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.
Effects of Invasive Alien Plants on Fire Regimes
20041.2k citationsMatthew L. Brooks, Carla M. D’Antonio et al.BioScienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Mike Pellant'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 Mike Pellant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mike Pellant more than expected).
This network shows the impact of papers produced by Mike Pellant. 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 Mike Pellant. The network helps show where Mike Pellant may publish in the future.
Co-authorship network of co-authors of Mike Pellant
This figure shows the co-authorship network connecting the top 25 collaborators of Mike Pellant.
A scholar is included among the top collaborators of Mike Pellant 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 Mike Pellant. Mike Pellant is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pellant, Mike, Patrick L. Shaver, David A. Pyke, et al.. (2020). Interpreting Indicators of Rangeland Health, Version 5: Bureau of Land Management Technical Reference 1734-6.5 indexed citations
Shaw, Nancy L. & Mike Pellant. (2009). Great Basin Native Plant Selection and Increase Project FY08 Progress Report.2 indexed citations
12.
Nowak, Robert S., Paul S. Doescher, Takayuki Tanaka, et al.. (2006). Integrating Weed Management and Restoration on Western Rangelands. Ecological Restoration. 24(3). 199–200.5 indexed citations
13.
Chambers, Jeanne C., E. Durant McArthur, Susan E. Meyer, et al.. (2005). Sagebrush steppe and pinyon-juniper ecosystems: effects of changing fire regimes, increased fuel loads, and invasive species.4 indexed citations
14.
Shaw, Nancy L., et al.. (2005). Increasing Native Forb Seed Supplies for the Great Basin. 35.30 indexed citations
15.
Shaw, Nancy L., Mike Pellant, & Stephen B. Monsen. (2005). Sage-grouse habitat restoration symposium.2 indexed citations
16.
Brooks, Matthew L., Carla M. D’Antonio, David M. Richardson, et al.. (2004). Effects of Invasive Alien Plants on Fire Regimes. BioScience. 54(7). 677–677.1213 indexed citations breakdown →
17.
Pellant, Mike. (2000). Fuels management in the Snake River Birds of Prey National Conservation Area. Scholar Works (Boise State University).2 indexed citations
18.
Pellant, Mike, et al.. (1999). Biological Soil Crusts: Natural Barriers to Bromus tectorum L. Establishment in the Northern Great Basin, USA.14 indexed citations
19.
Kochert, Michael N. & Mike Pellant. (1986). Multiple use in the Snake River Birds of Prey Area.. UA Campus Repository (The University of Arizona). 8(5). 217–220.27 indexed citations
20.
Pellant, Mike, et al.. (1984). Management and Rehabilitation of a Burned Winterfat Community in Southwestern Idaho. Scholar Works (Boise 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.