Andriy Temko

5.3k total citations
96 papers, 3.2k citations indexed

About

Andriy Temko is a scholar working on Cognitive Neuroscience, Pediatrics, Perinatology and Child Health and Signal Processing. According to data from OpenAlex, Andriy Temko has authored 96 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Cognitive Neuroscience, 43 papers in Pediatrics, Perinatology and Child Health and 40 papers in Signal Processing. Recurrent topics in Andriy Temko's work include EEG and Brain-Computer Interfaces (51 papers), Neonatal and fetal brain pathology (43 papers) and Blind Source Separation Techniques (25 papers). Andriy Temko is often cited by papers focused on EEG and Brain-Computer Interfaces (51 papers), Neonatal and fetal brain pathology (43 papers) and Blind Source Separation Techniques (25 papers). Andriy Temko collaborates with scholars based in Ireland, Spain and United Kingdom. Andriy Temko's co-authors include Geraldine B. Boylan, Gordon Lightbody, William P. Marnane, Climent Nadeu, Eoin Thomas, William Hutch, Gerard Clarke, Paul J. Kennedy, Andrew P. Allen and Timothy G. Dinan and has published in prestigious journals such as Nature Communications, PLoS ONE and Scientific Reports.

In The Last Decade

Andriy Temko

90 papers receiving 3.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Andriy Temko 1.2k 755 739 710 534 96 3.2k
Geraldine B. Boylan 3.0k 2.5× 889 1.2× 1.1k 1.4× 5.8k 8.1× 808 1.5× 292 9.5k
Li‐Fen Chen 991 0.8× 363 0.5× 562 0.8× 91 0.1× 256 0.5× 186 4.3k
Paul B. Colditz 803 0.7× 323 0.4× 414 0.6× 3.1k 4.4× 458 0.9× 261 5.7k
Chandan Karmakar 881 0.7× 280 0.4× 111 0.2× 104 0.1× 1.2k 2.2× 174 3.8k
Andreas Voss 1.4k 1.2× 279 0.4× 299 0.4× 331 0.5× 1.6k 2.9× 264 6.9k
Alexandros T. Tzallas 1.9k 1.6× 973 1.3× 284 0.4× 49 0.1× 455 0.9× 173 3.8k
M. Brandon Westover 3.5k 2.9× 523 0.7× 275 0.4× 940 1.3× 512 1.0× 347 8.0k
Aiping Liu 1.8k 1.5× 526 0.7× 358 0.5× 105 0.1× 674 1.3× 256 4.9k
Zhe Chen 2.4k 2.0× 527 0.7× 273 0.4× 65 0.1× 215 0.4× 234 4.6k
Einar Wilder‐Smith 684 0.6× 132 0.2× 149 0.2× 129 0.2× 209 0.4× 153 3.9k

Countries citing papers authored by Andriy Temko

Since Specialization
Citations

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

Fields of papers citing papers by Andriy Temko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andriy Temko

This figure shows the co-authorship network connecting the top 25 collaborators of Andriy Temko. A scholar is included among the top collaborators of Andriy Temko 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 Andriy Temko. Andriy Temko 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.
OʼSullivan, Janet, Shriram Patel, Gabriel E. Leventhal, et al.. (2025). Host-microbe multi-omics and succinotype profiling have prognostic value for future relapse in patients with inflammatory bowel disease. Gut Microbes. 17(1). 2450207–2450207. 5 indexed citations
2.
3.
Temko, Andriy, et al.. (2024). Low-Power Real-Time Seizure Monitoring Using AI-Assisted Sonification of Neonatal EEG. IEEE Transactions on Emerging Topics in Computing. 13(1). 80–89.
4.
Temko, Andriy, et al.. (2024). Towards a Wearable, High Precision, Multi-Functional Stethoscope. PubMed. 2024. 1–4. 2 indexed citations
5.
Lightbody, Gordon, et al.. (2023). Bridging the Source-Target Mismatch with Pseudo Labeling for Neonatal Seizure Detection. 1100–1104. 3 indexed citations
6.
Temko, Andriy, et al.. (2023). Attacks on IoT: Side-Channel Power Acquisition Framework for Intrusion Detection. Future Internet. 15(5). 187–187. 10 indexed citations
7.
Παπουτσόγλου, Γεώργιος, Sonia Tarazona, Marta B. Lopes, et al.. (2023). Machine learning approaches in microbiome research: challenges and best practices. Frontiers in Microbiology. 14. 1261889–1261889. 49 indexed citations
8.
Cammarota, Giovanni, Gianluca Ianiro, Carmine Carbone, et al.. (2020). Gut microbiome, big data and machine learning to promote precision medicine for cancer. Nature Reviews Gastroenterology & Hepatology. 17(10). 635–648. 215 indexed citations
9.
Temko, Andriy, et al.. (2020). Lightweight Anomaly Detection Framework for IoT. Cork Open Research Archive (University College Cork, Ireland). 1–6. 2 indexed citations
10.
Temko, Andriy, et al.. (2019). Analysis of a Low-Cost EEG Monitoring System and Dry Electrodes toward Clinical Use in the Neonatal ICU. Sensors. 19(11). 2637–2637. 36 indexed citations
11.
Lightbody, Gordon, et al.. (2019). Prediction of short-term health outcomes in preterm neonates from heart-rate variability and blood pressure using boosted decision trees. Computer Methods and Programs in Biomedicine. 180. 104996–104996. 10 indexed citations
12.
O’Shea, Alison, Gordon Lightbody, Geraldine B. Boylan, & Andriy Temko. (2019). Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture. Neural Networks. 123. 12–25. 103 indexed citations
13.
Allen, Andrew P., William Hutch, Yuliya Borre, et al.. (2016). Bifidobacterium longum 1714 as a translational psychobiotic: modulation of stress, electrophysiology and neurocognition in healthy volunteers. Translational Psychiatry. 6(11). e939–e939. 379 indexed citations
14.
Temko, Andriy, et al.. (2015). Classification of hypoxic-ischemic encephalopathy using long term heart rate variability based features. PubMed. 2015. 2355–2358. 3 indexed citations
15.
Temko, Andriy, William P. Marnane, Geraldine B. Boylan, & Gordon Lightbody. (2014). Clinical implementation of a neonatal seizure detection algorithm. Decision Support Systems. 70. 86–96. 37 indexed citations
16.
Temko, Andriy, Gordon Lightbody, Geraldine B. Boylan, & William P. Marnane. (2011). Online EEG channel weighting for detection of seizures in the neonate. PubMed. 122. 1447–1450. 4 indexed citations
17.
Temko, Andriy, Climent Nadeu, William P. Marnane, Geraldine B. Boylan, & Gordon Lightbody. (2011). EEG Signal Description with Spectral-Envelope-Based Speech Recognition Features for Detection of Neonatal Seizures. IEEE Transactions on Information Technology in Biomedicine. 15(6). 839–847. 38 indexed citations
18.
Doyle, Orla, et al.. (2010). Predicting the neurodevelopmental outcome in newborns with hypoxic-ischaemic injury. PubMed. 39. 1370–1373. 11 indexed citations
19.
Temko, Andriy, Eoin Thomas, Geraldine B. Boylan, William P. Marnane, & Gordon Lightbody. (2009). An SVM-based system and its performance for detection of seizures in neonates. PubMed. 2009. 2643–2646. 35 indexed citations
20.
Temko, Andriy, et al.. (2007). CLEAR Evaluation of Acoustic Event Detection and Classification Systems. Lecture notes in computer science. 311–322. 39 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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