Ivelina Yonova

1.6k citations
34 papers · 742 indexed · h-index 14
Topics
Influenza Virus Research Studies (19 papers)Respiratory viral infections research (8 papers)Data-Driven Disease Surveillance (5 papers)

In The Last Decade

Ivelina Yonova

33 papers receiving 733 citations

Peers

Ivelina Yonova
Comparison fields: 5 of 87
  • Epidemiology 525
  • Health 148
  • Infectious Diseases 135
  • Modeling and Simulation 96
  • General Health Professions 76
Replace Elissa M. Schechter‐Perkins with:
Elissa M. Schechter‐Perkins United States
Roger Lustig United States
François Haguinet Belgium
Brandon J. Patterson United States
Federica Fregonese Canada
Fabio Lievano United States
Tamie Sugawara Japan
Emily Hancock United States
Sungching Glenn United States
Srinivas Nanduri United States
Ivelina Yonova relative to Elissa M. Schechter‐Perkins United States Elissa M. Schechter‐Perkins's profile →
Citations per field
00.5×6.6×
Elissa M. Schechter‐Perkins · 1×
Citations per year

Countries citing papers authored by Ivelina Yonova

Since Specialization
Citations

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

Fields of papers citing papers by Ivelina Yonova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivelina Yonova

This figure shows the co-authorship network connecting the top 25 collaborators of Ivelina Yonova. A scholar is included among the top collaborators of Ivelina Yonova 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 Ivelina Yonova. Ivelina Yonova 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
#WorkIndexed citations
1 1
2 4
3 4
4 0
5 12
6 13
7 4
8 6
9 12
10 22
11 2
12
Analysis of Primary Care Computerised Medical Records with Deep Learning.
3
13 11
14 27
15 14
16 12
17 12
18 8
19 8
20 147

About Ivelina Yonova

Ivelina Yonova is a scholar working on Toxicology, Modeling and Simulation and Health Information Management, having authored 34 papers that have together received 742 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (19 papers), Respiratory viral infections research (8 papers) and Data-Driven Disease Surveillance (5 papers). The work is most often cited by research in Modeling and Simulation (96 citations), Health (148 citations) and Epidemiology (525 citations). Ivelina Yonova has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Simon de Lusignan, Ana Correa, Simon Jones, Jeremy van Vlymen, Richard Pebody, William Hinton, Andrew McGovern, Rachel Byford, Maria Zambon and Filipa Ferreira. Their work appears in journals such as BMC Public Health, PLoS Computational Biology and Journal of Medical Internet Research.

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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