Ian W. Wright

11 papers receiving 648 citations

Peers

Ian W. Wright
Comparison fields: 5 of 114
  • Statistics and Probability 131
  • Nature and Landscape Conservation 156
  • Ecology 247
  • Ecological Modeling 41
  • Genetics 163
Replace Carlos A. Braumann with:
Carlos A. Braumann Portugal
P. M. North United Kingdom
Michael C. Denham United Kingdom
Daniel G. Brooks United States
Hilary L. Seal Switzerland
David C. Bowden United States
Catherine Larédo France
Andrew Thomas Canada
Carl M. O’Brien United Kingdom
Marco A. R. Ferreira United States
Ian W. Wright relative to Carlos A. Braumann Portugal Carlos A. Braumann's profile →
Citations per field
00.5×2×3.2×
Carlos A. Braumann · 1×
Citations per year

Countries citing papers authored by Ian W. Wright

Since Specialization
Citations

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

Fields of papers citing papers by Ian W. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian W. Wright. 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 Ian W. Wright. The network helps show where Ian W. Wright may publish in the future.

Co-authors

The 18 scholars most cited alongside Ian W. Wright, 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 Ian W. Wright Line = papers co-authored together Ian W. Wright links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1983246
2 2000191
3
Sampling Effort and Choice of Methods
200083
4 198056
5 198342
6 200732
7 200226
8 201023
9 200920
10 200620
11 19741
12 19720

About Ian W. Wright

Ian W. Wright is a scholar working on Nature and Landscape Conservation, Global and Planetary Change, Ecology, Applied Mathematics and Numerical Analysis, having authored 12 papers that have together received 740 indexed citations. Recurring topics across this work include Fish Ecology and Management Studies (4 papers), Marine and fisheries research (4 papers), Isotope Analysis in Ecology (2 papers), Statistical and numerical algorithms (2 papers), Ichthyology and Marine Biology (2 papers), Advanced Optimization Algorithms Research (1 paper), Insect and Arachnid Ecology and Behavior (1 paper) and Advanced Numerical Analysis Techniques (1 paper). The work is most often cited by research in Statistics and Probability (131 citations), Nature and Landscape Conservation (156 citations), Ecology (247 citations), Ecological Modeling (41 citations) and Genetics (163 citations). Ian W. Wright has collaborated with scholars based in Australia and United States. Frequent co-authors include Edward J. Wegman, Mike Calver, Jeff Short, J. Stuart Bradley, Jacques Hubert Charles Delabie, Jonathan David Majer, Brian Lee Fisher, Colin Ashley Simpfendorfer, Rory B. McAuley and D.J. Gaughan. Their work appears in journals such as Journal of the American Statistical Association, Fisheries Research, Global Ecology and Biogeography, New Zealand Journal of Marine and Freshwater Research and ICES Journal of Marine 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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