S. A. Archfield

4.2k total citations · 2 hit papers
57 papers, 3.0k citations indexed

About

S. A. Archfield is a scholar working on Water Science and Technology, Global and Planetary Change and Ecology. According to data from OpenAlex, S. A. Archfield has authored 57 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Water Science and Technology, 31 papers in Global and Planetary Change and 13 papers in Ecology. Recurrent topics in S. A. Archfield's work include Hydrology and Watershed Management Studies (45 papers), Hydrology and Drought Analysis (26 papers) and Flood Risk Assessment and Management (18 papers). S. A. Archfield is often cited by papers focused on Hydrology and Watershed Management Studies (45 papers), Hydrology and Drought Analysis (26 papers) and Flood Risk Assessment and Management (18 papers). S. A. Archfield collaborates with scholars based in United States, United Kingdom and Switzerland. S. A. Archfield's co-authors include Robert M. Hirsch, Richard M. Vogel, Douglas Moyer, Karen R. Ryberg, Dennis R. Helsel, Edward J. Gilroy, A Blum, Laura A. De Cicco, Robert W. Dudley and Alberto Viglione and has published in prestigious journals such as Water Resources Research, Geophysical Research Letters and Journal of Hydrology.

In The Last Decade

S. A. Archfield

54 papers receiving 2.7k citations

Hit Papers

Weighted Regressions on Time, Discharge, and Season (WRTD... 2010 2026 2015 2020 2010 2020 100 200 300 400
What are hit papers?

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.

  1. Weighted Regressions on Time, Discharge, and Season (WRTDS), with an Application to Chesapeake Bay River Inputs1
    2010 438 citations Robert M. Hirsch, S. A. Archfield et al. JAWRA Journal of the American Water Resources Association profile →
  2. Statistical methods in water resources
    2020 377 citations Dennis R. Helsel, Robert M. Hirsch et al. Techniques and methods profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. A. Archfield United States 25 2.2k 1.5k 670 612 579 57 3.0k
Timothy A. Cohn United States 24 2.7k 1.2× 1.7k 1.1× 618 0.9× 1.2k 1.9× 813 1.4× 49 4.2k
L. C. Bowling United States 32 1.9k 0.9× 1.6k 1.1× 732 1.1× 513 0.8× 510 0.9× 103 3.5k
Nicholas Howden United Kingdom 33 2.0k 0.9× 782 0.5× 583 0.9× 1.6k 2.5× 595 1.0× 101 3.4k
Göran Lindström Sweden 26 3.1k 1.4× 2.4k 1.6× 821 1.2× 609 1.0× 404 0.7× 83 4.0k
Helen Davies United Kingdom 27 1.8k 0.8× 1.9k 1.3× 332 0.5× 341 0.6× 295 0.5× 53 2.8k
Xijun Lai China 23 1.2k 0.5× 942 0.6× 372 0.6× 279 0.5× 528 0.9× 90 1.9k
Kellie B. Vaché United States 20 1.5k 0.7× 1.1k 0.7× 614 0.9× 387 0.6× 358 0.6× 49 2.2k
Narayanan Kannan United States 21 3.5k 1.6× 2.0k 1.3× 1.2k 1.7× 925 1.5× 411 0.7× 60 4.0k
Jun Magome Japan 12 1.4k 0.7× 1.3k 0.8× 336 0.5× 207 0.3× 506 0.9× 57 2.3k
Marie‐Paule Bonnet France 35 1.6k 0.7× 1.8k 1.2× 565 0.8× 452 0.7× 799 1.4× 100 3.5k

Countries citing papers authored by S. A. Archfield

Since Specialization
Citations

This map shows the geographic impact of S. A. Archfield'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 S. A. Archfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. A. Archfield more than expected).

Fields of papers citing papers by S. A. Archfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. A. Archfield. 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 S. A. Archfield. The network helps show where S. A. Archfield may publish in the future.

