David Cox

4.8k citations
31 papers · 3.3k · 1 hit paper · h-index 15

Impact in

Papers in

David Cox

30 papers receiving 3.1k citations

David Cox's Hit Papers

Theoretical Statistics 1974 · 2.0k citations
2.0k0+17+34Years since publication50010001.5k2.0k

Peers

David Cox
Comparison fields: 5 of 184
  • Statistics and Probability 1.2k
  • Statistics, Probability and Uncertainty 294
  • Management Science and Operations Research 264
  • Global and Planetary Change 418
  • Finance 144
Replace Walter Zucchini with:
Walter Zucchini Germany
D. Stasinopoulos United Kingdom
Karen Kafadar United States
Jun Yan United States
John Haigh United Kingdom
Ronald Christensen United States
Mary Kathryn Cowles United States
ChopinNicolas France
Leonhard Held Switzerland
Richard L. Scheaffer 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Theoretical Statistics
Hit paper breakdown →
19742038
2 1955285
3 1994241
4 1988135
5 200672
6 200759
7 200959
8 201854
9 200551
10 196847
11 201244
12 195842
13 200241
14 202027
15 202022
16 202012
17 199711
18 19918
19 20217
20 19937

About David Cox

David Cox is a scholar working on Global and Planetary Change, Statistics and Probability, Ecology, Ocean Engineering and Geophysics, having authored 31 papers that have together received 3.3k indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (3 papers), Climate variability and models (3 papers), Statistical Methods and Inference (3 papers), Cryospheric studies and observations (3 papers), Hydrology and Drought Analysis (3 papers), Advanced Statistical Methods and Models (2 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Seismic Imaging and Inversion Techniques (2 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (294 citations), Management Science and Operations Research (264 citations), Global and Planetary Change (418 citations) and Finance (144 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, Salvatore Manfreda, Amilcare Porporato, Philip Μ. Morse, Mads Huuse, A. Newton and Ignacio Rodríguez‐Iturbe. Their work appears in journals such as Biometrika, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal of Clinical Microbiology, Economica and PLoS ONE.

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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