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.
General method for determining anaerobic biodegradation potential
1984404 citationsDaniel R. Shelton et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Daniel R. Shelton
Since
Specialization
Citations
This map shows the geographic impact of Daniel R. Shelton'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 Daniel R. Shelton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Shelton more than expected).
Fields of papers citing papers by Daniel R. Shelton
This network shows the impact of papers produced by Daniel R. Shelton. 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 Daniel R. Shelton. The network helps show where Daniel R. Shelton may publish in the future.
Co-authorship network of co-authors of Daniel R. Shelton
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Shelton.
A scholar is included among the top collaborators of Daniel R. Shelton 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 Daniel R. Shelton. Daniel R. Shelton is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Pachepsky, Yakov, et al.. (2017). Temporal stability of E. coli concentration patterns in two irrigation ponds in Maryland. EGUGA. 3763.1 indexed citations
Pachepsky, Yakov, et al.. (2009). E. coli Resuspension During an Artificial High-flow Event in a Small First-order Creek. EGUGA. 9880.7 indexed citations
8.
Pachepsky, Yakov, et al.. (2008). Strain-dependent variations in attachment of E. coli to soil particles of different sizes. International Agrophysics. 22(1). 61–66.44 indexed citations
9.
Pachepsky, Yakov, et al.. (2006). Limited entrapment model to simulate the breakthrough of Arthrobacter and Aquaspirillum in soil columns. International Agrophysics. 20(3). 207–218.4 indexed citations
10.
Pachepsky, Yakov, et al.. (2005). Transport of manure-borne Cryptosporidium parvum oocysts through saturated and unsaturated soil columns. International Agrophysics. 19(4). 315–322.6 indexed citations
Baenziger, P. Stephen, B. Moreno‐Sevilla, C. J. Peterson, et al.. (2000). Registration of 'Culver' wheat.. Crop Science. 40(3). 862–863.3 indexed citations
15.
Graybosch, R. A., C. J. Peterson, P. Stephen Baenziger, & Daniel R. Shelton. (1995). Environmental Modification of Hard Red Winter\nWheat Flour Protein Composition. Insecta mundi.86 indexed citations
16.
Berglund, Patricia & Daniel R. Shelton. (1993). Effect of frozen storage duration on firming properties of breads baked from frozen doughs.. Cereal Foods World. 38(2). 89–93.25 indexed citations
17.
Shelton, Daniel R., et al.. (1991). Microstructure of wheat starch : from kernel to bread. Food technology. 45(3).13 indexed citations
18.
Shelton, Daniel R. & B.L. D'Appolonia. (1985). Carbohydrate functionality in the baking process. Cereal Foods World. 30(7). 437–442.21 indexed citations
19.
Shelton, Daniel R. & J.M. Tiedje. (1981). Development of test for determining anaerobic biodegradation potential. Report for Sep 79-Sep 81. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).1 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.