Marc W. Howard
- Cognitive Neuroscience top 0.2%
- Cellular and Molecular Neuroscience top 1%
- Artificial Intelligence top 2%
- Developmental and Educational Psychology top 1%
- Experimental and Cognitive Psychology top 2%
- Co-authors
- Michael J. KahanaHoward EichenbaumPer B. SederbergKarthik H. ShankarMichael E. HasselmoElizabeth DonnerJoseph R. MadsenZoran Tiganj
- Topics
- Memory and Neural Mechanisms (37 papers)Neural dynamics and brain function (30 papers)Memory Processes and Influences (30 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceDevelopmental and Educational Psychology
- Partner nations
- United StatesIsraelSouth Korea
In The Last Decade
Marc W. Howard
73 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Cognitive Neuroscience 5.2k
- Cellular and Molecular Neuroscience 1.6k
- Artificial Intelligence 829
- Developmental and Educational Psychology 724
- Experimental and Cognitive Psychology 534
Countries citing papers authored by Marc W. Howard
This map shows the geographic impact of Marc W. Howard'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 Marc W. Howard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc W. Howard more than expected).
Fields of papers citing papers by Marc W. Howard
This network shows the impact of papers produced by Marc W. Howard. 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 Marc W. Howard. The network helps show where Marc W. Howard may publish in the future.
Co-authorship network of co-authors of Marc W. Howard
This figure shows the co-authorship network connecting the top 25 collaborators of Marc W. Howard. A scholar is included among the top collaborators of Marc W. Howard 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 Marc W. Howard. Marc W. Howard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A computational model for simulating the future using a memory timeline | 1 |
| 2 | 2 | |
| 3 | 53 | |
| 4 | 1 | |
| 5 | 34 | |
| 6 | Scale Invariant Value Computation for Reinforcement Learning in Continuous Time. | 5 |
| 7 | Efficient neural computation in the Laplace domain | 3 |
| 8 | 124 | |
| 9 | 96 | |
| 10 | Optimally fuzzy scale-free memory | 6 |
| 11 | 62 | |
| 12 | 24 | |
| 13 | 43 | |
| 14 | 286 | |
| 15 | 32 | |
| 16 | 66 | |
| 17 | 88 | |
| 18 | 74 | |
| 19 | 13 | |
| 20 | 122 |
About Marc W. Howard
Marc W. Howard is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 76 papers that have together received 5.8k indexed citations. Recurring topics across this work include Memory and Neural Mechanisms (37 papers), Neural dynamics and brain function (30 papers) and Memory Processes and Influences (30 papers). The work is most often cited by research in Cognitive Neuroscience (5.2k citations), Cellular and Molecular Neuroscience (1.6k citations) and Developmental and Educational Psychology (724 citations). Marc W. Howard has collaborated with scholars based in United States, Israel and South Korea. Frequent co-authors include Michael J. Kahana, Howard Eichenbaum, Per B. Sederberg, Karthik H. Shankar, Michael E. Hasselmo, Elizabeth Donner, Joseph R. Madsen, Zoran Tiganj, Joseph R. Manns and Arthur Wingfield. 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.