James J. Higgins

6.8k citations
153 papers · 4.9k indexed · 1 hit paper · h-index 33

Impact in

Papers in

James J. Higgins

146 papers receiving 4.6k citations

Hit Papers

The aligned rank transform for nonparametric factorial analyses using only anova procedures 2011 · 1.8k citations
1.8k201120262016202150010001.5k

Peers

James J. Higgins
Comparison fields: 5 of 215
  • Human-Computer Interaction 643
  • Statistics and Probability 804
  • Agronomy and Crop Science 689
  • Animal Science and Zoology 560
  • Statistics, Probability and Uncertainty 309
Replace José C. Pinheiro with:
José C. Pinheiro Brazil
Russell V. Lenth United States
Paul McCullagh United Kingdom
George A. Milliken United States
Paul H. Garthwaite United Kingdom
Frank Bretz Switzerland
Paul‐Christian Bürkner Germany
Cedric E. Ginestet United Kingdom
Wayne W. Daniel United States
R.J. Dewhurst United Kingdom
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Citations per field
00.5×10×14.0×
José C. Pinheiro · 1×
Citations per year

Countries citing papers authored by James J. Higgins

Since Specialization
Citations

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

Fields of papers citing papers by James J. Higgins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James J. Higgins. 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 James J. Higgins. The network helps show where James J. Higgins may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201133
2 20103
3 20101
4 20091
5 20094
6 200821
7 200817
8 20077
9
SAS Companion for Nonparametric Statistics
200510
10 20041
11 200321
12 200244
13
Images of the Rust Belt
19994
14 19961
15 198725
16 198765
17 19841
18 19820
19 19754
20 197260

About James J. Higgins

James J. Higgins is a scholar working on Statistics and Probability, Agronomy and Crop Science, Animal Science and Zoology, Small Animals and Management Science and Operations Research, having authored 153 papers that have together received 4.9k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (31 papers), Advanced Statistical Methods and Models (18 papers), Animal Nutrition and Physiology (17 papers), Statistical Distribution Estimation and Applications (16 papers), Genetic and phenotypic traits in livestock (14 papers), Reproductive Physiology in Livestock (13 papers), Meat and Animal Product Quality (11 papers) and Effects of Environmental Stressors on Livestock (10 papers). The work is most often cited by research in Human-Computer Interaction (643 citations), Statistics and Probability (804 citations), Agronomy and Crop Science (689 citations), Animal Science and Zoology (560 citations) and Statistics, Probability and Uncertainty (309 citations). James J. Higgins has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Darren Gergle, Leah Findlater, Jacob O. Wobbrock, R. Clifford Blair, Imad Khamis, James S. Drouillard, Shlomo S. Sawilowsky, Brandon E. Depenbusch, J. E. Minton and Steven S Dritz. Their work appears in journals such as Journal of Animal Science, IEEE Transactions on Reliability, The American Statistician, Journal of Dairy Science and Applied Mathematics and Computation.

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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