Bill Shipley

24.1k citations
131 papers · 10.6k indexed · 6 hit papers · h-index 48

Impact in

Papers in

Bill Shipley

131 papers receiving 10.1k citations

Hit Papers

Cause and Correlation in Biology 2016 · 340 citations
3402000202620082017250500750

Peers

Bill Shipley
Comparison fields: 5 of 182
  • Nature and Landscape Conservation 5.4k
  • Ecological Modeling 1.2k
  • Ecology, Evolution, Behavior and Systematics 3.5k
  • Soil Science 1.4k
  • Ecology 3.2k
Replace Mark E. Ritchie with:
Mark E. Ritchie United States
Lin Jiang United States
Pablo Inchausti France
Juan J. Armestó Chile
Forest Isbell United States
Daniel S. Falster Australia
Michelle R. Leishman Australia
Keping Ma China
Jan Bengtsson Sweden
Helge Bruelheide Germany
Bill Shipley relative to Mark E. Ritchie United States Mark E. Ritchie's profile →
Citations per field
00.5×1.5×
Mark E. Ritchie · 1×
Citations per year

Countries citing papers authored by Bill Shipley

Since Specialization
Citations

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

Fields of papers citing papers by Bill Shipley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202215
2 20225
3 20217
4 20213
5 202022
6 202015
7 201835
8 201620
9 201337
10 201284
11 201230
12 201220
13
The AIC model selection method applied to path analytic models compared using a d‐separation test
Hit paper breakdown →
2012442
14 201122
15 201017
16 200988
17 200728
18 2006145
19 200410
20 1999155

About Bill Shipley

Bill Shipley is a scholar working on Nature and Landscape Conservation, Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Soil Science and Global and Planetary Change, having authored 131 papers that have together received 10.6k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (75 papers), Plant and animal studies (42 papers), Species Distribution and Climate Change (22 papers), Plant Water Relations and Carbon Dynamics (18 papers), Soil Carbon and Nitrogen Dynamics (18 papers), Bayesian Modeling and Causal Inference (7 papers), Plant nutrient uptake and metabolism (7 papers) and Forest ecology and management (7 papers). The work is most often cited by research in Nature and Landscape Conservation (5.4k citations), Ecological Modeling (1.2k citations), Ecology, Evolution, Behavior and Systematics (3.5k citations), Soil Science (1.4k citations) and Ecology (3.2k citations). Bill Shipley has collaborated with scholars based in Canada, France and Netherlands. Frequent co-authors include Paul A. Keddy, Éric Garnier, Denis Vile, Driss Meziane, D. R. Causton, Roderick Hunt, Andrew P. Askew, Jens Kattge, Dwayne R. J. Moore and Peter Manning. Their work appears in journals such as Ecology, Functional Ecology, Annals of Botany, Oikos and Journal of Vegetation Science.

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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