Georgia D Tomova
- Public Health, Environmental and Occupational Health top 10%
- Statistics and Probability top 5%
- Physiology
- Pediatrics, Perinatology and Child Health
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- Mark S. GilthorpePeter W. G. TennantKellyn F ArnoldLaurie BerrieWendy J. HarrisonLynsie R RankerMatthew P. FoxClaire Keeble
- Topics
- Nutritional Studies and Diet (4 papers)Obesity, Physical Activity, Diet (2 papers)Advanced Causal Inference Techniques (2 papers)
- Cited by
- Statistics and ProbabilityPublic Health, Environmental and Occupational HealthHealth, Toxicology and Mutagenesis
- Partner nations
- United KingdomNetherlandsSweden
In The Last Decade
Georgia D Tomova
8 papers receiving 665 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Public Health, Environmental and Occupational Health 158
- Statistics and Probability 84
- Physiology 80
- Pediatrics, Perinatology and Child Health 75
- Health, Toxicology and Mutagenesis 70
Countries citing papers authored by Georgia D Tomova
This map shows the geographic impact of Georgia D Tomova'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 Georgia D Tomova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgia D Tomova more than expected).
Fields of papers citing papers by Georgia D Tomova
This network shows the impact of papers produced by Georgia D Tomova. 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 Georgia D Tomova. The network helps show where Georgia D Tomova may publish in the future.
Co-authorship network of co-authors of Georgia D Tomova
This figure shows the co-authorship network connecting the top 25 collaborators of Georgia D Tomova. A scholar is included among the top collaborators of Georgia D Tomova 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 Georgia D Tomova. Georgia D Tomova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 23 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | 84 | |
| 9 | Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendationsbreakdown → | 534 |
About Georgia D Tomova
Georgia D Tomova is a scholar working on Statistics and Probability, Modeling and Simulation and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 668 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (4 papers), Obesity, Physical Activity, Diet (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Statistics and Probability (84 citations), Public Health, Environmental and Occupational Health (158 citations) and Health, Toxicology and Mutagenesis (70 citations). Georgia D Tomova has collaborated with scholars based in United Kingdom, Netherlands and Sweden. Frequent co-authors include Mark S. Gilthorpe, Peter W. G. Tennant, Kellyn F Arnold, Laurie Berrie, Wendy J. Harrison, Lynsie R Ranker, Matthew P. Fox, Claire Keeble, George T. H. Ellison and Sarah Gadd. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and American Journal of Epidemiology.
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.