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.
Grand Challenges for Archaeology
2014223 citationsKeith Kintigh, Jeffrey H. Altschul et al.American Antiquityprofile →
Citations per year, relative to William K. Michener William K. Michener (= 1×)
peers
Mark Schildhauer
Countries citing papers authored by William K. Michener
Since
Specialization
Citations
This map shows the geographic impact of William K. Michener'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 William K. Michener with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William K. Michener more than expected).
Fields of papers citing papers by William K. Michener
This network shows the impact of papers produced by William K. Michener. 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 William K. Michener. The network helps show where William K. Michener may publish in the future.
Co-authorship network of co-authors of William K. Michener
This figure shows the co-authorship network connecting the top 25 collaborators of William K. Michener.
A scholar is included among the top collaborators of William K. Michener 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 William K. Michener. William K. Michener is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kintigh, Keith, Jeffrey H. Altschul, Ann P. Kinzig, et al.. (2015). Cultural Dynamics, Deep Time, and Data. Advances in Archaeological Practice. 3(1). 1–15.37 indexed citations
6.
Kintigh, Keith, Jeffrey H. Altschul, Mary C. Beaudry, et al.. (2014). Grand Challenges for Archaeology. American Antiquity. 79(1). 5–24.223 indexed citations breakdown →
Michener, William K., et al.. (2012). DataONE: A Distributed Environmental and Earth Science Data Network Supporting the Full Data Life Cycle. EGUGA. 11863.2 indexed citations
Michener, William K., et al.. (2009). DataONE: Enabling Data-Intensive Biological and Environmental Research through Cyberinfrastructure. AGUFM. 2009.1 indexed citations
11.
Cook, Robert B., et al.. (2009). Defining the Data Citation Problem in the DataNet Context. AGU Fall Meeting Abstracts. 2009.1 indexed citations
12.
Michener, William K.. (2006). The National Ecological Observatory Network. AGUSM. 2007.3 indexed citations
Michener, William K., et al.. (2000). Detecting Wetland Change: A Rule-Based Approach Using NWI and SPOT-XS Data. Photogrammetric Engineering & Remote Sensing. 66(2). 205–211.60 indexed citations
16.
Michener, William K. & J. Brunt. (2000). Ecological Data: Design, Management and Processing.69 indexed citations
Michener, William K., et al.. (1997). Detection of vegetation changes associated with extensive flooding in a forested ecosystem.. Photogrammetric Engineering & Remote Sensing. 63(12). 1363–1374.51 indexed citations
19.
Haddad, Kenneth D. & William K. Michener. (1991). Design and Implementation of a Coastal Resource Geographic Information System: Administrative Considerations. 1958–1967.2 indexed citations
20.
Michener, William K., et al.. (1989). Geographic Information Systems for Coastal Research. 4791–4805.1 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.