Barry Cardiff

955 total citations
68 papers, 595 citations indexed

About

Barry Cardiff is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Barry Cardiff has authored 68 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Biomedical Engineering, 33 papers in Electrical and Electronic Engineering and 25 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Barry Cardiff's work include ECG Monitoring and Analysis (23 papers), Non-Invasive Vital Sign Monitoring (19 papers) and Analog and Mixed-Signal Circuit Design (16 papers). Barry Cardiff is often cited by papers focused on ECG Monitoring and Analysis (23 papers), Non-Invasive Vital Sign Monitoring (19 papers) and Analog and Mixed-Signal Circuit Design (16 papers). Barry Cardiff collaborates with scholars based in Ireland, United States and France. Barry Cardiff's co-authors include Deepu John, Mark F. Flanagan, Soumyabrata Dev, Rajesh C. Panicker, Xiaolin Li, Stephen J. Redmond, Liam P. Barry, Frank Smyth, Yong Lian and Xiaolin Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Optics Express and IEEE Access.

In The Last Decade

Barry Cardiff

60 papers receiving 578 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Barry Cardiff Ireland	14	251	242	182	111	103	68	595
Seedahmed S. Mahmoud Australia	13	142 0.6×	136 0.6×	130 0.7×	97 0.9×	49 0.5×	57	487
M. A. Rashid Malaysia	13	115 0.5×	183 0.8×	152 0.8×	108 1.0×	35 0.3×	64	555
Gill R. Tsouri United States	14	329 1.3×	186 0.8×	190 1.0×	54 0.5×	158 1.5×	49	552
Allen C. Cheng United States	8	204 0.8×	59 0.2×	208 1.1×	100 0.9×	83 0.8×	15	468
F. Vaz Portugal	12	200 0.8×	133 0.5×	69 0.4×	64 0.6×	34 0.3×	30	416
Liang-Hung Wang China	13	306 1.2×	166 0.7×	242 1.3×	94 0.8×	73 0.7×	58	518
Hannu Sorvoja Finland	12	289 1.2×	90 0.4×	130 0.7×	35 0.3×	82 0.8×	28	439
Xin Tian United States	13	109 0.4×	96 0.4×	102 0.6×	50 0.5×	96 0.9×	61	441
Janet Roveda United States	11	93 0.4×	94 0.4×	55 0.3×	44 0.4×	37 0.4×	45	377
Luke Everson United States	9	251 1.0×	160 0.7×	192 1.1×	73 0.7×	21 0.2×	21	451

Countries citing papers authored by Barry Cardiff

Since Specialization

Citations

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

Fields of papers citing papers by Barry Cardiff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barry Cardiff

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

All Works

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20 of 20 papers shown

Rapoport, Adam, Aamir Jeewa, Lin Guo, et al.. (2025). Development and prospective evaluation of a machine learning model to predict serious cardiac outcomes among paediatric cardiac inpatients. SHILAP Revista de lepidopterología. 1(1). e000114–e000114.

Cardiff, Barry, et al.. (2025). DyCE: Dynamically Configurable Exiting for deep learning compression and real-time scaling. Future Generation Computer Systems. 171. 107837–107837.

Cardiff, Barry, et al.. (2025). Signal‐quality‐aware multisensor fusion for atrial fibrillation detection. Healthcare Technology Letters. 12(1). e12121–e12121. 2 indexed citations

Vettese, Emily, et al.. (2025). A roadmap to implementing machine learning in healthcare: from concept to practice. Frontiers in Digital Health. 7. 1462751–1462751. 1 indexed citations

Li, Xiaolin, et al.. (2025). DCentNet: Decentralized multistage biomedical signal classification using early exits. Biomedical Signal Processing and Control. 104. 107468–107468.

Cardiff, Barry, Tracie Risling, Richard Booth, et al.. (2025). From Federal Policy to Bedside Care: A Canadian Perspective on Key Considerations for Nurse Executive Action for AI Adoption – A Commentary. Nursing leadership. 37(3). 48–66. 2 indexed citations

Märtens, Olev, et al.. (2024). ECG Classification With Event-Driven Sampling. IEEE Access. 12. 25188–25199. 3 indexed citations

John, Deepu, et al.. (2024). FEC-Aided Decision Feedback Blind Mismatch Calibration of TIADCs in Wireless Time-Varying Channel Environments. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(7). 1173–1183. 1 indexed citations

Zheng, Hao, et al.. (2024). A Background Jitter Calibration for ADCs Using TDC Phase Information From ADPLL. IEEE Access. 12. 174551–174563.

10.

Cardiff, Barry, et al.. (2024). A Digitally Calibrated 1 ^st Order Noise Shaped SAR ADC in 28 nm CMOS. 1–4.

11.

Märtens, Olev, Antoine Frappé, Mart Min, et al.. (2023). A DSP-Based EBI, ECG, and PPG Measurement Platform. IEEE Transactions on Instrumentation and Measurement. 72. 1–8. 3 indexed citations

12.

Frappé, Antoine, et al.. (2023). Sensor-Location-Specific Joint Acquisition of Peripheral Artery Bioimpedance and Photoplethysmogram for Wearable Applications. Sensors. 23(16). 7111–7111. 3 indexed citations

13.

Doheny, Emer P., et al.. (2023). An evaluation of ECG data fusion algorithms for wearable IoT sensors. Information Fusion. 96. 237–251. 14 indexed citations

14.

Redmond, Stephen J., et al.. (2021). A Multimodal Data Fusion Technique for Heartbeat Detection in Wearable IoT Sensors. IEEE Internet of Things Journal. 9(3). 2071–2082. 37 indexed citations

15.

Flanagan, Mark F., et al.. (2020). Maximum Likelihood Channel Path Detection and MMSE Channel Estimation in OTFS Systems. 1–5. 14 indexed citations

16.

Panicker, Rajesh C., et al.. (2020). Binary Classifiers for Data Integrity Detection in Wearable IoT Edge Devices. SHILAP Revista de lepidopterología. 1. 88–99. 13 indexed citations

17.

Ullah, Salim, et al.. (2020). An Approximate Binary Classifier for Data Integrity Assessment in IoT Sensors. 1–4. 5 indexed citations

18.

Li, Ning, et al.. (2018). Words alignment based on association rules for cross-domain sentiment classification. Frontiers of Information Technology & Electronic Engineering. 19(2). 260–272. 9 indexed citations

19.

Cardiff, Barry, et al.. (2017). A low-complexity correlation-based time skew estimation technique for time-interleaved SAR ADCs. Research Repository UCD (University College Dublin). 1–4. 8 indexed citations

20.

Cardiff, Barry, Mark F. Flanagan, Frank Smyth, Liam P. Barry, & A.D. Fagan. (2011). On Bit and Power Loading for OFDM Over SI-POF. Journal of Lightwave Technology. 29(10). 1547–1554. 15 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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