Jeff Douglas

87 papers receiving 2.3k citations

Peers

Jeff Douglas
Comparison fields: 5 of 176
  • Management Science and Operations Research 445
  • Statistics and Probability 231
  • Forestry 99
  • General Health Professions 464
  • Anesthesiology and Pain Medicine 74
Replace A. A. Afifi with:
A. A. Afifi United States
Thomas Hassard Canada
Neil H. Timm United States
Tom Leonard United Kingdom
James E. Grizzle United States
Phillip Good Australia
Robert Schall South Africa
Charles S. Davis United States
C F Starmer United States
Jean Martin United States
Jeff Douglas relative to A. A. Afifi United States A. A. Afifi's profile →
Citations per field
00.5×12.4×
A. A. Afifi · 1×
Citations per year

Countries citing papers authored by Jeff Douglas

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Douglas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999238
2 1996211
3 1999189
4
Building research capacity in family medicine: evaluation of the Grant Generating Project.
2002170
5 2002168
6 1996149
7 2005128
8 2004112
9 201385
10 201080
11 196762
12 200560
13 199757
14 200154
15 199851
16 200850
17 200648
18 198645
19 197938
20 200633

About Jeff Douglas

Jeff Douglas is a scholar working on Plant Science, Agronomy and Crop Science, Forestry, Management Science and Operations Research and Computer Networks and Communications, having authored 91 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pasture and Agricultural Systems (12 papers), Ruminant Nutrition and Digestive Physiology (11 papers), Psychometric Methodologies and Testing (10 papers), Advanced Statistical Modeling Techniques (9 papers), Planetary Science and Exploration (8 papers), Astro and Planetary Science (7 papers), Crop Yield and Soil Fertility (6 papers) and Cognitive Abilities and Testing (5 papers). The work is most often cited by research in Management Science and Operations Research (445 citations), Statistics and Probability (231 citations), Forestry (99 citations), General Health Professions (464 citations) and Anesthesiology and Pain Medicine (74 citations). Jeff Douglas has collaborated with scholars based in United States, New Zealand and Canada. Frequent co-authors include William E. Scheckler, Thomas R. Konrad, Eric S. Williams, Donald E. Pathman, Mark Linzer, Robert A. Henson, Martha Gerrity, Mark D. Schwartz, Julia E. McMurray and Louis A. Roussos. Their work appears in journals such as Applied Psychological Measurement, New Zealand Journal of Agricultural Research, Psychometrika, Journal of Educational and Behavioral Statistics and Medical Care.

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.

Explore authors with similar magnitude of impact