Clive Loader

4.4k citations
22 papers · 2.3k indexed · 2 hit papers · h-index 14

Clive Loader

21 papers receiving 2.1k citations

Hit Papers

Local Regression and Likelihood8351993202620042015250500750

Peers

Clive Loader
Comparison fields: 5 of 170
  • Statistics and Probability 787
  • Software 119
  • Statistics, Probability and Uncertainty 157
  • Finance 141
  • Management Science and Operations Research 157
Replace Marius Iosifescu with:
Marius Iosifescu Romania
Chris P. Tsokos United States
George Casella United States
Sidney C. Port United States
A. Huitson United Kingdom
P. A. W. Lewis United Kingdom
M. J. R. Healy United States
Josef Schmee United States
Theofanis Sapatinas Cyprus
Sidney Yakowitz United States
Clive Loader relative to Marius Iosifescu Romania Marius Iosifescu's profile →
Citations per field
00.5×1.7×
Marius Iosifescu · 1×
Citations per year

Countries citing papers authored by Clive Loader

Since Specialization
Citations

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

Fields of papers citing papers by Clive Loader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 14 scholars most cited alongside Clive Loader, 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 Clive Loader Line = papers co-authored together Clive Loader links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20068
2 200535
3 2000110
4
Local Regression and Likelihoodbreakdown →
1999835
5 199710
6 1996194
7 1996130
8 1994100
9
Local Regression: Automatic Kernel Carpentrybreakdown →
1993298
10 199313
11 199213
12 199261
13 199217
14 1992111
15 19923
16 199167
17 19910
18 199110
19 199156
20 19877

About Clive Loader

Clive Loader is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Software, Applied Mathematics and Management Information Systems, having authored 22 papers that have together received 2.3k indexed citations. Recurring topics across this work include Statistical Methods and Inference (9 papers), Statistical and numerical algorithms (4 papers), Advanced Statistical Methods and Models (4 papers), Statistical Methods and Bayesian Inference (3 papers), Bayesian Methods and Mixture Models (2 papers), Software Reliability and Analysis Research (2 papers), Software Engineering Research (2 papers) and Risk and Safety Analysis (2 papers). The work is most often cited by research in Statistics and Probability (787 citations), Software (119 citations), Statistics, Probability and Uncertainty (157 citations), Finance (141 citations) and Management Science and Operations Research (157 citations). Clive Loader has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include Trevor Hastie, Jiayang Sun, Mei Long, Lawrence G. Votta, Stephen G. Eick, Scott Vander Wiel, Sneha Kumar Kasera, Tom LaPorta, H. D. Arora and José Paulo Pinheiro. Their work appears in journals such as The Annals of Statistics, Advances in Applied Probability, Journal of Computational and Graphical Statistics, Statistical Science and Biometrika.

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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