Philip Hougaard

12.6k citations
104 papers · 8.5k indexed · 1 hit paper · h-index 45

Philip Hougaard

102 papers receiving 8.0k citations

Hit Papers

Analysis of Multivariate Survival Data9812000202620082017250500750

Peers

Philip Hougaard
Comparison fields: 5 of 197
  • Statistics and Probability 2.1k
  • Endocrinology, Diabetes and Metabolism 2.8k
  • Nephrology 868
  • Demography 809
  • Genetics 1.7k
Replace Niels Keiding with:
Niels Keiding Denmark
D. Y. Lin United States
Martin Schumacher Germany
L. J. Wei United States
Willi Sauerbrei Germany
Saskia le Cessie Netherlands
Hans C. van Houwelingen Netherlands
Paul C. Lambert United Kingdom
William Haenszel United States
Malcolm C. Pike United States
Philip Hougaard relative to Niels Keiding Denmark Niels Keiding's profile →
Citations per field
00.5×5.1×
Niels Keiding · 1×
Citations per year

Countries citing papers authored by Philip Hougaard

Since Specialization
Citations

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

Fields of papers citing papers by Philip Hougaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20220
3 201623
4 201666
5 201470
6 201122
7 20100
8 2009103
9 20085
10 200560
11 2004276
12 200196
13 199963
14 1999196
15 19976
16 199481
17 1992108
18 198948
19 1988344
20 198751

About Philip Hougaard

Philip Hougaard is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism, Genetics, Metals and Alloys and Nephrology, having authored 104 papers that have together received 8.5k indexed citations. Recurring topics across this work include Diabetes Management and Research (30 papers), Pancreatic function and diabetes (28 papers), Diabetes and associated disorders (25 papers), Statistical Methods and Bayesian Inference (15 papers), Statistical Methods and Inference (10 papers), Diabetes Treatment and Management (8 papers), Statistical Distribution Estimation and Applications (7 papers) and Statistical Methods in Clinical Trials (7 papers). The work is most often cited by research in Statistics and Probability (2.1k citations), Endocrinology, Diabetes and Metabolism (2.8k citations), Nephrology (868 citations), Demography (809 citations) and Genetics (1.7k citations). Philip Hougaard has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Henrik B. Mortensen, K. Borch‐Johnsen, Peter Rossing, F. S. Nielsen, Hans‐Henrik Parving, Hans‐Henrik Parving, H.‐H. Parving, M.-A. Gall, M.‐A. Gall and Birger Thorsteinsson. Their work appears in journals such as Diabetologia, Biometrika, Pediatric Diabetes, Biometrics and Diabetes.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026