Håkon Bøås

1.1k citations
24 papers · 247 · h-index 11

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 10
    • COVID-19 Clinical Research Studies 7
    • SARS-CoV-2 detection and testing 4
    • Viral gastroenteritis research and epidemiology 3
    • Respiratory viral infections research 6
    • Influenza Virus Research Studies 4
    • Pneumonia and Respiratory Infections 4

Håkon Bøås

23 papers receiving 245 citations

Peers

Håkon Bøås
Comparison fields: 5 of 57
  • Infectious Diseases 148
  • Modeling and Simulation 21
  • Health 27
  • Parasitology 20
  • Epidemiology 62
Replace Shuwei Zheng with:
Shuwei Zheng Singapore
Ahmed Zaqout Qatar
Dapeng Yin China
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Jianning Tong China
Yannick Vande Weygaerde Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Håkon Bøås

Since Specialization
Citations

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

Fields of papers citing papers by Håkon Bøås

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Håkon Bøås, 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 Håkon Bøås Line = papers co-authored together Håkon Bøås links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202129
2 201227
3 202224
4 202122
5 202216
6 202416
7 202212
8 202312
9 202311
10 202111
11 201611
12 201310
13 20168
14 20227
15 20156
16 20225
17 20245
18 20244
19 20213
20 20252

About Håkon Bøås

Håkon Bøås is a scholar working on Infectious Diseases, Epidemiology, Surgery, Health and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 247 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), COVID-19 Clinical Research Studies (7 papers), Respiratory viral infections research (6 papers), Influenza Virus Research Studies (4 papers), SARS-CoV-2 detection and testing (4 papers), Pneumonia and Respiratory Infections (4 papers), Viral gastroenteritis research and epidemiology (3 papers) and Vaccine Coverage and Hesitancy (3 papers). The work is most often cited by research in Infectious Diseases (148 citations), Modeling and Simulation (21 citations), Health (27 citations), Parasitology (20 citations) and Epidemiology (62 citations). Håkon Bøås has collaborated with scholars based in Norway, Sweden and United States. Frequent co-authors include German Tapia, Kjersti S. Rønningen, Lamprini Veneti, Eirik Alnes Buanes, Robert Whittaker, Trond Rasmussen, Karoline Bragstad, Olav Hungnes, Elina Seppälä and Margrethe Greve‐Isdahl. Their work appears in journals such as PLoS ONE, Frontiers in Pediatrics, Vaccine, International Journal of Infectious Diseases 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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