Dagmar Zeithamová

3.1k total citations
44 papers, 1.9k citations indexed

About

Dagmar Zeithamová is a scholar working on Cognitive Neuroscience, Developmental and Educational Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Dagmar Zeithamová has authored 44 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 22 papers in Developmental and Educational Psychology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Dagmar Zeithamová's work include Memory and Neural Mechanisms (22 papers), Child and Animal Learning Development (21 papers) and Memory Processes and Influences (14 papers). Dagmar Zeithamová is often cited by papers focused on Memory and Neural Mechanisms (22 papers), Child and Animal Learning Development (21 papers) and Memory Processes and Influences (14 papers). Dagmar Zeithamová collaborates with scholars based in United States, Canada and Netherlands. Dagmar Zeithamová's co-authors include Alison R. Preston, W. Todd Maddox, Caitlin R. Bowman, Margaret L. Schlichting, David M. Schnyer, Daniel Tranel, Melissa C. Duff, Anisha P. Adke, David E. Warren and Danielle Cosme and has published in prestigious journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Dagmar Zeithamová

39 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagmar Zeithamová United States 21 1.6k 624 409 242 164 44 1.9k
Aidan J. Horner United Kingdom 27 1.9k 1.2× 410 0.7× 329 0.8× 304 1.3× 117 0.7× 55 2.1k
Margaret L. Schlichting Canada 16 1.3k 0.8× 373 0.6× 506 1.2× 149 0.6× 95 0.6× 37 1.6k
Marlieke Van Kesteren Netherlands 16 1.8k 1.1× 387 0.6× 344 0.8× 333 1.4× 124 0.8× 22 2.2k
Rachel A. Diana United States 18 1.9k 1.2× 287 0.5× 408 1.0× 176 0.7× 115 0.7× 33 2.1k
Atsuko Takashima Netherlands 28 2.9k 1.8× 618 1.0× 605 1.5× 642 2.7× 154 0.9× 61 3.2k
Brice A. Kuhl United States 26 2.5k 1.6× 291 0.5× 423 1.0× 385 1.6× 137 0.8× 44 2.8k
Ruth de Diego‐Balaguer Spain 26 1.6k 1.0× 782 1.3× 199 0.5× 402 1.7× 73 0.4× 59 2.0k
Janice Chen United States 19 2.4k 1.5× 295 0.5× 283 0.7× 393 1.6× 198 1.2× 45 2.8k
Almut Hupbach United States 17 1.3k 0.8× 382 0.6× 381 0.9× 260 1.1× 82 0.5× 37 1.6k
Mimi Liljeholm United States 15 786 0.5× 197 0.3× 417 1.0× 180 0.7× 151 0.9× 34 1.3k

Countries citing papers authored by Dagmar Zeithamová

Since Specialization
Citations

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

Fields of papers citing papers by Dagmar Zeithamová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dagmar Zeithamová. 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 Dagmar Zeithamová. The network helps show where Dagmar Zeithamová may publish in the future.

