Paul H.C. Eilers

19.4k citations
214 papers · 14.8k · 5 hit papers · h-index 56

Impact in

Papers in

Paul H.C. Eilers

208 papers receiving 14.2k citations

Paul H.C. Eilers's Hit Papers

Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology 2009 · 530 citations
5300+12+25Years since publication50010001.5k2.0k2.5k

Peers

Paul H.C. Eilers
Comparison fields: 5 of 216
  • Statistics and Probability 2.4k
  • Analytical Chemistry 1.2k
  • Biophysics 579
  • Demography 751
  • Oceanography 727
Replace Paul Elliott with:
Paul Elliott United Kingdom
Jun S. Liu United States
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David R. Cox United States
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Citations per field
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Citations per year

Countries citing papers authored by Paul H.C. Eilers

Since Specialization
Citations

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

Fields of papers citing papers by Paul H.C. Eilers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul H.C. Eilers. 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 Paul H.C. Eilers. The network helps show where Paul H.C. Eilers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Flexible smoothing with B-splines and penalties
Hit paper breakdown →
19962706
2
A Perfect Smoother
Hit paper breakdown →
20031075
3
A model for the relationship between light intensity and the rate of photosynthesis in phytoplankton
Hit paper breakdown →
1988907
4
Parametric Time Warping
Hit paper breakdown →
2003539
5
Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histology
Hit paper breakdown →
2009530
6 2004341
7 2006285
8 2009285
9 1998203
10 2017192
11 2010188
12 2003179
13 2004172
14 1999165
15 2011164
16 2003152
17 2004151
18 1999149
19 2006144
20 2006142

About Paul H.C. Eilers

Paul H.C. Eilers is a scholar working on Statistics and Probability, Molecular Biology, Genetics, Applied Mathematics and Artificial Intelligence, having authored 214 papers that have together received 14.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (53 papers), Advanced Statistical Methods and Models (26 papers), Statistical and numerical algorithms (19 papers), Spectroscopy and Chemometric Analyses (16 papers), Statistical Methods and Bayesian Inference (16 papers), Bayesian Methods and Mixture Models (15 papers), Insurance, Mortality, Demography, Risk Management (10 papers) and Genetic Mapping and Diversity in Plants and Animals (8 papers). The work is most often cited by research in Statistics and Probability (2.4k citations), Analytical Chemistry (1.2k citations), Biophysics (579 citations), Demography (751 citations) and Oceanography (727 citations). Paul H.C. Eilers has collaborated with scholars based in Netherlands, United States and Belgium. Frequent co-authors include Brian D. Marx, J. C. H. Peeters, Maŕıa Durbán, Iain D. Currie, Clement Atzberger, Sabine Schnabel, Eric A.P. Steegers, Johan J. de Rooi, Jelle J. Goeman and Emmanuel Lesaffre. Their work appears in journals such as Statistical Modelling, Computational Statistics & Data Analysis, Statistics in Medicine, PLoS ONE and Chemometrics and Intelligent Laboratory Systems.

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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