Kata Farkas

4.8k citations
87 papers · 2.8k indexed · h-index 28
Topics
SARS-CoV-2 detection and testing (39 papers)Viral gastroenteritis research and epidemiology (35 papers)SARS-CoV-2 and COVID-19 Research (16 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaEnvironmental Science & Technology

In The Last Decade

Kata Farkas

80 papers receiving 2.7k citations

Peers

Kata Farkas
Comparison fields: 5 of 123
  • Infectious Diseases 1.9k
  • Biomedical Engineering 881
  • Molecular Biology 362
  • Water Science and Technology 361
  • Ecology 356
Replace Samendra P. Sherchan with:
Samendra P. Sherchan United States
M. Iaconelli Italy
Giuseppina La Rosa Italy
Leo Heijnen Netherlands
Elisabetta Suffredini Italy
Pradip Gyawali Australia
Erin M. Symonds United States
Laurent Moulin France
Lucia Bonadonna Italy
Ronald Italiaander Netherlands
Kata Farkas relative to Samendra P. Sherchan United States Samendra P. Sherchan's profile →
Citations per field
00.5×
Samendra P. Sherchan · 1×
Citations per year

Countries citing papers authored by Kata Farkas

Since Specialization
Citations

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

Fields of papers citing papers by Kata Farkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kata Farkas

This figure shows the co-authorship network connecting the top 25 collaborators of Kata Farkas. A scholar is included among the top collaborators of Kata Farkas 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 Kata Farkas. Kata Farkas 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 0
2 2
3 3
4 0
5 2
6 1
7 9
8 0
9 4
10 0
11 8
12 4
13 29
14 30
15 129
16 259
17 25
18 27
19 107
20 7

About Kata Farkas

Kata Farkas is a scholar working on Infectious Diseases, Endocrinology and Water Science and Technology, having authored 87 papers that have together received 2.8k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (39 papers), Viral gastroenteritis research and epidemiology (35 papers) and SARS-CoV-2 and COVID-19 Research (16 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Modeling and Simulation (134 citations) and Water Science and Technology (361 citations). Kata Farkas has collaborated with scholars based in United Kingdom, Australia and New Zealand. Frequent co-authors include Davey L. Jones, Shelagh K. Malham, James E. McDonald, Luke S. Hillary, David I. Walker, Evelien M. Adriaenssens, Arvind Varsani, David Cooper, Aaron Bivins and Kyle Bibby. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

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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