Mark Williamson

778 total citations
10 papers, 612 citations indexed

About

Mark Williamson is a scholar working on Plant Science, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mark Williamson has authored 10 papers receiving a total of 612 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Plant Science, 1 paper in Surgery and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Mark Williamson's work include Botany and Plant Ecology Studies (1 paper), Pacific and Southeast Asian Studies (1 paper) and Plant and Biological Electrophysiology Studies (1 paper). Mark Williamson is often cited by papers focused on Botany and Plant Ecology Studies (1 paper), Pacific and Southeast Asian Studies (1 paper) and Plant and Biological Electrophysiology Studies (1 paper). Mark Williamson collaborates with scholars based in Australia. Mark Williamson's co-authors include George C. Williams, M. P. Hassell, Robert H. MacArthur, Edward O. Wilson, Peter H. Johansen, François Chapleau, Judith Mackson, P. Holgate, S. E. Tett and Remo Ostini and has published in prestigious journals such as Journal of Animal Ecology, Oikos and Pharmacoepidemiology and Drug Safety.

In The Last Decade

Mark Williamson

10 papers receiving 569 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Williamson Australia	6	272	200	183	176	95	10	612
B. A. Wilcox United States	9	142 0.5×	205 1.0×	244 1.3×	210 1.2×	55 0.6×	15	567
O. Burton United Kingdom	7	238 0.9×	327 1.6×	212 1.2×	209 1.2×	38 0.4×	7	640
Mårten Åström Sweden	11	232 0.9×	72 0.4×	237 1.3×	352 2.0×	175 1.8×	12	584
Michael E. Moody United States	10	294 1.1×	197 1.0×	293 1.6×	414 2.4×	327 3.4×	19	851
Torbjörn Ebenhard Sweden	14	189 0.7×	164 0.8×	418 2.3×	249 1.4×	36 0.4×	22	670
William S. Gaud United States	7	266 1.0×	95 0.5×	342 1.9×	216 1.2×	103 1.1×	15	684
Adam D. Simmons United Kingdom	3	503 1.8×	330 1.6×	376 2.1×	481 2.7×	51 0.5×	5	985
Alexander Kubisch Germany	13	422 1.6×	301 1.5×	364 2.0×	373 2.1×	80 0.8×	20	922
Robert A. East New Zealand	12	183 0.7×	89 0.4×	431 2.4×	172 1.0×	58 0.6×	34	691
C. V. Haridas United States	10	198 0.7×	90 0.5×	302 1.7×	275 1.6×	79 0.8×	14	600

Countries citing papers authored by Mark Williamson

Since Specialization

Citations

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

Fields of papers citing papers by Mark Williamson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Williamson. A scholar is included among the top collaborators of Mark Williamson 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 Mark Williamson. Mark Williamson 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:

10 of 10 papers shown

1.

Ostini, Remo, Desley Hegney, Judith Mackson, Mark Williamson, & S. E. Tett. (2008). Why is the use of clopidogrel increasing rapidly in Australia? An exploration of geographical location, age, sex and cardiac stenting rates as possible influences on clopidogrel use. Pharmacoepidemiology and Drug Safety. 17(11). 1077–1090. 10 indexed citations

2.

Williamson, Mark. (1990). Between MITI and the Market: Japanese Industrial Policy for High Technology. By Daniel I. Okimoto. Stanford: Stanford University Press, 1989. xviii, 267 pp. $27.50.. The Journal of Asian Studies. 49(1). 165–167. 5 indexed citations

3.

Chapleau, François, Peter H. Johansen, & Mark Williamson. (1988). The Distinction between Pattern and Process in Evolutionary Biology: The Use and Abuse of the Term 'Strategy'. Oikos. 53(1). 136–136. 19 indexed citations

4.

Williamson, Mark & Peter W. Price. (1981). Evolutionary Biology of Parasites. Journal of Animal Ecology. 50(3). 977–977. 1 indexed citations

5.

Williamson, Mark & George C. Williams. (1975). Sex and Evolution. Journal of Animal Ecology. 44(3). 937–937. 330 indexed citations

6.

Williamson, Mark & Robert H. MacArthur. (1974). Geographical Ecology. Patterns in the Distribution of Species. Journal of Animal Ecology. 43(2). 601–601. 21 indexed citations

7.

Holgate, P. & Mark Williamson. (1974). The Analysis of Biological Population.. Journal of the Royal Statistical Society Series D (The Statistician). 23(2). 143–143. 4 indexed citations

8.

Hassell, M. P. & Mark Williamson. (1973). The Analysis of Biological Populations. Journal of Animal Ecology. 42(2). 470–470. 104 indexed citations

9.

Williamson, Mark, Robert H. MacArthur, & Edward O. Wilson. (1969). The Theory of Island Biogeography. Journal of Animal Ecology. 38(2). 464–464. 115 indexed citations

10.

Williamson, Mark. (1951). Land Reform in Japan. Journal of Farm Economics. 33(2). 169–169. 3 indexed citations

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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