Katalin M. Gothard
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 1%
- Social Psychology top 1%
- Sensory Systems top 0.5%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Bruce L. McNaughtonWilliam E. SkaggsClayton P. MosherDavid G. AmaralC. A. EricksonCarol A. BarnesPrisca E. ZimmermanKevin Spitler
- Topics
- Memory and Neural Mechanisms (19 papers)Face Recognition and Perception (12 papers)Neural dynamics and brain function (10 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Katalin M. Gothard
45 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cognitive Neuroscience 2.8k
- Cellular and Molecular Neuroscience 1.3k
- Social Psychology 809
- Sensory Systems 476
- Experimental and Cognitive Psychology 450
Countries citing papers authored by Katalin M. Gothard
This map shows the geographic impact of Katalin M. Gothard'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 Katalin M. Gothard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katalin M. Gothard more than expected).
Fields of papers citing papers by Katalin M. Gothard
This network shows the impact of papers produced by Katalin M. Gothard. 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 Katalin M. Gothard. The network helps show where Katalin M. Gothard may publish in the future.
Co-authorship network of co-authors of Katalin M. Gothard
This figure shows the co-authorship network connecting the top 25 collaborators of Katalin M. Gothard. A scholar is included among the top collaborators of Katalin M. Gothard 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 Katalin M. Gothard. Katalin M. Gothard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 8 | |
| 5 | 25 | |
| 6 | 7 | |
| 7 | 22 | |
| 8 | 57 | |
| 9 | 40 | |
| 10 | 17 | |
| 11 | 28 | |
| 12 | 97 | |
| 13 | 113 | |
| 14 | 88 | |
| 15 | 74 | |
| 16 | 44 | |
| 17 | 54 | |
| 18 | 255 | |
| 19 | 157 | |
| 20 | An Information-Theoretic Approach to Deciphering the Hippocampal Code | 351 |
About Katalin M. Gothard
Katalin M. Gothard is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 3.5k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (19 papers), Face Recognition and Perception (12 papers) and Neural dynamics and brain function (10 papers). The work is most often cited by research in Cognitive Neuroscience (2.8k citations), Sensory Systems (476 citations) and Cellular and Molecular Neuroscience (1.3k citations). Katalin M. Gothard has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Bruce L. McNaughton, William E. Skaggs, Clayton P. Mosher, David G. Amaral, C. A. Erickson, Carol A. Barnes, Prisca E. Zimmerman, Kevin Spitler, Kari L. Hoffman and Francesco P. Battaglia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuron and Journal of Neuroscience.
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.