I. G. Evans

1.1k citations
26 papers · 922 indexed · 1 hit paper · h-index 9

Impact in

Papers in

I. G. Evans

25 papers receiving 850 citations

Hit Papers

Multivariate Statistical Methods. 1968 · 627 citations
6271968202619872006200400600

Peers

I. G. Evans
Comparison fields: 5 of 182
  • Statistics and Probability 211
  • Statistics, Probability and Uncertainty 103
  • Management Science and Operations Research 59
  • Small Animals 33
  • Analytical Chemistry 30
Replace Keith Tan with:
Keith Tan United Kingdom
Brian L. Joiner United States
Bernard Ostle United States
Phillip I. Good United States
A. R. Jonckheere United Kingdom
Alan J. Klockars United States
David Sylwester United States
Hans Riedwyl Switzerland
Otto Dykstra United States
Daijin Ko United States
I. G. Evans relative to Keith Tan United Kingdom Keith Tan's profile →
Citations per field
00.5×3.3×
Keith Tan · 1×
Citations per year

Countries citing papers authored by I. G. Evans

Since Specialization
Citations

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

Fields of papers citing papers by I. G. Evans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. G. Evans. 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 I. G. Evans. The network helps show where I. G. Evans may publish in the future.

Co-authors

The 14 scholars most cited alongside I. G. Evans, 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 I. G. Evans Line = papers co-authored together I. G. Evans links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20122
2 20125
3 20120
4 20124
5 199574
6 19841
7 198339
8 198029
9 198028
10 19781
11 197828
12 19765
13 19741
14 197410
15 19735
16 19731
17 19681
18
Multivariate Statistical Methods.
Hit paper breakdown →
1968627
19 196523
20 19648

About I. G. Evans

I. G. Evans is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Small Animals, Animal Science and Zoology and Management Science and Operations Research, having authored 26 papers that have together received 922 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (5 papers), Statistical Methods and Bayesian Inference (4 papers), Statistical Distribution Estimation and Applications (4 papers), Animal Behavior and Welfare Studies (4 papers), Advanced Statistical Methods and Models (4 papers), Optimal Experimental Design Methods (4 papers), Bayesian Methods and Mixture Models (3 papers) and Effects of Environmental Stressors on Livestock (3 papers). The work is most often cited by research in Statistics and Probability (211 citations), Statistics, Probability and Uncertainty (103 citations), Management Science and Operations Research (59 citations), Small Animals (33 citations) and Analytical Chemistry (30 citations). I. G. Evans has collaborated with scholars based in United Kingdom, Egypt and Australia. Frequent co-authors include Donald F. Morrison, Lloyd R. Kelland, Mervyn Jones, Barry A. Murrer, Brian Theobald, Melanie Valenti, Phyllis M. Goddard, I.J. Lean, Morris Hamburg and E. Sergeant. Their work appears in journals such as Journal of the Royal Statistical Society Series C (Applied Statistics), Australian Veterinary Journal, Journal of the American Statistical Association, Journal of the Royal Statistical Society Series B (Statistical Methodology) and The American Statistician.

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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