David Cox

4.7k citations
30 papers · 3.2k indexed · 1 hit paper · h-index 14

David Cox

29 papers receiving 3.0k citations

Hit Papers

Theoretical Statistics2.0k197420261991200850010001.5k2.0k

Peers

David Cox
Comparison fields: 5 of 187
  • Statistics and Probability 1.2k
  • Statistics, Probability and Uncertainty 298
  • Management Science and Operations Research 267
  • Global and Planetary Change 416
  • Finance 144
Replace Walter Zucchini with:
Walter Zucchini Germany
Karen Kafadar United States
Mary Kathryn Cowles United States
Jun Yan United States
John Haigh United Kingdom
Nicolás Chopin France
Richard L. Scheaffer United States
Robert A. Koyak United States
Ronald Christensen United States
John Hinde Ireland
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-authorship network

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
#Work
1 20222
2 20216
3 20206
4 202011
5 20202
6 20191
7 201244
8 20102
9 200759
10 200672
11 20022
12 20004
13
WATER BALANCE AT A POINT: THE IMPACT OF CLIMATE, SOIL AND VEGETATION
19991
14 19918
15 1988134
16 19841
17
Theoretical Statisticsbreakdown →
19742033
18 19711
19 196847
20 1955285

About David Cox

David Cox is a scholar working on Statistics and Probability, Global and Planetary Change, Geophysics, History and Philosophy of Science and Environmental Engineering, having authored 30 papers that have together received 3.2k indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (3 papers), Statistical Methods and Inference (3 papers), Cryospheric studies and observations (3 papers), Hydrology and Drought Analysis (3 papers), Climate variability and models (3 papers), Seismic Imaging and Inversion Techniques (2 papers), Plant Water Relations and Carbon Dynamics (2 papers) and Advanced Statistical Methods and Models (2 papers). The work is most often cited by research in Statistics and Probability (1.2k citations), Statistics, Probability and Uncertainty (298 citations), Management Science and Operations Research (267 citations), Global and Planetary Change (416 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, A. Newton, Ignacio Rodríguez‐Iturbe and Paul J. Northrop. Their work appears in journals such as Biometrika, Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, ˜The œcryosphere, Water Resources Research and Technometrics.

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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