Barbara G. Williams

35 total papers · 859 total citations
31 papers, 711 citations indexed

About

Barbara G. Williams is a scholar working on Ecology, Global and Planetary Change and Endocrine and Autonomic Systems. According to data from OpenAlex, Barbara G. Williams has authored 31 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, 11 papers in Global and Planetary Change and 9 papers in Endocrine and Autonomic Systems. Recurrent topics in Barbara G. Williams's work include Crustacean biology and ecology (18 papers), Marine and fisheries research (10 papers) and Circadian rhythm and melatonin (9 papers). Barbara G. Williams is often cited by papers focused on Crustacean biology and ecology (18 papers), Marine and fisheries research (10 papers) and Circadian rhythm and melatonin (9 papers). Barbara G. Williams collaborates with scholars based in New Zealand, United States and United Kingdom. Barbara G. Williams's co-authors include E. Naylor, John D. Palmer, Conrad A. Pilditch, Roger Atkinson, Harold B. Dowse, R.S.V. Pullin, John A. Williams, Hugo Aréchigá, Dawn Adams and John D. Horton and has published in prestigious journals such as Journal of Experimental Biology, The American Journal of Surgery and Journal of Experimental Marine Biology and Ecology.

In The Last Decade

Barbara G. Williams

30 papers receiving 655 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Barbara G. Williams	419	272	198	168	166	31	711
Miriam F. Bennett	264 0.6×	177 0.7×	76 0.4×	78 0.5×	196 1.2×	37	756
H. Marguerite Webb	269 0.6×	87 0.3×	75 0.4×	74 0.4×	163 1.0×	28	639
Ann C. Andersen	278 0.7×	148 0.5×	345 1.7×	186 1.1×	244 1.5×	41	858
Enrique Arboleda	213 0.5×	133 0.5×	177 0.9×	167 1.0×	230 1.4×	11	690
Leonard Kass	196 0.5×	108 0.4×	73 0.4×	116 0.7×	461 2.8×	32	888
Kandula Pampapathi Rao	373 0.9×	197 0.7×	150 0.8×	20 0.1×	111 0.7×	33	704
Edward Gaten	446 1.1×	210 0.8×	157 0.8×	48 0.3×	189 1.1×	36	727
C. Hauenschild	207 0.5×	157 0.6×	251 1.3×	40 0.2×	83 0.5×	26	683
Meredith M. Doellman	339 0.8×	79 0.3×	112 0.6×	192 1.1×	31 0.2×	28	905
P. M. J. Shelton	413 1.0×	213 0.8×	124 0.6×	19 0.1×	300 1.8×	46	878

Countries citing papers authored by Barbara G. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Barbara G. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara G. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Barbara G. Williams. A scholar is included among the top collaborators of Barbara G. Williams 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 Barbara G. Williams. Barbara G. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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