V. Barnett

8.2k citations
60 papers · 6.0k · 2 hit papers · h-index 23

Impact in

Papers in

    • Advanced Statistical Methods and Models 11
    • Statistical Distribution Estimation and Applications 10
    • Statistical Methods and Inference 4
    • Statistical Methods and Bayesian Inference 3
    • Probabilistic and Robust Engineering Design 4
    • Advanced Statistical Process Monitoring 3

V. Barnett

57 papers receiving 5.3k citations

Hit Papers

Outliers in Statistical Data. 1995 · 1.3k citations
1.3k0+15+31Years since publication50010001.5k2.0k

Peers

V. Barnett
Comparison fields: 5 of 213
  • Statistics and Probability 1.5k
  • Statistics, Probability and Uncertainty 735
  • Artificial Intelligence 1.6k
  • Signal Processing 442
  • Management Science and Operations Research 293
Replace John M. Chambers with:
John M. Chambers United States
George A. F. Seber New Zealand
Gregory F. Piepel United States
Frank E. Grubbs United States
A. Stuart United Kingdom
T. Lewis Australia
Donald G. Watts Canada
Robert F. Ling United States
William G. Madow United States
G. M. Clarke Australia
V. Barnett relative to John M. Chambers United States John M. Chambers's profile →
Citations per field
00.5×1.6×
John M. Chambers · 1×
Citations per year

Countries citing papers authored by V. Barnett

Since Specialization
Citations

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

Fields of papers citing papers by V. Barnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Outliers in Statistical Data
Hit paper breakdown →
19792105
2
Outliers in Statistical Data.
Hit paper breakdown →
19951346
3 1976380
4 1982364
5 1962317
6 1985195
7 1966108
8 2000104
9 1979104
10 1996103
11 199898
12 196985
13 197575
14 196670
15 199463
16 197160
17 197735
18 197033
19
Agricultural sustainability: concepts and conundrums.
199530
20 196726

About V. Barnett

V. Barnett is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Agronomy and Crop Science and Plant Science, having authored 60 papers that have together received 6.0k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (11 papers), Statistical Distribution Estimation and Applications (10 papers), Statistical Methods and Inference (4 papers), Probabilistic and Robust Engineering Design (4 papers), Bayesian Methods and Mixture Models (4 papers), Advanced Statistical Process Monitoring (3 papers), Statistical Methods and Bayesian Inference (3 papers) and Crop Yield and Soil Fertility (3 papers). The work is most often cited by research in Statistics and Probability (1.5k citations), Statistics, Probability and Uncertainty (735 citations), Artificial Intelligence (1.6k citations), Signal Processing (442 citations) and Management Science and Operations Research (293 citations). V. Barnett has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include T. Lewis, Anthony C. Atkinson, A. D. Gordon, R. W. Hamming, R. W. Payne, Roy Steiner, Sabine Landau, J.J. Colls, R. A. C. Mitchell and J. Craigon. Their work appears in journals such as Biometrics, Biometrika, Journal of the Royal Statistical Society Series C (Applied Statistics), Journal of the American Statistical Association and Agricultural and Forest Meteorology.

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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