Janet Roveda

621 total citations
45 papers, 377 citations indexed

About

Janet Roveda is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Hardware and Architecture. According to data from OpenAlex, Janet Roveda has authored 45 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 13 papers in Biomedical Engineering and 8 papers in Hardware and Architecture. Recurrent topics in Janet Roveda's work include Heart Rate Variability and Autonomic Control (7 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Advancements in PLL and VCO Technologies (5 papers). Janet Roveda is often cited by papers focused on Heart Rate Variability and Autonomic Control (7 papers), Non-Invasive Vital Sign Monitoring (6 papers) and Advancements in PLL and VCO Technologies (5 papers). Janet Roveda collaborates with scholars based in United States, United Kingdom and China. Janet Roveda's co-authors include Cong Wang, Bingsheng Zhang, Kui Ren, Ao Li, Stuart F. Quan, Linda S. Powers, Huayu Li, Gregory Ditzler, Zhen Xu and Chang Wen Chen and has published in prestigious journals such as PLoS ONE, Sensors and SLEEP.

In The Last Decade

Janet Roveda

41 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet Roveda United States 11 94 93 92 65 55 45 377
Vijay Kumar Bohat India 11 46 0.5× 50 0.5× 98 1.1× 112 1.7× 92 1.7× 18 422
Giuliano Grossi Italy 11 24 0.3× 147 1.6× 74 0.8× 122 1.9× 117 2.1× 49 461
Mansoor Ebrahim Pakistan 10 43 0.5× 29 0.3× 79 0.9× 109 1.7× 15 0.3× 48 281
Aristodemos Pnevmatikakis Greece 11 107 1.1× 65 0.7× 89 1.0× 156 2.4× 6 0.1× 58 423
C. S. Sastry India 10 24 0.3× 66 0.7× 56 0.6× 134 2.1× 61 1.1× 27 299
Minfen Shen China 10 38 0.4× 156 1.7× 52 0.6× 177 2.7× 37 0.7× 51 503
S. N. Kumar India 10 28 0.3× 56 0.6× 71 0.8× 133 2.0× 47 0.9× 32 386
Giovanni Ansaloni Switzerland 15 365 3.9× 128 1.4× 55 0.6× 51 0.8× 62 1.1× 74 689
Kaleem Arshid China 8 54 0.6× 53 0.6× 73 0.8× 102 1.6× 36 0.7× 20 358
Sheikh Md. Rabiul Islam Bangladesh 8 28 0.3× 56 0.6× 25 0.3× 28 0.4× 46 0.8× 53 208

Countries citing papers authored by Janet Roveda

Since Specialization
Citations

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

Fields of papers citing papers by Janet Roveda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet Roveda. 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 Janet Roveda. The network helps show where Janet Roveda may publish in the future.

Co-authorship network of co-authors of Janet Roveda

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Roveda. A scholar is included among the top collaborators of Janet Roveda 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 Janet Roveda. Janet Roveda 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.
Wung, Shu‐Fen, et al.. (2024). Data-Fusion-Based Quality Enhancement for HR Measurements Collected by Wearable Sensors. Sensors. 24(10). 2970–2970. 2 indexed citations
2.
Chang, Ping, Huayu Li, Stuart F. Quan, et al.. (2024). A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit. Computer Methods and Programs in Biomedicine. 246. 108060–108060. 11 indexed citations
3.
Li, Huayu, Xiwen Chen, Gregory Ditzler, Janet Roveda, & Ao Li. (2024). Knowledge distillation under ideal joint classifier assumption. Neural Networks. 173. 106160–106160. 1 indexed citations
4.
Quan, Stuart F., et al.. (2023). Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm. PLoS ONE. 18(4). e0284167–e0284167. 6 indexed citations
5.
Quan, Stuart F., et al.. (2022). BASH-GN: a new machine learning–derived questionnaire for screening obstructive sleep apnea. Sleep And Breathing. 27(2). 449–457. 12 indexed citations
6.
Roveda, Janet, et al.. (2021). Methods and Analysis of Automated Trace Alignment Under Power Obfuscation in Side Channel Attacks. 5(2). 127–142. 1 indexed citations
7.
Li, Ao, Janet Roveda, Linda S. Powers, & Stuart F. Quan. (2021). Obstructive sleep apnea predicts 10-year cardiovascular disease–related mortality in the Sleep Heart Health Study: a machine learning approach. Journal of Clinical Sleep Medicine. 18(2). 497–504. 10 indexed citations
8.
Li, Ao, Siteng Chen, Stuart F. Quan, Linda S. Powers, & Janet Roveda. (2020). A deep learning-based algorithm for detection of cortical arousal during sleep. SLEEP. 43(12). 20 indexed citations
9.
Li, Ao, Siteng Chen, Stuart F. Quan, et al.. (2019). Sleep patterns and sleep deprivation recorded by actigraphy in 4th-grade and 5th-grade students. Sleep Medicine. 67. 191–199. 11 indexed citations
10.
Li, Ao, Stuart F. Quan, Graciela E. Silva, Michelle M. Perfect, & Janet Roveda. (2018). A Novel Artificial Neural Network Based Sleep-Disordered Breathing Screening Tool. Journal of Clinical Sleep Medicine. 14(6). 1063–1069. 4 indexed citations
11.
Li, Ao, Janet Roveda, Linda S. Powers, Michelle M. Perfect, & Stuart F. Quan. (2017). Dream sweet dreams: a new framework for sleep tracking and body change prediction. 100–107. 1 indexed citations
12.
Fink, Wolfgang, et al.. (2015). Wearable sensor based stress management using integrated respiratory and ECG waveforms. 1–6. 13 indexed citations
13.
Roveda, Janet, et al.. (2015). A 320MHz–2.56GHz low jitter phase-locked loop with adaptive-bandwidth technique. 40–43. 1 indexed citations
14.
Sun, Jin, et al.. (2015). Surrogating circuit design solutions with robustness metrics. Integration. 52. 1–9. 2 indexed citations
15.
Lin, Lin, et al.. (2014). A modular framework to enable rapid evaluation and exploration of energy management methods in smart home platforms. Energy Systems. 7(2). 215–235. 2 indexed citations
16.
Talarico, Claudio, et al.. (2013). Energy management design for smart homes using green technology. 517–520. 2 indexed citations
17.
Velamala, Jyothi, et al.. (2013). A self-tuning design methodology for power-efficient multi-core systems. ACM Transactions on Design Automation of Electronic Systems. 18(1). 1–24. 8 indexed citations
18.
Wang, Cong, Bingsheng Zhang, Kui Ren, & Janet Roveda. (2013). Privacy-Assured Outsourcing of Image Reconstruction Service in Cloud. IEEE Transactions on Emerging Topics in Computing. 1(1). 166–177. 90 indexed citations
19.
Roveda, Janet, et al.. (2011). Interface model based cyber-physical energy system design for smart grid. 368–373. 2 indexed citations
20.
Sun, Jin, Jyothi Velamala, Yu Cao, et al.. (2010). A self-evolving design methodology for power efficient multi-core systems. International Conference on Computer Aided Design. 264–268. 1 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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