William D. Warde

1.8k citations
29 papers · 1.3k · 1 hit paper · h-index 14

Impact in

Papers in

    • Bayesian Methods and Mixture Models 6
    • Advanced Clustering Algorithms Research 5
    • Rangeland and Wildlife Management 4
    • Wildlife Ecology and Conservation 2

William D. Warde

28 papers receiving 1.1k citations

William D. Warde's Hit Papers

Elementary Survey Sampling 1987 · 662 citations
6620+13+26Years since publication200400600

Peers

William D. Warde
Comparison fields: 5 of 170
  • Statistics and Probability 233
  • Nature and Landscape Conservation 160
  • Ecology 322
  • Ecological Modeling 37
  • Global and Planetary Change 131
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William D. Warde relative to W. A. Fuller Canada W. A. Fuller's profile →
Citations per field
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Countries citing papers authored by William D. Warde

Since Specialization
Citations

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

Fields of papers citing papers by William D. Warde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Elementary Survey Sampling
Hit paper breakdown →
1987662
2 2002114
3
USE AND INTERPRETATION OF STATISTICS IN WILDLIFE JOURNALS
198277
4 198173
5 200451
6 198533
7 198933
8 200532
9 200524
10 200923
11 197919
12 200017
13 198717
14 198514
15 200813
16 200812
17 200511
18 198011
19 19877
20 20065

About William D. Warde

William D. Warde is a scholar working on Artificial Intelligence, Ecology, Statistics and Probability, Nature and Landscape Conservation and Nutrition and Dietetics, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (6 papers), Advanced Clustering Algorithms Research (5 papers), Rangeland and Wildlife Management (4 papers), Survey Sampling and Estimation Techniques (3 papers), Advanced Statistical Methods and Models (2 papers), Wildlife Ecology and Conservation (2 papers), Fish Ecology and Management Studies (2 papers) and Nutrition, Health and Food Behavior (2 papers). The work is most often cited by research in Statistics and Probability (233 citations), Nature and Landscape Conservation (160 citations), Ecology (322 citations), Ecological Modeling (37 citations) and Global and Planetary Change (131 citations). William D. Warde has collaborated with scholars based in United States and South Korea. Frequent co-authors include Richard L. Scheaffer, Lyman Ott, William M. Mendenhall, Jong‐Min Kim, James W. Petranka, Thomas C. Tacha, Kenneth P. Burnham, Janice L. DuBien, Robert E. Rolley and Jonathan A. Jenks. Their work appears in journals such as Journal of Wildlife Management, Long Range Planning, Computational Statistics & Data Analysis, Technometrics and Journal of Statistical Planning and Inference.

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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