Dagmar Zeithamová
- Cognitive Neuroscience top 1%
- Developmental and Educational Psychology top 2%
- Cellular and Molecular Neuroscience top 5%
- Experimental and Cognitive Psychology top 5%
- Artificial Intelligence top 10%
- Co-authors
- Alison R. PrestonW. Todd MaddoxCaitlin R. BowmanMargaret L. SchlichtingDavid M. SchnyerDavid E. WarrenAnisha P. AdkeDaniel Tranel
- Topics
- Memory and Neural Mechanisms (22 papers)Child and Animal Learning Development (21 papers)Memory Processes and Influences (14 papers)
- Journals
- NeuronJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Dagmar Zeithamová
39 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 99
- Cognitive Neuroscience 1.6k
- Developmental and Educational Psychology 624
- Cellular and Molecular Neuroscience 409
- Experimental and Cognitive Psychology 242
- Artificial Intelligence 164
Countries citing papers authored by Dagmar Zeithamová
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 20 | |
| 9 | 18 | |
| 10 | 35 | |
| 11 | 49 | |
| 12 | 20 | |
| 13 | 67 | |
| 14 | 31 | |
| 15 | 170 | |
| 16 | 109 | |
| 17 | 369 | |
| 18 | 14 | |
| 19 | 19 | |
| 20 | 89 |
About Dagmar Zeithamová
Dagmar Zeithamová is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Behavioral Neuroscience, having authored 44 papers that have together received 1.9k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (22 papers), Child and Animal Learning Development (21 papers) and Memory Processes and Influences (14 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Developmental and Educational Psychology (624 citations) and General Decision Sciences (42 citations). Dagmar Zeithamová has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Alison R. Preston, W. Todd Maddox, Caitlin R. Bowman, Margaret L. Schlichting, David M. Schnyer, David E. Warren, Anisha P. Adke, Daniel Tranel, Melissa C. Duff and Elliot T. Berkman. Their work appears in journals such as Neuron, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.