J.C. Principe

1.2k total citations · 1 hit paper
26 papers, 990 citations indexed

About

J.C. Principe is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, J.C. Principe has authored 26 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Signal Processing and 7 papers in Cognitive Neuroscience. Recurrent topics in J.C. Principe's work include Neural Networks and Applications (9 papers), Blind Source Separation Techniques (7 papers) and EEG and Brain-Computer Interfaces (7 papers). J.C. Principe is often cited by papers focused on Neural Networks and Applications (9 papers), Blind Source Separation Techniques (7 papers) and EEG and Brain-Computer Interfaces (7 papers). J.C. Principe collaborates with scholars based in United States, South Korea and Norway. J.C. Principe's co-authors include Sohan Seth, Reeju Pokharel, Weifeng Liu, Il Memming Park, Jianbo Gao, Jing Hu, Weifeng Liu, Puskal P. Pokharel, J.G. Harris and Lingyun Gu and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Biomedical Engineering and Physics Letters A.

In The Last Decade

J.C. Principe

26 papers receiving 963 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Neural Networks (IJCNN), The 2011 International Joint Conference on

2011 377 citations Reeju Pokharel, Sohan Seth et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J.C. Principe United States	10	321	285	229	174	174	26	990
Yoshinobu Kawahara Japan	19	338 1.1×	178 0.6×	131 0.6×	171 1.0×	79 0.5×	85	1.1k
Temujin Gautama Belgium	12	132 0.4×	187 0.7×	68 0.3×	245 1.4×	198 1.1×	25	847
Kenneth E. Hild United States	20	347 1.1×	607 2.1×	173 0.8×	186 1.1×	553 3.2×	58	1.2k
Miguel Lázaro-Gredilla Spain	17	590 1.8×	187 0.7×	149 0.7×	180 1.0×	109 0.6×	39	1.2k
Shujian Yu China	15	341 1.1×	143 0.5×	104 0.5×	321 1.8×	76 0.4×	66	872
Abd‐Krim Seghouane Australia	22	241 0.8×	574 2.0×	438 1.9×	332 1.9×	451 2.6×	130	1.5k
Yiyuan She United States	15	292 0.9×	94 0.3×	328 1.4×	238 1.4×	50 0.3×	35	1.1k
GE Hinton Canada	6	410 1.3×	191 0.7×	45 0.2×	212 1.2×	81 0.5×	9	802
Naohiro Ishii Japan	16	265 0.8×	109 0.4×	37 0.2×	174 1.0×	208 1.2×	168	954
Michael Hüsken Germany	7	423 1.3×	185 0.6×	36 0.2×	226 1.3×	57 0.3×	9	918

Countries citing papers authored by J.C. Principe

Since Specialization

Citations

This map shows the geographic impact of J.C. Principe'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 J.C. Principe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.C. Principe more than expected).

Fields of papers citing papers by J.C. Principe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.C. Principe. 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 J.C. Principe. The network helps show where J.C. Principe may publish in the future.

Co-authorship network of co-authors of J.C. Principe

This figure shows the co-authorship network connecting the top 25 collaborators of J.C. Principe. A scholar is included among the top collaborators of J.C. Principe 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 J.C. Principe. J.C. Principe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Rego, Joilson B. A., et al.. (2016). Cyclostationary correntropy: Definition and applications. Expert Systems with Applications. 69. 110–117. 35 indexed citations

2.

Pokharel, Reeju, Sohan Seth, & J.C. Principe. (2011). Neural Networks (IJCNN), The 2011 International Joint Conference on. 377 indexed citations breakdown →

3.

Liu, Weifeng, Il Memming Park, & J.C. Principe. (2009). An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters. IEEE Transactions on Neural Networks. 20(12). 1950–1961. 183 indexed citations

4.

Gao, Jianbo, Jing Hu, Xingsong Wang, et al.. (2008). Real-Time Monitoring of Epileptic Seizures through Recurrence Time Analysis of EEGs. 42. 494–497. 1 indexed citations

5.

Hu, Jing, Jianbo Gao, & J.C. Principe. (2006). Analysis of Biomedical Signals by the Lempel-Ziv Complexity: the Effect of Finite Data Size. IEEE Transactions on Biomedical Engineering. 53(12). 2606–2609. 150 indexed citations

6.

Barreto, Armando, J.C. Principe, & S.A. Reid. (2005). Spatio-temporal Localization And Display Of Focal Epileptic Activity From The Electrocorticogram (ECoG). 54. 435–436. 1 indexed citations

7.

Barreto, Armando, J.C. Principe, & S.A. Reid. (2005). Intraoperative focus localization system based on spatio-temporal ECoG analysis. 344–345. 2 indexed citations

8.

Jenssen, Robert, Torbjørn Eltoft, & J.C. Principe. (2004). Information theoretic clustering: a unifying review of three recent algorithms. 292–295. 2 indexed citations

9.

Ting, Yuk, D. G. Childers, & J.C. Principe. (2003). Tracking spectral resonances. 49–54. 1 indexed citations

10.

Chang, Tae‐Gyu, J. R. Smith, & J.C. Principe. (2003). A layered processing model for knowledge-based contextual interpretation of multichannel EEG/EOG signals. 12. 239–243. 3 indexed citations

11.

Gao, Jianbo, Yinping Cao, Lingyun Gu, J.G. Harris, & J.C. Principe. (2003). Detection of weak transitions in signal dynamics using recurrence time statistics. Physics Letters A. 317(1-2). 64–72. 43 indexed citations

12.

Shin, Joonchul, et al.. (2003). Similarity classification for bio-signals using fuzzy table look-up by distance and eigenvector. 1. 34–35. 2 indexed citations

13.

Principe, J.C., et al.. (2002). Knowledge representation in machine tool supervision systems. 1106–1110. 1 indexed citations

14.

Richards, J C S, Mark Webster, & J.C. Principe. (2002). A gradient-based variable step-size LMS algorithm. 1083–1087. 3 indexed citations

15.

Principe, J.C., Neil R. Euliano, & Corentin Lefebvre. (2002). An interactive learning environment for adaptive systems instruction. 3. 1901–1904. 7 indexed citations

16.

Principe, J.C., et al.. (2002). Velocity measurement of granular flow with a Hopfield network. smc 10. 380–387. 2 indexed citations

17.

Principe, J.C., et al.. (2002). Neural network classification of metal surface properties using a dynamic touch sensor. i. 189–194. 6 indexed citations

18.

Vaz, F. & J.C. Principe. (2002). Neural networks for EEG signal decomposition and classification. 1. 793–794. 2 indexed citations

19.

Principe, J.C., et al.. (1997). Spatio-temporal models in biological and artificial systems. 33 indexed citations

20.

Childers, D. G., J.C. Principe, & Yuk Ting. (1995). Adaptive WRLS-VFF for speech analysis. IEEE Transactions on Speech and Audio Processing. 3(3). 209–213. 12 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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