Co-authorship network of co-authors of Dagmar Zeithamová

This figure shows the co-authorship network connecting the top 25 collaborators of Dagmar Zeithamová. A scholar is included among the top collaborators of Dagmar Zeithamová 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 Dagmar Zeithamová. Dagmar Zeithamová 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.
Zeithamová, Dagmar, et al.. (2024). Successful generalization of conceptual knowledge after training to remember specific events. SHILAP Revista de lepidopterología. 3.
2.
Zeithamová, Dagmar, et al.. (2023). Evaluating methods for measuring background connectivity in slow event‐related functional magnetic resonance imaging designs. Brain and Behavior. 13(6). e3015–e3015. 6 indexed citations
3.
Zeithamová, Dagmar, et al.. (2023). Category bias in similarity ratings: the influence of perceptual and strategic biases in similarity judgments of faces. SHILAP Revista de lepidopterología. 2.
4.
Bowman, Caitlin R. & Dagmar Zeithamová. (2023). Coherent category training enhances generalization in prototype-based categories.. Journal of Experimental Psychology Learning Memory and Cognition. 49(12). 1923–1942. 4 indexed citations
5.
Zeithamová, Dagmar, et al.. (2023). A combination of restudy and retrieval practice maximizes retention of briefly encountered facts. SHILAP Revista de lepidopterología. 2. 1 indexed citations
6.
Bowman, Caitlin R., et al.. (2022). The effects of age on category learning and prototype- and exemplar-based generalization.. Psychology and Aging. 37(7). 800–815. 5 indexed citations
7.
Zeithamová, Dagmar, et al.. (2021). Category-Biased Neural Representations Form Spontaneously during Learning That Emphasizes Memory for Specific Instances. Journal of Neuroscience. 42(5). 865–876. 7 indexed citations
8.
Cosme, Danielle, Dagmar Zeithamová, Eric Stice, & Elliot T. Berkman. (2020). Multivariate neural signatures for health neuroscience: assessing spontaneous regulation during food choice. Social Cognitive and Affective Neuroscience. 15(10). 1120–1134. 20 indexed citations
9.
Bowman, Caitlin R., et al.. (2020). Tracking prototype and exemplar representations in the brain across learning. eLife. 9. 43 indexed citations
10.
Zeithamová, Dagmar, Michael L. Mack, Kurt Braunlich, et al.. (2019). Brain Mechanisms of Concept Learning. Journal of Neuroscience. 39(42). 8259–8266. 49 indexed citations
11.
Zeithamová, Dagmar, et al.. (2018). Abstract Representation of Prospective Reward in the Hippocampus. Journal of Neuroscience. 38(47). 10093–10101. 20 indexed citations
12.
Zeithamová, Dagmar, et al.. (2018). Decreased Prefrontal Activation during Matrix Reasoning in Predementia Progranulin Mutation Carriers. Journal of Alzheimer s Disease. 62(2). 583–589. 6 indexed citations
13.
Zeithamová, Dagmar, et al.. (2017). Trial timing and pattern-information analyses of fMRI data. NeuroImage. 153. 221–231. 31 indexed citations
14.
Zeithamová, Dagmar, et al.. (2012). Reward Modulation of Hippocampal Subfield Activation during Successful Associative Encoding and Retrieval. Journal of Cognitive Neuroscience. 24(7). 1532–1547. 109 indexed citations
15.
Zeithamová, Dagmar, Margaret L. Schlichting, & Alison R. Preston. (2012). The hippocampus and inferential reasoning: building memories to navigate future decisions. Frontiers in Human Neuroscience. 6. 70–70. 170 indexed citations
16.
Zeithamová, Dagmar, et al.. (2012). Hippocampal and Ventral Medial Prefrontal Activation during Retrieval-Mediated Learning Supports Novel Inference. Neuron. 75(1). 168–179. 369 indexed citations
17.
Maddox, W. Todd, et al.. (2011). The Effects of Sleep Deprivation on Dissociable Prototype Learning Systems. SLEEP. 34(3). 253–260. 14 indexed citations
18.
Zeithamová, Dagmar & W. Todd Maddox. (2009). Learning mode and exemplar sequencing in unsupervised category learning.. Journal of Experimental Psychology Learning Memory and Cognition. 35(3). 731–741. 19 indexed citations
19.
Maddox, W. Todd, Dagmar Zeithamová, & David M. Schnyer. (2009). Dissociable Processes in Classification: Implications From Sleep Deprivation. Military Psychology. 21(sup1). S55–S61. 1 indexed citations
20.
Zeithamová, Dagmar, W. Todd Maddox, & David M. Schnyer. (2008). Dissociable Prototype Learning Systems: Evidence from Brain Imaging and Behavior. Journal of Neuroscience. 28(49). 13194–13201. 89 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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