Wayne D. Erskine

108 total papers · 2.7k total citations
94 papers, 2.0k citations indexed

About

Wayne D. Erskine is a scholar working on Ecology, Soil Science and Water Science and Technology. According to data from OpenAlex, Wayne D. Erskine has authored 94 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Ecology, 59 papers in Soil Science and 35 papers in Water Science and Technology. Recurrent topics in Wayne D. Erskine's work include Hydrology and Sediment Transport Processes (75 papers), Soil erosion and sediment transport (59 papers) and Hydrology and Watershed Management Studies (33 papers). Wayne D. Erskine is often cited by papers focused on Hydrology and Sediment Transport Processes (75 papers), Soil erosion and sediment transport (59 papers) and Hydrology and Watershed Management Studies (33 papers). Wayne D. Erskine collaborates with scholars based in Australia, United States and Iran. Wayne D. Erskine's co-authors include Ashley A. Webb, M. J. Saynor, Robin F. Warner, Richard T Bush, Annabelle F Keene, John W. Tilleard, Stanley A. Schumm, Gary Brierley, Kirstie Fryirs and Paul Bishop and has published in prestigious journals such as Journal of Hydrology, Journal of Environmental Management and Geological Society of America Bulletin.

In The Last Decade

Wayne D. Erskine

91 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Wayne D. Erskine 1.6k 1.1k 698 444 402 94 2.0k
Jean‐Paul Bravard 1.4k 0.9× 1.0k 0.9× 427 0.6× 361 0.8× 422 1.0× 107 2.2k
Chester C. Watson 1.5k 0.9× 727 0.6× 632 0.9× 497 1.1× 477 1.2× 59 1.9k
Guido Zolezzi 2.0k 1.3× 1.0k 0.9× 815 1.2× 570 1.3× 690 1.7× 93 2.5k
Andrew Brooks 1.3k 0.8× 1.1k 0.9× 460 0.7× 416 0.9× 288 0.7× 84 1.7k
Alexander Sukhodolov 2.3k 1.4× 845 0.7× 884 1.3× 450 1.0× 462 1.1× 61 2.7k
David J. Topping 1.4k 0.9× 958 0.8× 620 0.9× 260 0.6× 405 1.0× 81 1.7k
A. G. Roy 1.7k 1.1× 846 0.7× 944 1.4× 538 1.2× 277 0.7× 40 2.2k
A. D. Knighton 1.7k 1.1× 1.1k 0.9× 712 1.0× 438 1.0× 779 1.9× 44 2.3k
E. D. Andrews 2.3k 1.4× 1.4k 1.2× 911 1.3× 447 1.0× 478 1.2× 38 2.8k
Geraldene Wharton 1.7k 1.1× 808 0.7× 684 1.0× 436 1.0× 376 0.9× 56 2.4k

Countries citing papers authored by Wayne D. Erskine

Since Specialization
Citations

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

Fields of papers citing papers by Wayne D. Erskine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne D. Erskine

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne D. Erskine. A scholar is included among the top collaborators of Wayne D. Erskine 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 Wayne D. Erskine. Wayne D. Erskine 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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