigard, Laetitia Mwilambwe-Tshilobo, Kelly S. Giovanello, Margaret O’Brien, John A. E. Anderson and Prantik Kundu and has published in prestigious journals such as Journal of Applied Physiology, Neuropsychologia and The Journals of Gerontology Series A.

In The Last Decade

Amber W. Lockrow

9 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amber W. Lockrow Canada	8	169	69	43	35	29	9	229
Roni Setton Canada	10	247 1.5×	68 1.0×	54 1.3×	46 1.3×	22 0.8×	20	314
Laura Babcock Italy	9	203 1.2×	89 1.3×	64 1.5×	30 0.9×	11 0.4×	11	299
Lea Maria Bartsch Switzerland	9	178 1.1×	24 0.3×	84 2.0×	11 0.3×	12 0.4×	19	261
Xing-Ting Zhu China	4	70 0.4×	44 0.6×	87 2.0×	22 0.6×	10 0.3×	4	168
María Marta Richard’s Argentina	10	97 0.6×	73 1.1×	63 1.5×	36 1.0×	30 1.0×	53	294
N. Deniz Aksaylı United Kingdom	3	92 0.5×	78 1.1×	144 3.3×	60 1.7×	7 0.2×	6	269
Kelly A. Durbin United States	9	179 1.1×	71 1.0×	80 1.9×	28 0.8×	29 1.0×	12	293
Thomas Piercy United Kingdom	6	85 0.5×	19 0.3×	61 1.4×	106 3.0×	8 0.3×	8	220
Aycan Kapucu Türkiye	9	164 1.0×	36 0.5×	51 1.2×	27 0.8×	31 1.1×	21	227
Craig P. McFarland United States	8	181 1.1×	48 0.7×	196 4.6×	141 4.0×	9 0.3×	11	324

Countries citing papers authored by Amber W. Lockrow

Since Specialization

Citations

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

Fields of papers citing papers by Amber W. Lockrow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amber W. Lockrow. 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 Amber W. Lockrow. The network helps show where Amber W. Lockrow may publish in the future.

Co-authorship network of co-authors of Amber W. Lockrow

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

All Works

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9 of 9 papers shown

Lockrow, Amber W., et al.. (2023). Taking stock of the past: A psychometric evaluation of the Autobiographical Interview. Behavior Research Methods. 56(2). 1002–1038. 7 indexed citations

Mwilambwe-Tshilobo, Laetitia, Sara Fernández‐Cabello, Roni Setton, et al.. (2022). White matter lesion load is associated with lower within- and greater between- network connectivity across older age. Neurobiology of Aging. 112. 170–180. 12 indexed citations

Spreng, R. Nathan, Roni Setton, Elizabeth DuPré, et al.. (2022). Neurocognitive aging data release with behavioral, structural and multi-echo functional MRI measures. Scientific Data. 9(1). 119–119. 24 indexed citations

Sevinc, Günes, Laetitia Mwilambwe-Tshilobo, Roni Setton, et al.. (2021). Age differences in intuitive moral decision-making: Associations with inter-network neural connectivity.. Psychology and Aging. 36(8). 902–916. 12 indexed citations

Setton, Roni, Amber W. Lockrow, Gary R. Turner, & R. Nathan Spreng. (2021). Troubled past: A critical psychometric assessment of the self-report Survey of Autobiographical Memory (SAM). Behavior Research Methods. 54(1). 261–286. 11 indexed citations

Anderson, John A. E., et al.. (2019). Sex differences in the relationship between cardiorespiratory fitness and brain function in older adulthood. Journal of Applied Physiology. 126(4). 1032–1041. 17 indexed citations

Spreng, R. Nathan, et al.. (2017). Semanticized autobiographical memory and the default – executive coupling hypothesis of aging. Neuropsychologia. 110. 37–43. 67 indexed citations

Spreng, R. Nathan, et al.. (2017). Financial Exploitation Is Associated With Structural and Functional Brain Differences in Healthy Older Adults. The Journals of Gerontology Series A. 72(10). 1365–1368. 47 indexed citations

Brigard, Felipe De, et al.. (2016). Characterizing the subjective experience of episodic past, future, and counterfactual thinking in healthy younger and older adults. Quarterly Journal of Experimental Psychology. 69(12). 2358–2375. 32 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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