Zara M. Bergström

1.3k total citations
28 papers, 911 citations indexed

About

Zara M. Bergström is a scholar working on Cognitive Neuroscience, Social Psychology and Experimental and Cognitive Psychology. According to data from OpenAlex, Zara M. Bergström has authored 28 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Cognitive Neuroscience, 10 papers in Social Psychology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Zara M. Bergström's work include Memory Processes and Influences (17 papers), Neural and Behavioral Psychology Studies (15 papers) and Memory and Neural Mechanisms (14 papers). Zara M. Bergström is often cited by papers focused on Memory Processes and Influences (17 papers), Neural and Behavioral Psychology Studies (15 papers) and Memory and Neural Mechanisms (14 papers). Zara M. Bergström collaborates with scholars based in United Kingdom, United States and Germany. Zara M. Bergström's co-authors include Alan Richardson‐Klavehn, Jon S. Simons, Jan W. de Fockert, Xiaoqing Hu, Jan de Fockert, Michael C. Anderson, Alex Fornito, Max Velmans, Pierre Gagnepain and Galen V. Bodenhausen and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and NeuroImage.

In The Last Decade

Zara M. Bergström

28 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zara M. Bergström United Kingdom 15 818 191 157 103 65 28 911
Roland Nigbur Germany 10 1.0k 1.2× 212 1.1× 124 0.8× 107 1.0× 67 1.0× 10 1.1k
Constantino Méndez‐Bértolo Spain 13 740 0.9× 287 1.5× 194 1.2× 97 0.9× 37 0.6× 27 873
David Luque Spain 15 557 0.7× 160 0.8× 87 0.6× 128 1.2× 39 0.6× 59 714
Nurit Gronau Israel 14 814 1.0× 129 0.7× 242 1.5× 119 1.2× 85 1.3× 32 1.0k
Takahiro Soshi Japan 13 352 0.4× 196 1.0× 101 0.6× 72 0.7× 43 0.7× 48 557
Qian Luo China 15 890 1.1× 220 1.2× 169 1.1× 159 1.5× 88 1.4× 27 1.1k
Krystyna A. Mathiak Germany 18 638 0.8× 258 1.4× 129 0.8× 115 1.1× 70 1.1× 32 919
Stephan Boehm United Kingdom 17 1.1k 1.4× 308 1.6× 205 1.3× 72 0.7× 47 0.7× 32 1.3k
Erik A. Wing United States 17 690 0.8× 130 0.7× 68 0.4× 132 1.3× 43 0.7× 24 856
Jacqueline Scholl United Kingdom 13 599 0.7× 138 0.7× 82 0.5× 37 0.4× 55 0.8× 25 759

Countries citing papers authored by Zara M. Bergström

Since Specialization
Citations

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

Fields of papers citing papers by Zara M. Bergström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zara M. Bergström. 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 Zara M. Bergström. The network helps show where Zara M. Bergström may publish in the future.

Co-authorship network of co-authors of Zara M. Bergström

This figure shows the co-authorship network connecting the top 25 collaborators of Zara M. Bergström. A scholar is included among the top collaborators of Zara M. Bergström 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 Zara M. Bergström. Zara M. Bergström 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.
Bergström, Zara M., et al.. (2024). Counterfactual imagination impairs memory for true actions: EEG and behavioural evidence. Cognitive Neuroscience. 15(1). 12–23. 1 indexed citations
2.
Sutton, Robbie M., et al.. (2023). Are we smart enough to remember how smart animals are?. Journal of Experimental Psychology General. 152(8). 2138–2159. 6 indexed citations
3.
Anderson, Michael C., et al.. (2022). EEG evidence that morally relevant autobiographical memories can be suppressed. Cognitive Affective & Behavioral Neuroscience. 22(6). 1290–1310. 10 indexed citations
4.
Sutton, Robbie M., et al.. (2022). Changing minds about minds: Evidence that people are too sceptical about animal sentience. Cognition. 230. 105263–105263. 13 indexed citations
5.
Bowman, Howard, et al.. (2021). Aging reduces EEG markers of recognition despite intact performance: Implications for forensic memory detection. Cortex. 140. 80–97. 7 indexed citations
6.
Bergström, Zara M., et al.. (2020). Intact strategic retrieval processes in older adults: no evidence for age-related deficits in source-constrained retrieval. Memory. 28(3). 348–361. 2 indexed citations
7.
Allen, J. A., et al.. (2020). Distraction by unintentional recognition: Neurocognitive mechanisms and effects of aging.. Psychology and Aging. 35(5). 639–653. 7 indexed citations
8.
Hu, Xiaoqing, et al.. (2019). Imagining a false alibi impairs concealed memory detection with the autobiographical Implicit Association Test.. Journal of Experimental Psychology Applied. 26(2). 266–282. 8 indexed citations
9.
Gruber, Matthias J., et al.. (2018). Alpha Oscillations during Incidental Encoding Predict Subsequent Memory for New “Foil” Information. Journal of Cognitive Neuroscience. 30(5). 667–679. 13 indexed citations
10.
Bergström, Zara M., et al.. (2017). Reduced multimodal integration of memory features following continuous theta burst stimulation of angular gyrus. Brain stimulation. 10(3). 624–629. 55 indexed citations
11.
Hu, Xiaoqing, Zara M. Bergström, Pierre Gagnepain, & Michael C. Anderson. (2017). Suppressing Unwanted Memories Reduces Their Unintended Influences. Current Directions in Psychological Science. 26(2). 197–206. 67 indexed citations
12.
Bonnici, Heidi M., et al.. (2016). Goal-directed mechanisms that constrain retrieval predict subsequent memory for new “foil” information. Neuropsychologia. 89. 356–363. 8 indexed citations
13.
Bergström, Zara M., et al.. (2014). Reflections of Oneself: Neurocognitive Evidence for Dissociable Forms of Self-Referential Recollection. Cerebral Cortex. 25(9). 2648–2657. 16 indexed citations
14.
Bergström, Zara M., et al.. (2014). Continuous Theta Burst Stimulation of Angular Gyrus Reduces Subjective Recollection. PLoS ONE. 9(10). e110414–e110414. 68 indexed citations
15.
Bergström, Zara M., et al.. (2013). Intentional retrieval suppression can conceal guilty knowledge in ERP memory detection tests. Biological Psychology. 94(1). 1–11. 34 indexed citations
16.
Brandt, Valerie, et al.. (2013). Did I turn off the gas? Reality monitoring of everyday actions. Cognitive Affective & Behavioral Neuroscience. 14(1). 209–219. 16 indexed citations
17.
Bergström, Zara M., Richard N. Henson, Jason R. Taylor, & Jon S. Simons. (2012). Multimodal imaging reveals the spatiotemporal dynamics of recollection. NeuroImage. 68. 141–153. 30 indexed citations
18.
Fockert, Jan W. de, et al.. (2009). Behavioral and ERP evidence of greater distractor processing in old age. Brain Research. 1282. 67–73. 58 indexed citations
19.
Bergström, Zara M., Jan W. de Fockert, & Alan Richardson‐Klavehn. (2009). ERP and behavioural evidence for direct suppression of unwanted memories. NeuroImage. 48(4). 726–737. 111 indexed citations
20.
Bergström, Zara M., Max Velmans, Jan de Fockert, & Alan Richardson‐Klavehn. (2007). ERP evidence for successful voluntary avoidance of conscious recollection. Brain Research. 1151. 119–133. 81 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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