D. Ratcliff

42 papers receiving 1.3k citations

D. Ratcliff's Hit Papers

Generalized Iterative Scaling for Log-Linear Models 1972 · 770 citations
7700+18+36Years since publication250500750

Peers

D. Ratcliff
Comparison fields: 5 of 135
  • Animal Science and Zoology 374
  • Statistics and Probability 175
  • Forestry 79
  • Artificial Intelligence 545
  • Agronomy and Crop Science 131
Replace Walter T. Fédérer with:
Walter T. Fédérer United States
Jean‐Jacques Daudin France
R. A. Bailey United Kingdom
G. M. Tallis Australia
Osval A. Montesinos‐López Mexico
Donald S. Burdick United States
Jeffrey A. Witmer United States
Nancy Heckman Canada
Jorge Díez Spain
Sarah Brocklehurst United Kingdom
D. Ratcliff relative to Walter T. Fédérer United States Walter T. Fédérer's profile →
Citations per field
00.5×5.5×
Walter T. Fédérer · 1×
Citations per year

Countries citing papers authored by D. Ratcliff

Since Specialization
Citations

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

Fields of papers citing papers by D. Ratcliff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Generalized Iterative Scaling for Log-Linear Models
Hit paper breakdown →
1972770
2 198796
3 198173
4 197566
5 198459
6 197854
7 197444
8 198943
9 198042
10 197740
11 197838
12 197133
13 198318
14 198418
15 197616
16 198916
17 198516
18 198614
19 198312
20 198711

About D. Ratcliff

D. Ratcliff is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Forestry, Plant Science and Small Animals, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Meat and Animal Product Quality (14 papers), Ruminant Nutrition and Digestive Physiology (9 papers), Pasture and Agricultural Systems (7 papers), Animal Nutrition and Physiology (5 papers), Animal Behavior and Welfare Studies (5 papers), Bayesian Methods and Mixture Models (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Agroforestry and silvopastoral systems (3 papers). The work is most often cited by research in Animal Science and Zoology (374 citations), Statistics and Probability (175 citations), Forestry (79 citations), Artificial Intelligence (545 citations) and Agronomy and Crop Science (131 citations). D. Ratcliff has collaborated with scholars based in Australia and United States. Frequent co-authors include J. N. Darroch, P. E. Bouton, P. V. HARRIS, R. M. Jones, WR Shorthose, J. B. Hacker, J. J. MACFARLANE, J. M. O'SHEA, Joseph W. F. Robertson and J. A. G. Irwin. Their work appears in journals such as Journal of Food Science, Field Crops Research, Journal of Applied Ecology, Journal of the American Statistical Association and Biometrika.

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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