Hope M. Williams

9 total papers · 1.4k total citations
7 papers, 936 citations indexed

About

Hope M. Williams is a scholar working on Paleontology, Anthropology and Atmospheric Science. According to data from OpenAlex, Hope M. Williams has authored 7 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Paleontology, 6 papers in Anthropology and 4 papers in Atmospheric Science. Recurrent topics in Hope M. Williams's work include Pleistocene-Era Hominins and Archaeology (6 papers), Archaeology and ancient environmental studies (6 papers) and Geology and Paleoclimatology Research (4 papers). Hope M. Williams is often cited by papers focused on Pleistocene-Era Hominins and Archaeology (6 papers), Archaeology and ancient environmental studies (6 papers) and Geology and Paleoclimatology Research (4 papers). Hope M. Williams collaborates with scholars based in United States, South Africa and Greece. Hope M. Williams's co-authors include Tom Minichillo, Erich C. Fisher, Zenobia Jacobs, Panagiotis Karkanas, Andy I.R. Herries, Miryam Bar‐Matthews, Jocelyn Bernatchez, Peter Nilssen, Ian Watts and Paul Goldberg and has published in prestigious journals such as Nature, Quaternary Science Reviews and Journal of Archaeological Science.

In The Last Decade

Hope M. Williams

7 papers receiving 861 citations

Hit Papers

Early human use of marine... 2007 2026 2013 2019 2007 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Hope M. Williams 645 550 284 235 177 7 936
Peter Nilssen 921 1.4× 761 1.4× 435 1.5× 252 1.1× 235 1.3× 10 1.2k
Thomas P. Volman 814 1.3× 702 1.3× 390 1.4× 155 0.7× 281 1.6× 12 1.1k
Ralf Vogelsang 720 1.1× 573 1.0× 234 0.8× 261 1.1× 296 1.7× 27 905
Richard G. Milo 687 1.1× 522 0.9× 354 1.2× 81 0.3× 226 1.3× 10 871
S. N. Collcutt 736 1.1× 603 1.1× 500 1.8× 269 1.1× 78 0.4× 19 1.1k
Charlotte Beck 801 1.2× 812 1.5× 252 0.9× 322 1.4× 107 0.6× 25 1.1k
Les Kinsley 393 0.6× 353 0.6× 257 0.9× 227 1.0× 48 0.3× 17 1.0k
Mark J. Sier 681 1.1× 525 1.0× 346 1.2× 315 1.3× 47 0.3× 30 945
David M. Helgren 596 0.9× 500 0.9× 213 0.8× 304 1.3× 137 0.8× 30 1.1k
Johan Kamminga 779 1.2× 661 1.2× 375 1.3× 109 0.5× 139 0.8× 20 1.1k

Countries citing papers authored by Hope M. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Hope M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hope M. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Hope M. Williams. A scholar is included among the top collaborators of Hope M. 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 Hope M. Williams. Hope M. 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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