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.
An overview of current applications, challenges, and future trends in distributed process-based models in hydrology
2016456 citationsSimone Fatichi, Enrique R. Vivoni et al.Journal of Hydrologyprofile →
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 Norm Jones'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 Norm Jones with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norm Jones more than expected).
This network shows the impact of papers produced by Norm Jones. 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 Norm Jones. The network helps show where Norm Jones may publish in the future.
Co-authorship network of co-authors of Norm Jones
This figure shows the co-authorship network connecting the top 25 collaborators of Norm Jones.
A scholar is included among the top collaborators of Norm Jones 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 Norm Jones. Norm Jones is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
15 of 15 papers shown
1.
Nelson, E. James, et al.. (2021). Water Data Explorer. Zenodo (CERN European Organization for Nuclear Research).1 indexed citations
Ames, Daniel P., et al.. (2016). An Extensible, Modular Architecture Coupling HydroShare and Tethys Platform to Deploy Water Science Web Apps. AGU Fall Meeting Abstracts. 2016.1 indexed citations
7.
Fatichi, Simone, Enrique R. Vivoni, Fred L. Ogden, et al.. (2016). An overview of current applications, challenges, and future trends in distributed process-based models in hydrology. Journal of Hydrology. 537. 45–60.456 indexed citations breakdown →
Jones, Norm, et al.. (2014). Tethys: A Software Framework for Web-Based Modeling and Decision Support Applications. ScholarsArchive (Brigham Young University). 1. 170.14 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.