Antoniya Georgieva

1.2k total citations
47 papers, 722 citations indexed

About

Antoniya Georgieva is a scholar working on Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine and Biomedical Engineering. According to data from OpenAlex, Antoniya Georgieva has authored 47 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Pediatrics, Perinatology and Child Health, 21 papers in Pulmonary and Respiratory Medicine and 8 papers in Biomedical Engineering. Recurrent topics in Antoniya Georgieva's work include Neonatal and fetal brain pathology (31 papers), Neonatal Respiratory Health Research (15 papers) and Non-Invasive Vital Sign Monitoring (8 papers). Antoniya Georgieva is often cited by papers focused on Neonatal and fetal brain pathology (31 papers), Neonatal Respiratory Health Research (15 papers) and Non-Invasive Vital Sign Monitoring (8 papers). Antoniya Georgieva collaborates with scholars based in United Kingdom, New Zealand and United States. Antoniya Georgieva's co-authors include Christopher W.G. Redman, Ivan Jordanov, M. Moulden, Stephen J. Payne, Aris T. Papageorghiou, Alessio Petrozziello, Angeliki Kerasidou, Christopher A. Lear, Austin Ugwumadu and Laura Bennet and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and IEEE Access.

In The Last Decade

Antoniya Georgieva

42 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antoniya Georgieva United Kingdom 16 512 331 149 136 98 47 722
Philip Warrick Canada 16 489 1.0× 367 1.1× 181 1.2× 213 1.6× 28 0.3× 65 866
Jiří Spilka Czechia 14 629 1.2× 380 1.1× 346 2.3× 324 2.4× 114 1.2× 31 872
Václav Chudáček Czechia 14 584 1.1× 359 1.1× 336 2.3× 350 2.6× 113 1.2× 35 875
Kevin J. Dalton United Kingdom 14 413 0.8× 210 0.6× 73 0.5× 164 1.2× 33 0.3× 37 774
Michal Huptych Czechia 16 403 0.8× 272 0.8× 462 3.1× 242 1.8× 80 0.8× 54 959
Miroslav Burša Czechia 7 276 0.5× 171 0.5× 134 0.9× 107 0.8× 73 0.7× 18 409
Michał Jeżewski Poland 17 326 0.6× 266 0.8× 273 1.8× 455 3.3× 94 1.0× 54 801
Sandy Weininger United States 12 76 0.1× 72 0.2× 178 1.2× 76 0.6× 31 0.3× 38 509
Janusz Wróbel Poland 21 426 0.8× 359 1.1× 429 2.9× 576 4.2× 55 0.6× 93 1.1k
Nic Smith United Kingdom 15 214 0.4× 204 0.6× 296 2.0× 644 4.7× 18 0.2× 34 1.1k

