Christopher J. MacDonald
- Cognitive Neuroscience top 1%
- Cellular and Molecular Neuroscience top 2%
- Social Psychology top 5%
- Experimental and Cognitive Psychology top 10%
- Sensory Systems top 5%
- Co-authors
- Howard EichenbaumUri T. EdenKyle Q. LepageWarren H. MeckSusumu TonegawaRyan PlaceSteve RamirezXu Liu
- Topics
- Memory and Neural Mechanisms (11 papers)Neuroscience and Neuropharmacology Research (9 papers)Neuroscience and Music Perception (6 papers)
- Partner nations
- United StatesUnited KingdomSingapore
In The Last Decade
Christopher J. MacDonald
20 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Cognitive Neuroscience 1.6k
- Cellular and Molecular Neuroscience 863
- Social Psychology 188
- Experimental and Cognitive Psychology 133
- Sensory Systems 129
Countries citing papers authored by Christopher J. MacDonald
This map shows the geographic impact of Christopher J. MacDonald'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 Christopher J. MacDonald with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher J. MacDonald more than expected).
Fields of papers citing papers by Christopher J. MacDonald
This network shows the impact of papers produced by Christopher J. MacDonald. 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 Christopher J. MacDonald. The network helps show where Christopher J. MacDonald may publish in the future.
Co-authorship network of co-authors of Christopher J. MacDonald
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. MacDonald. A scholar is included among the top collaborators of Christopher J. MacDonald 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 Christopher J. MacDonald. Christopher J. MacDonald is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | Fast maximum likelihood estimation using continuous-time neural point process models | 0 |
| 3 | 65 | |
| 4 | 245 | |
| 5 | 124 | |
| 6 | 33 | |
| 7 | 39 | |
| 8 | 2 | |
| 9 | 31 | |
| 10 | 194 | |
| 11 | 51 | |
| 12 | 15 | |
| 13 | 9 | |
| 14 | Hippocampal “Time Cells” Bridge the Gap in Memory for Discontiguous Eventsbreakdown → | 751 |
| 15 | 59 | |
| 16 | 58 | |
| 17 | 101 | |
| 18 | 22 | |
| 19 | 75 | |
| 20 | 12 |
About Christopher J. MacDonald
Christopher J. MacDonald is a scholar working on Cognitive Neuroscience, Sensory Systems and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 1.9k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (9 papers) and Neuroscience and Music Perception (6 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Cellular and Molecular Neuroscience (863 citations) and Behavioral Neuroscience (98 citations). Christopher J. MacDonald has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Howard Eichenbaum, Uri T. Eden, Kyle Q. Lepage, Warren H. Meck, Susumu Tonegawa, Ryan Place, Steve Ramirez, Xu Liu, Roger L. Redondo and Joanne Zhou. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.
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.