Leonard J. Trejo

2.7k total citations · 1 hit paper
31 papers, 1.9k citations indexed

About

Leonard J. Trejo is a scholar working on Cognitive Neuroscience, Signal Processing and Cellular and Molecular Neuroscience. According to data from OpenAlex, Leonard J. Trejo has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 9 papers in Signal Processing and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Leonard J. Trejo's work include EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (8 papers) and Spectroscopy and Chemometric Analyses (4 papers). Leonard J. Trejo is often cited by papers focused on EEG and Brain-Computer Interfaces (12 papers), Blind Source Separation Techniques (8 papers) and Spectroscopy and Chemometric Analyses (4 papers). Leonard J. Trejo collaborates with scholars based in United States, Slovakia and Austria. Leonard J. Trejo's 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 and has published in prestigious journals such as Brain Research, Vision Research and Psychophysiology.

In The Last Decade

Leonard J. Trejo

28 papers receiving 1.8k citations

Hit Papers

Kernel partial least squares regression in reproducing ke... 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leonard J. Trejo United States 16 732 344 328 300 253 31 1.9k
Roman Rosipal Slovakia 14 490 0.7× 404 1.2× 385 1.2× 175 0.6× 297 1.2× 37 1.7k
Hualou Liang United States 28 2.0k 2.8× 193 0.6× 84 0.3× 361 1.2× 363 1.4× 90 3.2k
Michael Eichler Netherlands 22 610 0.8× 311 0.9× 62 0.2× 103 0.3× 252 1.0× 51 1.8k
Hamed Azami United Kingdom 22 707 1.0× 882 2.6× 70 0.2× 69 0.2× 367 1.5× 61 2.5k
Hong-Bo Xie China 19 801 1.1× 302 0.9× 32 0.1× 139 0.5× 246 1.0× 47 2.1k
Marc M. Van Hulle Belgium 35 2.1k 2.8× 195 0.6× 74 0.2× 671 2.2× 819 3.2× 258 4.0k
Ana Maria Tomé Portugal 21 468 0.6× 221 0.6× 82 0.3× 41 0.1× 271 1.1× 136 1.5k
Daniel Rivero Spain 21 976 1.3× 82 0.2× 98 0.3× 189 0.6× 459 1.8× 65 2.2k
Petros Xanthopoulos United States 19 786 1.1× 98 0.3× 49 0.1× 113 0.4× 320 1.3× 53 1.8k

Countries citing papers authored by Leonard J. Trejo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Rosipal, Roman, et al.. (2024). SPECTER - The Signal sPECtrum Tensor decomposition and Eye blink Removal algorithm. Biomedical Signal Processing and Control. 99. 106889–106889. 1 indexed citations
2.
McDonald, N. J., et al.. (2014). Novel Hybrid Sensors for Unobtrusive Recording of Human Biopotentials.
3.
Winkler, István, János Horváth, Júlia Weisz, & Leonard J. Trejo. (2009). Deviance detection in congruent audiovisual speech: Evidence for implicit integrated audiovisual memory representations. Biological Psychology. 82(3). 281–292. 15 indexed citations
4.
Trejo, Leonard J., Roman Rosipal, & Bryan Matthews. (2006). Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 14(2). 225–229. 189 indexed citations
5.
Trejo, Leonard J., et al.. (2005). Measures and models for predicting cognitive fatigue. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5797. 105–105. 29 indexed citations
7.
Trejo, Leonard J., et al.. (2004). Measures and Models for Estimating and Predicting Cognitive Fatigue. NASA Technical Reports Server (NASA). 7(1). 116–7. 2 indexed citations
8.
Rosipal, Roman, Leonard J. Trejo, & Bryan Matthews. (2003). Kernel PLS-SVC for linear and nonlinear classification. International Conference on Machine Learning. 640–647. 62 indexed citations
9.
Trejo, Leonard J., Kevin Wheeler, C.C. Jorgensen, et al.. (2003). Multimodal neuroelectric interface development. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 11(2). 199–203. 47 indexed citations
10.
Rosipal, Roman, Leonard J. Trejo, & Bryan Matthews. (2003). Kernel PLS-SVC for Linear and Nonlinear Discrimination. NASA Technical Reports Server (NASA). 1 indexed citations
11.
Rosipal, Roman & Leonard J. Trejo. (2002). Kernel partial least squares regression in reproducing kernel hilbert space. Journal of Machine Learning Research. 2(2). 97–123. 694 indexed citations breakdown →
12.
Trejo, Leonard J., Kevin Wheeler, Charles C. Jorgensen, et al.. (2002). Multimodal Neuroelectric Interface Development: A Survey of Research at NASA Ames Research Center. 1 indexed citations
13.
Trejo, Leonard J., et al.. (2001). Multimodal Neuroelectric Interface Development. NASA Technical Reports Server (NASA). 8 indexed citations
14.
Trejo, Leonard J. & M. Shensa. (1999). Feature Extraction of Event-Related Potentials Using Wavelets: An Application to Human Performance Monitoring. Brain and Language. 66(1). 89–107. 37 indexed citations
15.
Begault, Durand R., et al.. (1998). Octave-Band Thresholds for Modeled Reverberant Fields. Journal of the Audio Engineering Society. 1 indexed citations
16.
Kramer, Arthur F., et al.. (1995). Assessment of mental workload with task-irrelevant auditory probes. Biological Psychology. 40(1-2). 83–100. 133 indexed citations
17.
Trejo, Leonard J., Arthur F. Kramer, & Josh A. Arnold. (1995). Event-related potentials as indices of display-monitoring performance. Biological Psychology. 40(1-2). 33–71. 22 indexed citations
18.
Trejo, Leonard J., et al.. (1995). Attentional modulation of the mismatch negativity elicited by frequency differences between binaurally presented tone bursts. Psychophysiology. 32(4). 319–328. 84 indexed citations
19.
Trejo, Leonard J. & Carol M. Cicerone. (1987). Changes in visual sensitivity with age in rats with heredity retinal degeneration. Vision Research. 27(6). 915–918. 9 indexed citations
20.
Trejo, Leonard J. & Carol M. Cicerone. (1984). Cells in the pretectal olivary nucleus are in the pathway for the direct light reflex of the pupil in the rat. Brain Research. 300(1). 49–62. 132 indexed citations

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.

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