Paul H.C. Eilers

19.2k citations
205 papers · 13.9k indexed · 5 hit papers · h-index 54

Paul H.C. Eilers

200 papers receiving 13.4k citations

Hit Papers

Intrinsic Gene Expression Profiles of ...512198820262000201350010001.5k2.0k2.5k

Peers

Paul H.C. Eilers
Comparison fields: 5 of 213
  • Statistics and Probability 2.3k
  • Analytical Chemistry 1.2k
  • Biophysics 558
  • Demography 737
  • Obstetrics and Gynecology 482
Replace Paul Elliott with:
Paul Elliott United Kingdom
Daniela Witten United States
Jun S. Liu United States
Sylvia Richardson United Kingdom
Hui Zou United States
David R. Cox United States
Raymond J. Carroll United States
Norman R. Draper United States
Robert Gentleman United States
Gordon K. Smyth Australia
Paul H.C. Eilers relative to Paul Elliott United Kingdom Paul Elliott's profile →
Citations per field
00.5×4.4×
Paul Elliott · 1×
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-authorship network

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
#Work
1 20241
2 20230
3 20221
4 20182
5 20179
6
Rainfall variability and its impact on large mammal populations in a complex of semi-arid African savanna protected areas
201628
7 201564
8 201395
9 201323
10 201386
11 2011102
12 201021
13
Intrinsic Gene Expression Profiles of Gliomas Are a Better Predictor of Survival than Histologybreakdown →
2009512
14 200835
15 2006279
16 20043
17 200488
18 200410
19 2004144
20
Flexible smoothing with B-splines and penaltiesbreakdown →
19962556

About Paul H.C. Eilers

Paul H.C. Eilers is a scholar working on Statistics and Probability, Computational Mathematics, Obstetrics and Gynecology, Applied Mathematics and Biophysics, having authored 205 papers that have together received 13.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (49 papers), Advanced Statistical Methods and Models (24 papers), Statistical and numerical algorithms (17 papers), Spectroscopy and Chemometric Analyses (15 papers), Birth, Development, and Health (14 papers), Statistical Methods and Bayesian Inference (14 papers), Bayesian Methods and Mixture Models (13 papers) and Epigenetics and DNA Methylation (11 papers). The work is most often cited by research in Statistics and Probability (2.3k citations), Analytical Chemistry (1.2k citations), Biophysics (558 citations), Demography (737 citations) and Obstetrics and Gynecology (482 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, Jelle J. Goeman, María Xosé Rodríguez‐Álvarez and Fred A. van Eeuwijk. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026