David Cox

4.8k citations
37 papers · 3.6k · 1 hit paper · h-index 16

Impact in

Papers in

David Cox

35 papers receiving 3.3k citations

David Cox's Hit Papers

Theoretical Statistics 1974 · 2.2k citations
2.2k0+17+34Years since publication50010001.5k2.0k

Peers

David Cox
Comparison fields: 5 of 190
  • Statistics and Probability 1.3k
  • Statistics, Probability and Uncertainty 314
  • Management Science and Operations Research 282
  • Global and Planetary Change 448
  • Finance 159
Replace Walter Zucchini with:
Walter Zucchini Germany
Karen Kafadar United States
Jun Yan United States
Leonhard Held Switzerland
ChopinNicolas France
John Haigh United Kingdom
Mary Kathryn Cowles United States
Robert A. Koyak United States
John Hinde Ireland
Robert L. Strawderman United States
David Cox relative to Walter Zucchini Germany Walter Zucchini's profile →
Citations per field
00.5×1.6×
Walter Zucchini · 1×
Citations per year

Countries citing papers authored by David Cox

Since Specialization
Citations

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

Fields of papers citing papers by David Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Theoretical Statistics
Hit paper breakdown →
19742209
2 1955307
3 1994253
4 1988156
5 200673
6 200963
7 200760
8 201854
9 200553
10 196851
11 200246
12 201245
13 195842
14 202031
15 202028
16 202025
17 202013
18 199711
19 19918
20 20217

About David Cox

David Cox is a scholar working on Global and Planetary Change, Ecology, Ocean Engineering, Geophysics and Environmental Engineering, having authored 37 papers that have together received 3.6k indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (3 papers), Statistical Methods and Inference (3 papers), Methane Hydrates and Related Phenomena (3 papers), Seismic Imaging and Inversion Techniques (3 papers), Climate variability and models (3 papers), Cryospheric studies and observations (3 papers), Hydrology and Drought Analysis (3 papers) and Geophysical Methods and Applications (2 papers). The work is most often cited by research in Statistics and Probability (1.3k citations), Statistics, Probability and Uncertainty (314 citations), Management Science and Operations Research (282 citations), Global and Planetary Change (448 citations) and Finance (159 citations). David Cox has collaborated with scholars based in United Kingdom, United States and Denmark. Frequent co-authors include D. V. Hinkley, A. Stuart, Matthew T. James, Valerie Isham, A. Newton, Mads Huuse, Salvatore Manfreda, Amilcare Porporato, Philip Μ. Morse and Paul J. Northrop. Their work appears in journals such as Biometrika, International Statistical Review, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, ˜The œcryosphere and Journal of Clinical Microbiology.

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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