Nils Haug

1.9k citations
8 papers · 965 indexed · 1 hit paper · h-index 5
Topics
Chronic Disease Management Strategies (3 papers)Machine Learning in Healthcare (2 papers)Pancreatic and Hepatic Oncology Research (1 paper)

In The Last Decade

Nils Haug

7 papers receiving 937 citations

Hit Papers

Ranking the effectiveness of worldwide COVID-19 governmen...20202026202220242020250500750

Peers

Nils Haug
Comparison fields: 5 of 130
  • Modeling and Simulation 516
  • Economics and Econometrics 296
  • Clinical Psychology 224
  • Infectious Diseases 187
  • Epidemiology 142
Replace Elma Dervić with:
Elma Dervić Austria
Sören Mindermann United Kingdom
Minah Park Singapore
Mrinank Sharma United Kingdom
Joshua Teperowski Monrad United States
Yinxiaohe Sun Singapore
Jan Kulveit United Kingdom
Tomáš Gavenčiak Czechia
Gavin Leech United Kingdom
Alexander John Norman United Kingdom
Nils Haug relative to Elma Dervić Austria Elma Dervić's profile →
Citations per field
00.5×1.5×
Elma Dervić · 1×
Citations per year

Countries citing papers authored by Nils Haug

Since Specialization
Citations

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

Fields of papers citing papers by Nils Haug

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nils Haug

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 1
2 1
3 7
4 12
5 10
6
Ranking the effectiveness of worldwide COVID-19 government interventionsbreakdown →
897
7 37
8 0

About Nils Haug

Nils Haug is a scholar working on Modeling and Simulation, Statistics and Probability and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 965 indexed citations. Recurring topics across this work include Chronic Disease Management Strategies (3 papers), Machine Learning in Healthcare (2 papers) and Pancreatic and Hepatic Oncology Research (1 paper). The work is most often cited by research in Modeling and Simulation (516 citations), Health (126 citations) and Economics and Econometrics (296 citations). Nils Haug has collaborated with scholars based in Austria, United States and Italy. Frequent co-authors include Peter Klimek, Stefan Thurner, Elma Dervić, Vittorio Loreto, Beate Pinior, Lukas Geyrhofer, Amélie Desvars-Larrive, Alessandro Londei, Alexandra Kautzky‐Willer and Carola Deischinger. Their work appears in journals such as International Journal of Cancer, BMC Medicine and Quality of Life Research.

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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