Joseph G. Makin
- Cognitive Neuroscience top 5%
- Cellular and Molecular Neuroscience top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Signal Processing top 10%
- Co-authors
- Edward F. ChangDavid A. MosesMatthew K. LeonardPhilip N. SabesMaximilian E. DoughertyJessie R. LiuJosh ChartierGary Abrams
- Topics
- Neural dynamics and brain function (7 papers)EEG and Brain-Computer Interfaces (4 papers)Visual perception and processing mechanisms (2 papers)
- Partner nations
- United StatesKenya
In The Last Decade
Joseph G. Makin
11 papers receiving 680 citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cognitive Neuroscience 553
- Cellular and Molecular Neuroscience 216
- Electrical and Electronic Engineering 160
- Artificial Intelligence 112
- Signal Processing 80
Countries citing papers authored by Joseph G. Makin
This map shows the geographic impact of Joseph G. Makin'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 Joseph G. Makin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph G. Makin more than expected).
Fields of papers citing papers by Joseph G. Makin
This network shows the impact of papers produced by Joseph G. Makin. 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 Joseph G. Makin. The network helps show where Joseph G. Makin may publish in the future.
Co-authorship network of co-authors of Joseph G. Makin
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph G. Makin. A scholar is included among the top collaborators of Joseph G. Makin 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 Joseph G. Makin. Joseph G. Makin 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 | 0 | |
| 3 | Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthriabreakdown → | 263 |
| 4 | 190 | |
| 5 | 149 | |
| 6 | 39 | |
| 7 | 10 | |
| 8 | Sensory Integration and Density Estimation | 2 |
| 9 | 40 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | A computational model of human blood clottings: simulation, analysis, control, and validation | 2 |
| 13 | 1 |
About Joseph G. Makin
Joseph G. Makin is a scholar working on Developmental Biology, Cognitive Neuroscience and Hematology, having authored 13 papers that have together received 703 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (4 papers) and Visual perception and processing mechanisms (2 papers). The work is most often cited by research in Cognitive Neuroscience (553 citations), Cellular and Molecular Neuroscience (216 citations) and Signal Processing (80 citations). Joseph G. Makin has collaborated with scholars based in United States and Kenya. Frequent co-authors include Edward F. Chang, David A. Moses, Matthew K. Leonard, Philip N. Sabes, Maximilian E. Dougherty, Jessie R. Liu, Josh Chartier, Gary Abrams, Karunesh Ganguly and Adelyn Tu-Chan. Their work appears in journals such as New England Journal of Medicine, Nature Communications and Nature 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.