L. C. A. Corsten

728 citations
26 papers · 491 · h-index 11

Impact in

Papers in

L. C. A. Corsten

22 papers receiving 412 citations

Peers

L. C. A. Corsten
Comparison fields: 5 of 108
  • Statistics and Probability 111
  • Environmental Engineering 132
  • Computational Mathematics 4
  • Management Science and Operations Research 56
  • Soil Science 25
Replace G. R. Dolby with:
G. R. Dolby Australia
Michael A. Wincek United States
Gerard Austin United Kingdom
Jeffrey A. Witmer United States
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Citations per field
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Citations per year

Countries citing papers authored by L. C. A. Corsten

Since Specialization
Citations

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

Fields of papers citing papers by L. C. A. Corsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. C. A. Corsten. 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 L. C. A. Corsten. The network helps show where L. C. A. Corsten may publish in the future.

Co-authors

The 10 scholars most cited alongside L. C. A. Corsten, 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 L. C. A. Corsten Line = papers co-authored together L. C. A. Corsten links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991163
2 198561
3 197657
4 197231
5 199030
6 197627
7 198919
8 199417
9 198815
10 196215
11 198012
12 197810
13 19856
14 19796
15 19746
16 19643
17 19603
18 19572
19
On a test for the difference between two correlation coefficients
19702
20 19571

About L. C. A. Corsten

L. C. A. Corsten is a scholar working on Statistics and Probability, Management Science and Operations Research, Environmental Engineering, Nature and Landscape Conservation and Computational Mathematics, having authored 26 papers that have together received 491 indexed citations. Recurring topics across this work include Optimal Experimental Design Methods (4 papers), Advanced Statistical Methods and Models (4 papers), Soil Geostatistics and Mapping (3 papers), Statistical Methods and Bayesian Inference (3 papers), Statistical Methods and Inference (3 papers), graph theory and CDMA systems (2 papers), Bayesian Modeling and Causal Inference (2 papers) and Sensory Analysis and Statistical Methods (2 papers). The work is most often cited by research in Statistics and Probability (111 citations), Environmental Engineering (132 citations), Computational Mathematics (4 citations), Management Science and Operations Research (56 citations) and Soil Science (25 citations). L. C. A. Corsten has collaborated with scholars based in Netherlands, Finland and Belgium. Frequent co-authors include Alfred Stein, Tadeusz Caliński, Robert J. Beaver, T Postelnicu, J.B. Denis, K. R. Gabriel, Radosław Kala, Jerzy K. Baksalary, J. J. Hérmans and John M. Chambers. Their work appears in journals such as Biometrics, International Statistical Review, Biometrika, SIAM Review and Journal of Statistical Planning and Inference.

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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