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.
Integrated environmental modeling: A vision and roadmap for the future
2012354 citationsGerard F. Laniak, G. Whelan et al.Environmental Modelling & Softwareprofile →
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 G. Whelan'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 G. Whelan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Whelan more than expected).
This network shows the impact of papers produced by G. Whelan. 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 G. Whelan. The network helps show where G. Whelan may publish in the future.
Co-authorship network of co-authors of G. Whelan
This figure shows the co-authorship network connecting the top 25 collaborators of G. Whelan.
A scholar is included among the top collaborators of G. Whelan 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 G. Whelan. G. Whelan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Wolfe, Kurt, Rajbir Parmar, G. Whelan, et al.. (2016). A Workflow to Model Microbial Loadings in Watersheds. ScholarsArchive (Brigham Young University).2 indexed citations
4.
Cyterski, Mike, et al.. (2014). Comparing Data Input Requirements of Statistical vs. Process-based Watershed Models Applied for Prediction of Fecal Indicator and Pathogen Levels in Recreational Beaches. AGU Fall Meeting Abstracts. 2014.2 indexed citations
Whelan, G., et al.. (2010). Using an Integrated, Multi-disciplinary Framework to Support Quantitative Microbial Risk Assessments. ScholarsArchive (Brigham Young University).4 indexed citations
10.
Whelan, G.. (2001). METHODOLOGICAL ADVANCES IN MODELLING AND FORECASTING CAR OWNERSHIP IN GREAT BRITAIN.9 indexed citations
Droppo, Jasha, et al.. (1989). Multimedia Environmental Pollutant Assessment System (MEPAS) application guidance. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).7 indexed citations
19.
Whelan, G., et al.. (1985). Development of the Remedial Action Priority System: an improved risk assessment tool for prioritizing hazardous and radioactive-mixed waste disposal sites. Pages.2 indexed citations
20.
Whelan, G., et al.. (1984). Development of improved risk assessment tools for prioritizing hazardous and radioactive-mixed waste disposal sites. [Atmospheric and overland pathways]. 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.