Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Natural Streams and the Legacy of Water-Powered Mills
2008613 citationsRobert C. Walter, Dorothy J. MerrittsScienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Robert C. Walter
Since
Specialization
Citations
This map shows the geographic impact of Robert C. Walter'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 Robert C. Walter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert C. Walter more than expected).
Fields of papers citing papers by Robert C. Walter
This network shows the impact of papers produced by Robert C. Walter. 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 Robert C. Walter. The network helps show where Robert C. Walter may publish in the future.
Co-authorship network of co-authors of Robert C. Walter
This figure shows the co-authorship network connecting the top 25 collaborators of Robert C. Walter.
A scholar is included among the top collaborators of Robert C. Walter 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 Robert C. Walter. Robert C. Walter is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Mayer, Paul M., et al.. (2019). Influence of groundwater residence time on biogeochemical transformation after legacy sediment removal from a headwater stream in Lancaster County, Pennsylvania, USA. AGUFM. 2019.1 indexed citations
6.
Forshay, Kenneth J., Julie N. Weitzman, Paul M. Mayer, et al.. (2018). Nitrate Decrease in Surface and Groundwater After Legacy Sediment Removal Restoration in a Floodplain Stream, Big Spring Run, PA USA.. AGU Fall Meeting Abstracts. 2018.1 indexed citations
7.
Walter, Robert C., et al.. (2018). A Controlled Freeze-Thaw Experiment to Model Sediment and Phosphorus Loads from Bank Erosion of Legacy Sediments. AGUFM. 2018.
Walter, Robert C. & Dorothy J. Merritts. (2008). Natural Streams and the Legacy of Water-Powered Mills. Science. 319(5861). 299–304.613 indexed citations breakdown →
11.
Merritts, Dorothy J., et al.. (2004). High Suspended Sediment Yields of the Conestoga River Watershed to the Susquehanna River and Chesapeake Bay are the Result of Ubiquitous Post-Settlement Mill Dams. AGUFM. 2004.3 indexed citations
Heine, Klaus & Robert C. Walter. (1996). Gypcretes of the central Namib desert (Namibia). University of Regensburg Publication Server (University of Regensburg).14 indexed citations
Walter, Robert C. & Atholl Anderson. (1995). Archaeology of Niue Island : initial results. Journal of the Polynesian Society. 104(4). 471–481.8 indexed citations
Hart, William K., et al.. (1985). Geochemistry of Late Miocene basalts from the western margin of the main Ethiopian Rift. Geol. Soc. Am., Abstr. Programs; (United States). 17.1 indexed citations
20.
Walter, Robert C., et al.. (1985). Geochemical and temporal patterns of felsic volcanism in Ethiopia. Geol. Soc. Am., Abstr. Programs; (United States). 17.4 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.