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.
Countries citing papers authored by Nolan J. Doesken
Since
Specialization
Citations
This map shows the geographic impact of Nolan J. Doesken'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 Nolan J. Doesken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nolan J. Doesken more than expected).
Fields of papers citing papers by Nolan J. Doesken
This network shows the impact of papers produced by Nolan J. Doesken. 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 Nolan J. Doesken. The network helps show where Nolan J. Doesken may publish in the future.
Co-authorship network of co-authors of Nolan J. Doesken
This figure shows the co-authorship network connecting the top 25 collaborators of Nolan J. Doesken.
A scholar is included among the top collaborators of Nolan J. Doesken 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 Nolan J. Doesken. Nolan J. Doesken is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Robinson, David A. & Nolan J. Doesken. (2017). CoCoRaHS: A Community Science Program Providing Valuable Precipitation Data to Guide Decision Making. AGUFM. 2017.1 indexed citations
Doesken, Nolan J.. (2013). Progress Under Duress -- National Integrated Drought Information System (NIDIS) assessment and early warning in the Upper Colorado River Basin.1 indexed citations
Doesken, Nolan J.. (2005). The National Weather Service MMTS (Maximum-Minimum Temperature System) -- 20 years after.6 indexed citations
9.
Doesken, Nolan J.. (2005). AN EVALUATION OF TWO ULTRASONIC SNOW DEPTH SENSORS FOR POTENTIAL USE AT AUTOMATED SURFACE WEATHER OBSERVING SITES.4 indexed citations
Doesken, Nolan J., et al.. (2004). Evaluation of Two Ultrasonic Snow Depth Sensors for National Weather Service Automated Surface Observation System Sites. AGU Fall Meeting Abstracts. 2004.2 indexed citations
13.
Doesken, Nolan J.. (2001). Temperature Data Continuity In The ASOS (Automated Surface Observing System) Era–Determining Station Averages.1 indexed citations
14.
Doesken, Nolan J.. (2000). Microscale rainfall variations as measured by a local volunteer network.4 indexed citations
15.
McKee, Thomas B., et al.. (2000). History of drought in Colorado: lessons learned and what lies ahead, A. Digital Collections of Colorado (Colorado State University).10 indexed citations
Changnon, David, Thomas B. McKee, & Nolan J. Doesken. (1990). Hydroclimatic Variability in the Rocky Mountain Region.. Digital Collections of Colorado (Colorado State University).5 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.