Luiz Antonio Baccalá
- Cognitive Neuroscience top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Koichi SameshimaMiguel A. L. NicolelisDaniel Y. TakahashiJohn K. ChapinRick C.S. LinErika E. FanselowMauro UrsinoLaura Astolfi
- Topics
- Neural dynamics and brain function (26 papers)Blind Source Separation Techniques (22 papers)Functional Brain Connectivity Studies (19 papers)
- Partner nations
- BrazilUnited StatesChina
In The Last Decade
Luiz Antonio Baccalá
62 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Cognitive Neuroscience 2.8k
- Cellular and Molecular Neuroscience 733
- Signal Processing 366
- Artificial Intelligence 266
- Radiology, Nuclear Medicine and Imaging 229
Countries citing papers authored by Luiz Antonio Baccalá
This map shows the geographic impact of Luiz Antonio Baccalá'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 Luiz Antonio Baccalá with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luiz Antonio Baccalá more than expected).
Fields of papers citing papers by Luiz Antonio Baccalá
This network shows the impact of papers produced by Luiz Antonio Baccalá. 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 Luiz Antonio Baccalá. The network helps show where Luiz Antonio Baccalá may publish in the future.
Co-authorship network of co-authors of Luiz Antonio Baccalá
This figure shows the co-authorship network connecting the top 25 collaborators of Luiz Antonio Baccalá. A scholar is included among the top collaborators of Luiz Antonio Baccalá 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 Luiz Antonio Baccalá. Luiz Antonio Baccalá is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 64 | |
| 9 | 89 | |
| 10 | 25 | |
| 11 | 116 | |
| 12 | 298 | |
| 13 | 20 | |
| 14 | Partial directed coherence: a new concept in neural structure determinationbreakdown → | 1258 |
| 15 | 69 | |
| 16 | 260 | |
| 17 | 439 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 3 |
About Luiz Antonio Baccalá
Luiz Antonio Baccalá is a scholar working on Signal Processing, Cognitive Neuroscience and Statistical and Nonlinear Physics, having authored 63 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neural dynamics and brain function (26 papers), Blind Source Separation Techniques (22 papers) and Functional Brain Connectivity Studies (19 papers). The work is most often cited by research in Cognitive Neuroscience (2.8k citations), Cellular and Molecular Neuroscience (733 citations) and Signal Processing (366 citations). Luiz Antonio Baccalá has collaborated with scholars based in Brazil, United States and China. Frequent co-authors include Koichi Sameshima, Miguel A. L. Nicolelis, Daniel Y. Takahashi, John K. Chapin, Rick C.S. Lin, Erika E. Fanselow, Mauro Ursino, Laura Astolfi, Febo Cincotti and Donatella Mattia. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Epidemiology.
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.