Ulrike Baum

1.0k citations
40 papers · 663 · h-index 15

Impact in

Papers in

    • Influenza Virus Research Studies 13
    • Respiratory viral infections research 8
    • SARS-CoV-2 and COVID-19 Research 10
    • COVID-19 Clinical Research Studies 6

Ulrike Baum

40 papers receiving 639 citations

Peers

Ulrike Baum
Comparison fields: 5 of 103
  • Health 160
  • Modeling and Simulation 58
  • Infectious Diseases 212
  • Epidemiology 239
  • Nature and Landscape Conservation 51
Replace Renato Mendes Coutinho with:
Renato Mendes Coutinho Brazil
Audrey Lustig New Zealand
James L. Stewart United States
Marco Bo Italy
Lennert Slobbe Netherlands
Rebecca Rose United States
Meng Wu United States
Thomas Neyens Belgium
Serge-Brice Assi Ivory Coast
Jialei Hu China
Ulrike Baum relative to Renato Mendes Coutinho Brazil Renato Mendes Coutinho's profile →
Citations per field
00.5×8.9×
Renato Mendes Coutinho · 1×
Citations per year

Countries citing papers authored by Ulrike Baum

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Baum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ulrike Baum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ulrike Baum Line = papers co-authored together Ulrike Baum links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983126
2 201665
3 202345
4 202138
5 201034
6 202232
7 201531
8 201725
9 201724
10 198719
11 201719
12 201916
13 202116
14 202016
15 201815
16 202313
17 201512
18 202111
19 20239
20 20228

About Ulrike Baum

Ulrike Baum is a scholar working on Epidemiology, Infectious Diseases, Health, Cognitive Neuroscience and Surgery, having authored 40 papers that have together received 663 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Vaccine Coverage and Hesitancy (10 papers), SARS-CoV-2 and COVID-19 Research (10 papers), Respiratory viral infections research (8 papers), COVID-19 Clinical Research Studies (6 papers), EEG and Brain-Computer Interfaces (4 papers), Healthcare Technology and Patient Monitoring (3 papers) and Botany and Plant Ecology Studies (3 papers). The work is most often cited by research in Health (160 citations), Modeling and Simulation (58 citations), Infectious Diseases (212 citations), Epidemiology (239 citations) and Nature and Landscape Conservation (51 citations). Ulrike Baum has collaborated with scholars based in Finland, Germany and Sweden. Frequent co-authors include Hanna Nohynek, K. E. Rehfuess, Tuija Leino, Jukka Jokinen, Eero Poukka, Kari Auranen, Jonas Sundman, Niina Ikonen, Sangita Kulathinal and Ritva Syrjänen. Their work appears in journals such as Vaccine, Eurosurveillance, Forstwissenschaftliches Centralblatt, Clinical Neurophysiology and Scandinavian Journal of Public Health.

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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