Kristofer E. Bouchard
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 20
- EEG and Brain-Computer Interfaces 10
- Functional Brain Connectivity Studies 8
- Neuroscience and Music Perception 6
- Developmental Biology top 5%
- Signal Processing top 10%
- Blind Source Separation Techniques 6
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- Advanced Memory and Neural Computing 7
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- Marine animal studies overview 5
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- Animal Behavior and Reproduction 5
- Co-authors
- Edward F. ChangKeith JohnsonNima MesgaraniMatthew K. LeonardMichael S. BrainardClaire TangSarah J. TabriziPaul J. Muchowski
- Journals
- Journal of Neuroscience (7 papers)PLoS Computational Biology (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
Kristofer E. Bouchard
49 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Cognitive Neuroscience 813
- Developmental Biology 78
- Cellular and Molecular Neuroscience 331
- Experimental and Cognitive Psychology 160
- Signal Processing 92
Countries citing papers authored by Kristofer E. Bouchard
This map shows the geographic impact of Kristofer E. Bouchard'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 Kristofer E. Bouchard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristofer E. Bouchard more than expected).
Fields of papers citing papers by Kristofer E. Bouchard
This network shows the impact of papers produced by Kristofer E. Bouchard. 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 Kristofer E. Bouchard. The network helps show where Kristofer E. Bouchard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kristofer E. Bouchard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 6 | |
| 5 | 2021 | 30 | |
| 6 | 2021 | 1 | |
| 7 | 2021 | 12 | |
| 8 | Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models | 2020 | 2 |
| 9 | 2019 | 3 | |
| 10 | 2019 | 3 | |
| 11 | 2019 | 48 | |
| 12 | 2018 | 40 | |
| 13 | The Union of Intersections (UoI) method for interpretable data driven discovery and prediction | 2017 | 1 |
| 14 | 2017 | 6 | |
| 15 | 2017 | 9 | |
| 16 | 2016 | 22 | |
| 17 | 2016 | 44 | |
| 18 | 2016 | 5 | |
| 19 | 2015 | 14 | |
| 20 | 2014 | 44 |
About Kristofer E. Bouchard
Kristofer E. Bouchard is a scholar working on Developmental Biology, Cognitive Neuroscience, Biophysics, Signal Processing and Information Systems and Management, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (20 papers), EEG and Brain-Computer Interfaces (10 papers), Functional Brain Connectivity Studies (8 papers), Advanced Memory and Neural Computing (7 papers), Blind Source Separation Techniques (6 papers), Neuroscience and Music Perception (6 papers), Marine animal studies overview (5 papers) and Animal Behavior and Reproduction (5 papers). The work is most often cited by research in Cognitive Neuroscience (813 citations), Developmental Biology (78 citations), Cellular and Molecular Neuroscience (331 citations), Experimental and Cognitive Psychology (160 citations) and Signal Processing (92 citations). Kristofer E. Bouchard has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Edward F. Chang, Keith Johnson, Nima Mesgarani, Matthew K. Leonard, Michael S. Brainard, Claire Tang, Sarah J. Tabrizi, Paul J. Muchowski, Sandrine Desrayaud and Jennifer K. Truong. Their work appears in journals such as Journal of Neuroscience, PLoS Computational Biology, Scientific Reports, Frontiers in Neuroinformatics and PLoS ONE.
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.