Paul Williams

1.2k total citations
10 papers, 778 citations indexed

About

Paul Williams is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Computer Networks and Communications. According to data from OpenAlex, Paul Williams has authored 10 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Nature and Landscape Conservation, 4 papers in Ecological Modeling and 3 papers in Computer Networks and Communications. Recurrent topics in Paul Williams's work include Species Distribution and Climate Change (4 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Distributed and Parallel Computing Systems (3 papers). Paul Williams is often cited by papers focused on Species Distribution and Climate Change (4 papers), Ecology and Vegetation Dynamics Studies (4 papers) and Distributed and Parallel Computing Systems (3 papers). Paul Williams collaborates with scholars based in United Kingdom, United States and Australia. Paul Williams's co-authors include Anthony G. Rebelo, David W. Gibbons, Chris Margules, Chris Humphries, Robert L. Pressey, Aaron Archer, Steven J. Phillips, Guy F. Midgley, Chris Preston and Wes Sechrest and has published in prestigious journals such as Trends in Plant Science, Conservation Biology and Biological Conservation.

In The Last Decade

Paul Williams

9 papers receiving 725 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Paul Williams United Kingdom	5	482	416	394	193	170	10	778
Jesper Bladt Denmark	11	322 0.7×	261 0.6×	224 0.6×	212 1.1×	127 0.7×	16	618
F. W. Kigenyi United Kingdom	5	341 0.7×	219 0.5×	245 0.6×	149 0.8×	132 0.8×	7	513
P. Viskanic United Kingdom	4	335 0.7×	211 0.5×	240 0.6×	136 0.7×	124 0.7×	5	489
Erin Conlisk United States	16	462 1.0×	303 0.7×	362 0.9×	443 2.3×	139 0.8×	29	905
Sonia Hugh Australia	9	296 0.6×	364 0.9×	319 0.8×	312 1.6×	93 0.5×	17	723
Valerija Babij Slovenia	7	239 0.5×	337 0.8×	277 0.7×	142 0.7×	132 0.8×	9	579
Katja M. Raatikainen Finland	6	533 1.1×	207 0.5×	334 0.8×	268 1.4×	336 2.0×	6	843
Fernanda Thiesen Brum Brazil	15	328 0.7×	298 0.7×	315 0.8×	252 1.3×	192 1.1×	37	709
Moisès Guardiola Spain	7	442 0.9×	183 0.4×	287 0.7×	277 1.4×	281 1.7×	30	782
Bastian Bomhard United Kingdom	11	262 0.5×	294 0.7×	206 0.5×	203 1.1×	134 0.8×	15	573

Countries citing papers authored by Paul Williams

Since Specialization

Citations

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

Fields of papers citing papers by Paul Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Williams. A scholar is included among the top collaborators of Paul 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 Paul Williams. Paul 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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10 of 10 papers shown

Hochkirch, Axel, Michael J. Samways, Justin Gerlach, et al.. (2020). A strategy for the next decade to address data deficiency in neglected biodiversity. Conservation Biology. 35(2). 502–509. 115 indexed citations

Brown, James, et al.. (2019). Microfluidic-based Growth and Imaging of Bacterial Biofilms. BIO-PROTOCOL. 9(24). 3 indexed citations

Phillips, Steven J., Paul Williams, Guy F. Midgley, & Aaron Archer. (2008). OPTIMIZING DISPERSAL CORRIDORS FOR THE CAPE PROTEACEAE USING NETWORK FLOW. Ecological Applications. 18(5). 1200–1211. 118 indexed citations

Pahwa, Jaspreet Singh, Richard J. White, Andrew Jones, et al.. (2006). Accessing biodiversity resources in computational environments from workflow applications. ORCA Online Research @Cardiff (Cardiff University). 314. 1–10. 4 indexed citations

Pahwa, Jaspreet Singh, Peter W. Brewer, Chris Yesson, et al.. (2006). Biodiversity World: a problem-solving environment for analysing biodiversity patterns. ORCA Online Research @Cardiff (Cardiff University). 8 pp.–208. 5 indexed citations

Williams, Paul, et al.. (2005). Complementarity analysis: Mapping the performance of surrogates for biodiversity. Biological Conservation. 128(2). 253–264. 72 indexed citations

White, Richard J., Andrew Jones, Tim Sutton, et al.. (2004). Building a biodiversity problem-solving environment. CentAUR (University of Reading). 38(6). 523–8.

Williams, Paul, David W. Gibbons, Chris Margules, et al.. (1996). A Comparison of Richness Hotspots, Rarity Hotspots, and Complementary Areas for Conserving Diversity of British Birds. Conservation Biology. 10(1). 155–174. 457 indexed citations

Williams, Paul, et al.. (1996). Phytos: plants and DNA technology for schools. Trends in Plant Science. 1(7). 241–243. 1 indexed citations

10.

McGarry, Michael P., et al.. (1976). Particulate matter induced periorbital abscess in gnotobiotic athymic nu/nu (nude) mice.. PubMed. 26(6 Pt 1). 956–8. 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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