Countries citing papers authored by Antoniya Georgieva

Since Specialization
Citations

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

Fields of papers citing papers by Antoniya Georgieva

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antoniya Georgieva

This figure shows the co-authorship network connecting the top 25 collaborators of Antoniya Georgieva. A scholar is included among the top collaborators of Antoniya Georgieva 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 Antoniya Georgieva. Antoniya Georgieva 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.
Däumer, Martin, Martin G. Frasch, Austin Ugwumadu, et al.. (2025). Advancements in Fetal Heart Rate Monitoring: A Report on Opportunities and Strategic Initiatives for Better Intrapartum Care. BJOG An International Journal of Obstetrics & Gynaecology. 132(7). 853–866.
2.
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Lear, Christopher A., Simerdeep K. Dhillon, Antoniya Georgieva, et al.. (2024). The peripheral chemoreflex and fetal defenses against intrapartum hypoxic-ischemic brain injury at term gestation. Seminars in Fetal and Neonatal Medicine. 29(4-5). 101543–101543. 2 indexed citations
5.
Lear, Christopher A., Antoniya Georgieva, Guido Wassink, et al.. (2024). Fetal Heart Rate Responses in Chronic Hypoxaemia With Superimposed Repeated Hypoxaemia Consistent With Early Labour: A Controlled Study in Fetal Sheep. Obstetrical & Gynecological Survey. 79(1). 1–3.
6.
Jordanov, Ivan, et al.. (2023). Multimodal Deep Learning for Predicting Adverse Birth Outcomes Based on Early Labour Data. Bioengineering. 10(6). 730–730. 9 indexed citations
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8.
Lear, Christopher A., Antoniya Georgieva, Guido Wassink, et al.. (2023). Fetal heart rate responses in chronic hypoxaemia with superimposed repeated hypoxaemia consistent with early labour: a controlled study in fetal sheep. BJOG An International Journal of Obstetrics & Gynaecology. 130(8). 881–890. 9 indexed citations
9.
Gran, Jon Michael, et al.. (2022). Predelivery placenta-associated biomarkers and computerized intrapartum fetal heart rate patterns. AJOG Global Reports. 3(1). 100149–100149. 3 indexed citations
10.
Petrozziello, Alessio, Christopher W.G. Redman, Aris T. Papageorghiou, Ivan Jordanov, & Antoniya Georgieva. (2019). Multimodal Convolutional Neural Networks to Detect Fetal Compromise During Labor and Delivery. IEEE Access. 7. 112026–112036. 68 indexed citations
11.
Petrozziello, Alessio, et al.. (2018). Deep Learning for Continuous Electronic Fetal Monitoring in Labor. PubMed. 2018. 5866–5869. 41 indexed citations
12.
Koster, Maria P. H., et al.. (2016). Effect of signal acquisition method on the fetal heart rate analysis with phase rectified signal averaging. Physiological Measurement. 37(12). 2245–2259. 6 indexed citations
13.
Liang, Xu, Christopher W.G. Redman, Stephen J. Payne, & Antoniya Georgieva. (2014). Feature selection using genetic algorithms for fetal heart rate analysis. Physiological Measurement. 35(7). 1357–1371. 28 indexed citations
14.
Aye, Christina, Christopher W.G. Redman, & Antoniya Georgieva. (2014). The effect of augmentation of labour with syntocinon on the fetal CTG using objective computerised analysis: a nested case–control study. European Journal of Obstetrics & Gynecology and Reproductive Biology. 176. 112–118. 5 indexed citations
15.
Georgieva, Antoniya, et al.. (2014). Phase‐rectified signal averaging for intrapartum electronic fetal heart rate monitoring is related to acidaemia at birth. BJOG An International Journal of Obstetrics & Gynaecology. 121(7). 889–894. 58 indexed citations
16.
Georgieva, Antoniya, Stephen J. Payne, M. Moulden, & Christopher W.G. Redman. (2012). Relation of fetal heart rate signals with unassignable baseline to poor neonatal state at birth. Medical & Biological Engineering & Computing. 50(7). 717–725. 10 indexed citations
17.
Georgieva, Antoniya, Stephen J. Payne, M. Moulden, & Christopher W.G. Redman. (2011). Computerized intrapartum electronic fetal monitoring: Analysis of the decision to deliver for fetal distress. PubMed. 114. 5888–5891. 9 indexed citations
18.
Georgieva, Antoniya, Stephen J. Payne, M. Moulden, & Christopher W.G. Redman. (2011). Computerized fetal heart rate analysis in labor: detection of intervals with un-assignable baseline. Physiological Measurement. 32(10). 1549–1560. 19 indexed citations
19.
Georgieva, Antoniya, et al.. (2010). Automated Fetal Heart Rate Analysis in Labor: Decelerations and Overshoots. AIP conference proceedings. 7 indexed citations
20.
Georgieva, Antoniya & Ivan Jordanov. (2006). Supervised Neural Network Training with a Hybrid Global Optimization Technique. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 3. 3401–3408. 6 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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