Danuta Kowalska
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience
- Social Psychology
- Sensory Systems top 10%
- Genetics
- Co-authors
- Mortimer MishkinJocelyne BachevalierPaweł KuśmierekK ZielińskiA KosmalMonika MalinowskaJohn P. AggletonMatthew W. Brown
- Topics
- Memory and Neural Mechanisms (10 papers)Neuroendocrine regulation and behavior (9 papers)Human-Animal Interaction Studies (8 papers)
- Partner nations
- PolandUnited StatesCanada
In The Last Decade
Danuta Kowalska
20 papers receiving 359 citations
Peers
Comparison fields: 5 of 66
- Cognitive Neuroscience 266
- Cellular and Molecular Neuroscience 90
- Social Psychology 76
- Sensory Systems 56
- Genetics 44
Countries citing papers authored by Danuta Kowalska
This map shows the geographic impact of Danuta Kowalska'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 Danuta Kowalska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danuta Kowalska more than expected).
Fields of papers citing papers by Danuta Kowalska
This network shows the impact of papers produced by Danuta Kowalska. 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 Danuta Kowalska. The network helps show where Danuta Kowalska may publish in the future.
Co-authorship network of co-authors of Danuta Kowalska
This figure shows the co-authorship network connecting the top 25 collaborators of Danuta Kowalska. A scholar is included among the top collaborators of Danuta Kowalska 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 Danuta Kowalska. Danuta Kowalska 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 | 3 | |
| 3 | 1 | |
| 4 | Ocena możliwości wykorzystania tomografii komputerowej CT do badania betonów nawierzchniowych | 1 |
| 5 | 6 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 32 | |
| 9 | 56 | |
| 10 | 14 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 14 | |
| 14 | 27 | |
| 15 | 25 | |
| 16 | 109 | |
| 17 | Differentiation learning and auditory generalization in normal and prefrontal dogs after extensive avoidance training. | 5 |
| 18 | Asymmetrical versus symmetrical "go-no go" avoidance differentiation in dogs. | 3 |
| 19 | Auditory frequency generalization with differing extinction influences in normal and prefrontal dogs trained in instrumental alimentary reflexes. | 12 |
| 20 | Retention of symmetrical go--no go avoidance differentiation after prefrontal lesions in dogs. | 8 |
About Danuta Kowalska
Danuta Kowalska is a scholar working on Developmental Biology, Cognitive Neuroscience and Sensory Systems, having authored 23 papers that have together received 389 indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (10 papers), Neuroendocrine regulation and behavior (9 papers) and Human-Animal Interaction Studies (8 papers). The work is most often cited by research in Developmental Biology (43 citations), Cognitive Neuroscience (266 citations) and Sensory Systems (56 citations). Danuta Kowalska has collaborated with scholars based in Poland, United States and Canada. Frequent co-authors include Mortimer Mishkin, Jocelyne Bachevalier, Paweł Kuśmierek, K Zieliński, A Kosmal, Monika Malinowska, John P. Aggleton, Matthew W. Brown, Huihui Wan and James F. Brennan. Their work appears in journals such as The Journal of Comparative Neurology, Neuroscience and Neuropsychologia.
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.