G. A. Codd

6.9k citations
140 papers · 5.3k indexed · h-index 47

G. A. Codd

138 papers receiving 4.9k citations

Peers

G. A. Codd
Comparison fields: 5 of 132
  • Environmental Chemistry 3.1k
  • Oceanography 1.9k
  • Ecology, Evolution, Behavior and Systematics 1.1k
  • Renewable Energy, Sustainability and the Environment 875
  • Health, Toxicology and Mutagenesis 744
Replace Maria T. C. Runnegar with:
Maria T. C. Runnegar United States
Assaf Sukenik Israel
Ian R. Falconer Australia
Kenneth A. Beattie United Kingdom
Mariyo F. Watanabe Japan
James S. Metcalf United Kingdom
G. R. Shaw Australia
Georg Pohnert Germany
Lirong Song China
Susan I. Blackburn Australia
G. A. Codd relative to Maria T. C. Runnegar United States Maria T. C. Runnegar's profile →
Citations per field
00.5×1.5×2.4×
Maria T. C. Runnegar · 1×
Citations per year

Countries citing papers authored by G. A. Codd

Since Specialization
Citations

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

Fields of papers citing papers by G. A. Codd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. A. Codd. 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 G. A. Codd. The network helps show where G. A. Codd may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201299
2
CYANOBACTERIAL BLOOMS : TOXICITY, DIVERSITY, MODELLING AND MANAGEMENT
20111
3 200945
4 200646
5 20054
6
Acumulación de Cu y Zn por células microalgales marinas de Nannochloropsis gaditana(Eustigmatophyceae) inmovilizadas en alginato de calcio
20021
7
The presence of microcystin-like compounds in blooms of the marine cyanobacterium, Trichodesmium spp.
20012
8 200060
9 199845
10 199446
11 199493
12 199333
13 1991114
14 1989123
15 198137
16 198010
17 197818
18 19760
19 197115
20 197011

About G. A. Codd

G. A. Codd is a scholar working on Environmental Chemistry, Renewable Energy, Sustainability and the Environment and Oceanography, having authored 140 papers that have together received 5.3k indexed citations. Recurring topics across this work include Aquatic Ecosystems and Phytoplankton Dynamics (66 papers), Algal biology and biofuel production (39 papers), Photosynthetic Processes and Mechanisms (36 papers), Biocrusts and Microbial Ecology (34 papers), Marine and coastal ecosystems (24 papers), Aquatic Ecosystems and Biodiversity (14 papers), Marine Toxins and Detection Methods (14 papers) and Environmental Toxicology and Ecotoxicology (13 papers). The work is most often cited by research in Environmental Chemistry (3.1k citations), Oceanography (1.9k citations) and Ecology, Evolution, Behavior and Systematics (1.1k citations). G. A. Codd has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include James S. Metcalf, Karen Beattie, F. B. Eddy, W. D. P. Stewart, Linda A. Lawton, Nicolas R. Bury, Jappe H. de Best, M. J. Merrett, Grace K. Poon and William P. Brooks. Their work appears in journals such as Archives of Microbiology, Planta, Microbiology, Toxicon and PLANT PHYSIOLOGY.

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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