D. W. Goodall

1.5k total citations · 2 hit papers
17 papers, 898 citations indexed

About

D. W. Goodall is a scholar working on Plant Science, Nature and Landscape Conservation and Environmental Engineering. According to data from OpenAlex, D. W. Goodall has authored 17 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Plant Science, 5 papers in Nature and Landscape Conservation and 3 papers in Environmental Engineering. Recurrent topics in D. W. Goodall's work include Botany and Plant Ecology Studies (5 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Growth and nutrition in plants (4 papers). D. W. Goodall is often cited by papers focused on Botany and Plant Ecology Studies (5 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Growth and nutrition in plants (4 papers). D. W. Goodall collaborates with scholars based in Australia and United Kingdom. D. W. Goodall's co-authors include E.A.N. Greenwood, H. T. Clifford and J. L. Wheeler and has published in prestigious journals such as Ecology, Plant and Soil and Australian Journal of Botany.

In The Last Decade

D. W. Goodall

17 papers receiving 643 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Some Considerations in the Use of Point Quadrats for the Analysis of Vegetation

1952 318 citations D. W. Goodall Australian Journal of Biological Sciences profile →
Objective methods for the classification of vegetation. III. An essay in the use of factor analysis

1954 229 citations D. W. Goodall Australian Journal of Botany profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
D. W. Goodall Australia	12	400	352	305	190	140	17	898
M. E. D. Poore Malaysia	12	419 1.0×	309 0.9×	248 0.8×	230 1.2×	147 1.1×	24	818
Alton A. Lindsey United States	15	392 1.0×	309 0.9×	322 1.1×	122 0.6×	256 1.8×	33	761
A. S. Watt United Kingdom	17	610 1.5×	450 1.3×	359 1.2×	332 1.7×	150 1.1×	28	1.1k
F. H. Perring United States	14	385 1.0×	577 1.6×	280 0.9×	407 2.1×	108 0.8×	29	1.1k
G. A. Yarranton Canada	15	542 1.4×	366 1.0×	279 0.9×	368 1.9×	240 1.7×	29	943
James Hastings United States	8	227 0.6×	221 0.6×	295 1.0×	90 0.5×	166 1.2×	13	626
Stan R. Szarek United States	13	261 0.7×	347 1.0×	221 0.7×	248 1.3×	443 3.2×	17	926
H. Walter Germany	8	383 1.0×	170 0.5×	195 0.6×	173 0.9×	291 2.1×	21	691
Alan T. Carpenter United States	11	463 1.2×	241 0.7×	483 1.6×	167 0.9×	228 1.6×	17	858
D Glenn-Lewin United States	4	604 1.5×	211 0.6×	281 0.9×	193 1.0×	334 2.4×	5	833

Countries citing papers authored by D. W. Goodall

Since Specialization

Citations

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

Fields of papers citing papers by D. W. Goodall

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. W. Goodall

This figure shows the co-authorship network connecting the top 25 collaborators of D. W. Goodall. A scholar is included among the top collaborators of D. W. Goodall based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. W. Goodall. D. W. Goodall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Goodall, D. W., et al.. (1968). Relationship in annual species of Medicago . VI. Two-dimensional chromatography of the phenolics and analysis of the results by probabilistic similarity methods. Australian Journal of Botany. 16(1). 89–100. 13 indexed citations

Clifford, H. T. & D. W. Goodall. (1967). A numerical contribution to the classification of the Poaceae. Australian Journal of Botany. 15(3). 499–519. 13 indexed citations

Wheeler, J. L., et al.. (1966). The relative unimportance of certain soil properties as dererminants of growth of forage oats. Australian Journal of Experimental Agriculture and Animal Husbandry. 6(23). 402–408. 5 indexed citations

Greenwood, E.A.N., et al.. (1965). The measurement of nitrogen deficiency in grass swards. Plant and Soil. 23(1). 97–116. 24 indexed citations

Goodall, D. W., et al.. (1962). A Crosswire Sighting Tube for Point Quadrat Analysis. Ecology. 43(2). 342–342. 45 indexed citations

Goodall, D. W.. (1961). Objective Methods for the classification of Vegetation. IV. Pattern and minimal area. Australian Journal of Botany. 9(2). 162–196. 34 indexed citations

Goodall, D. W.. (1960). Breeding tobacco resistant to blue mould.. 14. 1 indexed citations

Goodall, D. W., et al.. (1958). Nutrient Interactions and Deficiency Diagnosis in the Lettuce V. Potassium Content and Response to Potassium. Australian Journal of Biological Sciences. 11(4). 471–484. 4 indexed citations

Goodall, D. W., et al.. (1958). Nutrient Interactions and Deficiency Diagnosis in the Lettuce IV. Phosphorus Content and Response to Phosphorus. Australian Journal of Biological Sciences. 11(1). 30–44. 8 indexed citations

10.

Goodall, D. W., et al.. (1957). Nutrient Interactions and Deficiency Diagnosis in the Lettuce III. Nitrogen Content and Response to Nitrogen. Australian Journal of Biological Sciences. 10(3). 253–278. 12 indexed citations

11.

Goodall, D. W., et al.. (1957). Nutrient Interactions and Deficiency Diagnosis in the Lettuce II. Effects of Nutrition on Water Content. Australian Journal of Biological Sciences. 10(1). 57–65. 5 indexed citations

12.

Goodall, D. W., et al.. (1955). Nutrient Interactions and Deficiency Diagnosis in the Lettuce. Australian Journal of Biological Sciences. 8(3). 301–329. 19 indexed citations

13.

Goodall, D. W.. (1954). Objective methods for the classification of vegetation. III. An essay in the use of factor analysis. Australian Journal of Botany. 2(3). 304–324. 229 indexed citations breakdown →

14.

Goodall, D. W.. (1953). Point Quadrat methods for the analysis of vegetation — the treatment of data for tussock grasses. Australian Journal of Botany. 1(3). 457–461. 32 indexed citations

15.

Goodall, D. W.. (1953). Objective methods for the classification of vegetation. II. Fidelity and indicator value. Australian Journal of Botany. 1(3). 434–456. 35 indexed citations

16.

Goodall, D. W.. (1953). Objective methods for the classification of vegetation. I. The use of positive interspecific correlation. Australian Journal of Botany. 1(1). 39–63. 101 indexed citations

17.

Goodall, D. W.. (1952). Some Considerations in the Use of Point Quadrats for the Analysis of Vegetation. Australian Journal of Biological Sciences. 5(1). 1–41. 318 indexed citations breakdown →

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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