William McGraw

587 citations
10 papers · 354 · h-index 7

Impact in

    • Aquaculture Nutrition and Growth
    • Aquatic life and conservation
  • Ecology top 10%
    • Crustacean biology and ecology
    • Physiological and biochemical adaptations

Papers in

William McGraw

9 papers receiving 315 citations

Peers

William McGraw
Comparison fields: 5 of 58
  • Aquatic Science 242
  • Ecology 158
  • Algebra and Number Theory 18
  • Global and Planetary Change 70
  • Mathematical Physics 29
Replace Jonathan P. Good with:
Jonathan P. Good Australia
Kirk O. Hahn United States
Noordiyana Mat Noordin Malaysia
Ana Aranda García Spain
María Edith Ré Argentina
José Filipe Silva Brazil
Rogério Oliveira Faleiros Brazil
Arnil C. Emata Philippines
Malson N. Lucena Brazil
K.J. Farbridge Canada
William McGraw relative to Jonathan P. Good Australia Jonathan P. Good's profile →
Citations per field
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Jonathan P. Good · 1×
Citations per year

Countries citing papers authored by William McGraw

Since Specialization
Citations

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

Fields of papers citing papers by William McGraw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside William McGraw, 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 McGraw Line = papers co-authored together William McGraw links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2002111
2 200454
3 198252
4 200149
5
Considerations for Litopenaeus vannamei Reared in Inland Low Salinity Waters
200248
6 200325
7 200310
8 20033
9 20012
10
Students and online writing labs (OWLs): Challenges, learning strategies and attributes of high-quality OWLs
20070

About William McGraw

William McGraw is a scholar working on Aquatic Science, Mathematical Physics, Ecology, Algebra and Number Theory and Geometry and Topology, having authored 10 papers that have together received 354 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (5 papers), Crustacean biology and ecology (3 papers), Advanced Algebra and Geometry (3 papers), Marine and fisheries research (2 papers), Innovative Teaching and Learning Methods (2 papers), Algebraic Geometry and Number Theory (2 papers), Analytic Number Theory Research (2 papers) and Online Learning and Analytics (1 paper). The work is most often cited by research in Aquatic Science (242 citations), Ecology (158 citations), Algebra and Number Theory (18 citations), Global and Planetary Change (70 citations) and Mathematical Physics (29 citations). William McGraw has collaborated with scholars based in United States. Frequent co-authors include David B. Rouse, D. Allen Davis, David R. Teichert‐Coddington, John Scarpa, Claude E. Boyd, Nancy Vye, Richard A. Owings, Barry S. Stein, John D. Bransford and Jeffery J. Franks. Their work appears in journals such as Aquaculture, Journal of Number Theory, Journal of the London Mathematical Society, Mathematische Annalen and Journal of the World Aquaculture Society.

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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