Leonard J. Trejo
- Cognitive Neuroscience top 2%
- Control and Systems Engineering top 5%
- Analytical Chemistry top 1%
- Cellular and Molecular Neuroscience top 5%
- Artificial Intelligence top 5%
- Co-authors
- Roman RosipalBryan MatthewsCarol M. CiceroneArthur F. KramerAndrzej CichockiMark GirolamiLeslie D. MontgomeryKarla A. Kubitz
- Topics
- EEG and Brain-Computer Interfaces (12 papers)Blind Source Separation Techniques (8 papers)Spectroscopy and Chemometric Analyses (4 papers)
- Partner nations
- United StatesSlovakiaAustria
In The Last Decade
Leonard J. Trejo
28 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Cognitive Neuroscience 732
- Control and Systems Engineering 344
- Analytical Chemistry 328
- Cellular and Molecular Neuroscience 300
- Artificial Intelligence 253
Countries citing papers authored by Leonard J. Trejo
This map shows the geographic impact of Leonard J. Trejo'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 Leonard J. Trejo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard J. Trejo more than expected).
Fields of papers citing papers by Leonard J. Trejo
This network shows the impact of papers produced by Leonard J. Trejo. 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 Leonard J. Trejo. The network helps show where Leonard J. Trejo may publish in the future.
Co-authorship network of co-authors of Leonard J. Trejo
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard J. Trejo. A scholar is included among the top collaborators of Leonard J. Trejo 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 Leonard J. Trejo. Leonard J. Trejo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Novel Hybrid Sensors for Unobtrusive Recording of Human Biopotentials | 0 |
| 3 | 15 | |
| 4 | 189 | |
| 5 | 29 | |
| 6 | 5 | |
| 7 | 2 | |
| 8 | Kernel PLS-SVC for linear and nonlinear classification | 62 |
| 9 | 47 | |
| 10 | Kernel partial least squares regression in reproducing kernel hilbert spacebreakdown → | 694 |
| 11 | Multimodal Neuroelectric Interface Development: A Survey of Research at NASA Ames Research Center | 1 |
| 12 | Multimodal Neuroelectric Interface Development | 8 |
| 13 | Kernel Principal Component Regression with EM Approach to Nonlinear Principal Components Extraction | 15 |
| 14 | 37 | |
| 15 | Octave-Band Thresholds for Modeled Reverberant Fields | 1 |
| 16 | 133 | |
| 17 | 22 | |
| 18 | 84 | |
| 19 | 9 | |
| 20 | 132 |
About Leonard J. Trejo
Leonard J. Trejo is a scholar working on Computational Mathematics, Cognitive Neuroscience and Signal Processing, having authored 31 papers that have together received 1.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (8 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Cognitive Neuroscience (732 citations), Analytical Chemistry (328 citations) and Computational Mathematics (15 citations). Leonard J. Trejo has collaborated with scholars based in United States, Slovakia and Austria. Frequent co-authors include Roman Rosipal, Bryan Matthews, Carol M. Cicerone, Arthur F. Kramer, Andrzej Cichocki, Mark Girolami, Leslie D. Montgomery, Karla A. Kubitz, M. Shensa and Kevin Wheeler. Their work appears in journals such as Brain Research, Vision Research and Psychophysiology.
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.