Co-authorship network of co-authors of S. A. Archfield

This figure shows the co-authorship network connecting the top 25 collaborators of S. A. Archfield. A scholar is included among the top collaborators of S. A. Archfield 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 S. A. Archfield. S. A. Archfield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Beven, Keith, S. A. Archfield, Okke Batelaan, et al.. (2025). On the value of a history of hydrology and the establishment of a History of Hydrology Working Group. Hydrological Sciences Journal. 70(5). 717–729. 1 indexed citations
3.
4.
Archfield, S. A., et al.. (2023). Beyond Simple Trend Tests: Detecting Significant Changes in Design‐Flood Quantiles. Geophysical Research Letters. 50(13). 3 indexed citations
5.
Collins, Mathias J., Glenn A. Hodgkins, S. A. Archfield, & Robert M. Hirsch. (2022). The Occurrence of Large Floods in the United States in the Modern Hydroclimate Regime: Seasonality, Trends, and Large‐Scale Climate Associations. Water Resources Research. 58(2). 15 indexed citations
6.
Slater, Louise, Gabriele Villarini, S. A. Archfield, et al.. (2021). Global Changes in 20‐Year, 50‐Year, and 100‐Year River Floods. Geophysical Research Letters. 48(6). 103 indexed citations
7.
Kelleher, Christa, Heather E. Golden, & S. A. Archfield. (2021). Monthly river temperature trends across the US confound annual changes. Environmental Research Letters. 16(10). 104006–104006. 23 indexed citations
8.
Archfield, S. A., et al.. (2020). Spatial and Temporal Patterns of Low Streamflow and Precipitation Changes in the Chesapeake Bay Watershed. JAWRA Journal of the American Water Resources Association. 57(1). 96–108. 16 indexed citations
9.
Helsel, Dennis R., Robert M. Hirsch, Karen R. Ryberg, S. A. Archfield, & Edward J. Gilroy. (2020). Statistical methods in water resources. Techniques and methods. 377 indexed citations breakdown →
10.
11.
Blum, A, S. A. Archfield, Robert M. Hirsch, et al.. (2019). Updating estimates of low-streamflow statistics to account for possible trends. Hydrological Sciences Journal. 64(12). 1404–1414. 15 indexed citations
12.
Blum, A, S. A. Archfield, & Richard M. Vogel. (2017). On the probability distribution of daily streamflow in the United States. Hydrology and earth system sciences. 21(6). 3093–3103. 74 indexed citations
13.
Blum, A, Richard M. Vogel, & S. A. Archfield. (2016). The probability distribution of daily streamflow in theconterminous United States. 3 indexed citations
14.
Hirsch, Robert M., S. A. Archfield, & Laura A. De Cicco. (2015). A bootstrap method for estimating uncertainty of water quality trends. Environmental Modelling & Software. 73. 148–166. 165 indexed citations
15.
Archfield, S. A., Martyn Clark, Berit Arheimer, et al.. (2015). Accelerating advances in continental domain hydrologic modeling. Water Resources Research. 51(12). 10078–10091. 122 indexed citations
16.
Archfield, S. A., Robert M. Hirsch, Alberto Viglione, & Günter Blöschl. (2014). Using a peaks-over-threshold approach to assess changes in flood magnitude, volume, duration, and frequency across the United States. EGU General Assembly Conference Abstracts. 16557. 1 indexed citations
17.
Thompson, J.C., S. A. Archfield, Jonathan G. Kennen, & Julie E. Kiang. (2013). EflowStats: An R package to compute ecologically-relevant streamflow statistics. AGU Fall Meeting Abstracts. 2013. 3 indexed citations
18.
Archfield, S. A., et al.. (2013). Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?. Hydrology and earth system sciences. 17(4). 1575–1588. 48 indexed citations
19.
Archfield, S. A., Peter A. Steeves, John D. Guthrie, & Kernell G. Ries. (2012). A web-based software tool to estimate unregulated daily streamflow at ungauged rivers. 4 indexed citations
20.
Archfield, S. A., Richard M. Vogel, Thorsten Wagener, & Riddhi Singh. (2009). Rainfall-runoff model calibration at an ungauged catchment using the map-correlation method. EGUGA. 2009. 6063. 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.

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