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.
The 'segment length curse' in long tree-ring chronology development for palaeoclimatic studies
1995556 citationsEdward R. Cook, Keith R. Briffa et al.The Holoceneprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Donald A. Graybill
Since
Specialization
Citations
This map shows the geographic impact of Donald A. Graybill'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 Donald A. Graybill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald A. Graybill more than expected).
Fields of papers citing papers by Donald A. Graybill
This network shows the impact of papers produced by Donald A. Graybill. 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 Donald A. Graybill. The network helps show where Donald A. Graybill may publish in the future.
Co-authorship network of co-authors of Donald A. Graybill
This figure shows the co-authorship network connecting the top 25 collaborators of Donald A. Graybill.
A scholar is included among the top collaborators of Donald A. Graybill 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 Donald A. Graybill. Donald A. Graybill is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cook, Edward R., Keith R. Briffa, David M. Meko, Donald A. Graybill, & Gary Funkhouser. (1995). The 'segment length curse' in long tree-ring chronology development for palaeoclimatic studies. The Holocene. 5(2). 229–237.556 indexed citations breakdown →
5.
Graybill, Donald A., et al.. (1994). Tree-Rings and Climate: Implications for Great Basin Paleoenvironmental Studies. High Level Radioactive Waste Management. 2569–2573.3 indexed citations
Graybill, Donald A., et al.. (1990). Analysis of Growth Trends and Variation in Conifers from Arizona and New Mexico: Youthful Trees, Competition, and Densitometric Chronologies. UA Campus Repository (The University of Arizona).1 indexed citations
Graybill, Donald A.. (1985). Western U.S. Tree-Ring Index Chronology Data for Detection of Arboreal Response to Increasing Carbon Dioxide. UA Campus Repository (The University of Arizona).3 indexed citations
Graybill, Donald A., et al.. (1982). Chronology development and analysis.. 21–31.47 indexed citations
14.
Ferguson, C. W. & Donald A. Graybill. (1981). Dendrochronology of Bristlecone Pine. UA Campus Repository (The University of Arizona).3 indexed citations
15.
Graybill, Donald A.. (1979). Revised Computer Programs for Tree-Ring Research. UA Campus Repository (The University of Arizona).33 indexed citations
16.
Graybill, Donald A.. (1973). Prehistoric settlement pattern analysis in the Mimbres Region, New Mexico. UA Campus Repository (The University of Arizona).3 indexed citations
17.
Graybill, Donald A., et al.. (1970). Navajo Warfare and Economy, 1750-1868. UA Campus Repository (The University of Arizona).
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.