Vesela Kovacheva

1.2k total citations · 1 hit paper
37 papers, 702 citations indexed

About

Vesela Kovacheva is a scholar working on Pediatrics, Perinatology and Child Health, Cardiology and Cardiovascular Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Vesela Kovacheva has authored 37 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pediatrics, Perinatology and Child Health, 9 papers in Cardiology and Cardiovascular Medicine and 9 papers in Obstetrics and Gynecology. Recurrent topics in Vesela Kovacheva's work include Cardiac, Anesthesia and Surgical Outcomes (8 papers), Maternal and fetal healthcare (6 papers) and Birth, Development, and Health (5 papers). Vesela Kovacheva is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (8 papers), Maternal and fetal healthcare (6 papers) and Birth, Development, and Health (5 papers). Vesela Kovacheva collaborates with scholars based in United States, United Kingdom and Germany. Vesela Kovacheva's co-authors include Jan Krzysztof Blusztajn, Tiffany J. Mellott, Jessica Davison, Ignacio López-Coviella, Aletta C. Schnitzler, Nicholas Wagner, Mieke Soens, Lawrence C. Tsen, Kathryn J. Gray and Barbara E. Slack and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Vesela Kovacheva

32 papers receiving 676 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.

Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness

2025 30 citations Kabilan Elangovan, Hairil Rizal Abdullah et al. npj Digital Medicine profile →

Peers

Vesela Kovacheva

PPCH

RHEUM

PHYSI

Sarah E. Reese United States

Ekaterina Koledova Germany

Börge Schmidt Germany

Ville Karhunen United Kingdom

Ronny Baber Germany

Louise A C Millard United Kingdom

C. Volta Italy

Melissa Smart United Kingdom

Rachel Forman United States

Alex M. Kasman United States

Sarah E. Reese United States

Vesela Kovacheva

286 ×1.1

185 ×0.8

PPCH

198 ×1.7

RHEUM

38 ×0.3

69 ×1.0

PHYSI

Citations per year, relative to Vesela Kovacheva Vesela Kovacheva (= 1×) peers Sarah E. Reese

Countries citing papers authored by Vesela Kovacheva

Since Specialization

Citations

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

Fields of papers citing papers by Vesela Kovacheva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vesela Kovacheva

This figure shows the co-authorship network connecting the top 25 collaborators of Vesela Kovacheva. A scholar is included among the top collaborators of Vesela Kovacheva 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 Vesela Kovacheva. Vesela Kovacheva 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

Aiello, Eleonora M., et al.. (2025). Empirical pharmacodynamic model of phenylephrine and intrathecal bupivacaine for mean arterial pressure prediction in obstetric patients presenting for elective cesarean delivery under spinal anesthesia. Journal of Clinical Monitoring and Computing. 39(4). 775–785. 1 indexed citations

Bates, David W., et al.. (2025). Development and validation of an interpretable longitudinal preeclampsia risk prediction using machine learning. PLoS ONE. 20(6). e0323873–e0323873.

Elangovan, Kabilan, Hairil Rizal Abdullah, Nan Liu, et al.. (2025). Retrieval augmented generation for 10 large language models and its generalizability in assessing medical fitness. npj Digital Medicine. 8(1). 187–187. 30 indexed citations breakdown →

Karamnov, Sergey, Jakob Wollborn, Kara G. Fields, et al.. (2024). Sex, Atrial Fibrillation, and Long-Term Mortality After Cardiac Surgery. JAMA Network Open. 7(8). e2426865–e2426865. 3 indexed citations

Kovacheva, Vesela & Richa Saxena. (2024). Polygenic Risk Scores: Coming to Your Operating Room?. Anesthesiology. 142(1). 3–5.

Kovacheva, Vesela, et al.. (2024). Opportunities of AI-powered applications in anesthesiology to enhance patient safety. International Anesthesiology Clinics. 62(2). 26–33. 3 indexed citations

Gray, Kathryn J., et al.. (2024). Deep survival analysis for interpretable time-varying prediction of preeclampsia risk. Journal of Biomedical Informatics. 156. 104688–104688.

Kovacheva, Vesela, et al.. (2024). Preeclampsia and eclampsia: Enhanced detection and treatment for morbidity reduction. Best Practice & Research Clinical Anaesthesiology. 38(3). 246–256. 2 indexed citations

Kovacheva, Vesela, et al.. (2023). Preeclampsia Prediction Using Machine Learning and Polygenic Risk Scores From Clinical and Genetic Risk Factors in Early and Late Pregnancies. Hypertension. 81(2). 264–272. 26 indexed citations

10.

Kovacheva, Vesela, et al.. (2023). On the Horizon: Specific Applications of Automation and Artificial Intelligence in Anesthesiology. Current anesthesiology reports. 13(2). 31–40. 3 indexed citations

11.

Alsentzer, Emily, et al.. (2023). Zero-shot interpretable phenotyping of postpartum hemorrhage using large language models. npj Digital Medicine. 6(1). 212–212. 30 indexed citations

12.

Kovacheva, Vesela, et al.. (2023). Investigation of the Optimum Baseline Blood Pressure for Spinal Anesthesia to Guide Vasopressor Management for Elective Cesarean Delivery: A Case-Control Design. Cureus. 15(9). e45380–e45380.

13.

Soens, Mieke, et al.. (2022). Less stress, better success: a scoping review on the effects of anxiety on anesthetic and analgesic consumption. Journal of Anesthesia. 36(4). 532–553. 14 indexed citations

14.

Kovacheva, Vesela, et al.. (2022). Development and implementation of databases to track patient and safety outcomes. Current Opinion in Anaesthesiology. 35(6). 710–716. 2 indexed citations

15.

Kovacheva, Vesela. (2014). EU Accession and Migration: Evidence for Bulgarian Migration to Germany. 3(2). 173–188. 1 indexed citations

16.

Kovacheva, Vesela, et al.. (2012). Labour Market Integration and Public Perceptions of Immigrants: A Comparison between Germany and Spain During the Economic Crisis. Comparative Population Studies. 37. 6 indexed citations

17.

Kovacheva, Vesela, et al.. (2012). Arbeitsmarktintegration und öffentliche Wahrnehmung von Migranten: ein Vergleich zwischen Deutschland und Spanien während der Wirtschaftskrise. Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences). 37. 77–98. 1 indexed citations

18.

Kovacheva, Vesela, et al.. (2011). The Size of the Irregular Migrant Population in the European Union - Counting the Uncountable?. International Migration. 49(5). 78–96. 25 indexed citations

19.

López-Coviella, Ignacio, Vesela Kovacheva, Brygida Berse, et al.. (2006). Developmental pattern of expression of BMP receptors and Smads and activation of Smad1 and Smad5 by BMP9 in mouse basal forebrain. Brain Research. 1088(1). 49–56. 32 indexed citations

20.

López-Coviella, Ignacio, Maximillian T. Follettie, Tiffany J. Mellott, et al.. (2005). Bone morphogenetic protein 9 induces the transcriptome of basal forebrain cholinergic neurons. Proceedings of the National Academy of Sciences. 102(19). 6984–6989. 49 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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