Katharina Katz

834 citations
15 papers · 144 indexed · h-index 7
Topics
COVID-19 epidemiological studies (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)COVID-19 Clinical Research Studies (4 papers)
Partner nations
GermanySwedenNetherlands

In The Last Decade

Katharina Katz

15 papers receiving 143 citations

Peers

Katharina Katz
Comparison fields: 5 of 50
  • Infectious Diseases 80
  • Modeling and Simulation 60
  • Epidemiology 40
  • Parasitology 32
  • Public Health, Environmental and Occupational Health 24
Replace Yu. V. Demina with:
Yu. V. Demina Russia
María José Sierra-Moros Spain
Diepreye Ayabina United Kingdom
Ozair Naqvi United States
Jeffrey van Vliet Netherlands
Jazeel Abdulmajeed Qatar
Patricia Marques Moralejo Bermudi Brazil
Ciarán Gilbride United Kingdom
Nagaraj Jaganathasamy India
Run‐Ze Ye China
Katharina Katz relative to Yu. V. Demina Russia Yu. V. Demina's profile →
Citations per field
00.5×
Yu. V. Demina · 1×
Citations per year

Countries citing papers authored by Katharina Katz

Since Specialization
Citations

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

Fields of papers citing papers by Katharina Katz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katharina Katz

This figure shows the co-authorship network connecting the top 25 collaborators of Katharina Katz. A scholar is included among the top collaborators of Katharina Katz 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 Katharina Katz. Katharina Katz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 4
2 2
3 1
4 6
5 3
6 1
7 5
8 10
9 14
10 6
11 3
12 52
13 26
14 10
15
Brucella infection in dairy cattle and milk supplies.
1

About Katharina Katz

Katharina Katz is a scholar working on Modeling and Simulation, Infectious Diseases and Health, having authored 15 papers that have together received 144 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 Clinical Research Studies (4 papers). The work is most often cited by research in Modeling and Simulation (60 citations), Parasitology (32 citations) and Infectious Diseases (80 citations). Katharina Katz has collaborated with scholars based in Germany, Sweden and Netherlands. Frequent co-authors include Helmut Küchenhoff, Michael Höhle, Felix Günther, Andreas Bender, Merle M. Böhmer, Tom Woudenberg, Ronny Kuhnert, Hendrik Wilking, Volker Fingerle and Stefanie Böhm. Their work appears in journals such as PLoS ONE, Epidemiology and Infection and Eurosurveillance.

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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