Brian C. Ancell

1.1k total citations · 1 hit paper
32 papers, 807 citations indexed

About

Brian C. Ancell is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Brian C. Ancell has authored 32 papers receiving a total of 807 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Global and Planetary Change, 27 papers in Atmospheric Science and 14 papers in Environmental Engineering. Recurrent topics in Brian C. Ancell's work include Meteorological Phenomena and Simulations (27 papers), Climate variability and models (25 papers) and Wind and Air Flow Studies (14 papers). Brian C. Ancell is often cited by papers focused on Meteorological Phenomena and Simulations (27 papers), Climate variability and models (25 papers) and Wind and Air Flow Studies (14 papers). Brian C. Ancell collaborates with scholars based in United States, Hong Kong and Canada. Brian C. Ancell's co-authors include Gregory J. Hakim, Shuo Wang, Zong‐Liang Yang, Yamin Qing, Clifford F. Mass, Guohe Huang, Brian W. Baetz, Christopher C. Weiss, Lynn A. McMurdie and Nicholas H. Smith and has published in prestigious journals such as Nature Communications, Water Resources Research and Journal of Hydrology.

In The Last Decade

Brian C. Ancell

30 papers receiving 792 citations

Hit Papers

align trajectories

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.

Accelerating flash droughts induced by the joint influence of soil moisture depletion and atmospheric aridity

2022 150 citations Yamin Qing, Shuo Wang et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian C. Ancell United States	15	684	551	176	101	33	32	807
William M. Lapenta United States	12	638 0.9×	602 1.1×	101 0.6×	99 1.0×	52 1.6×	32	749
Stefano Mariani Italy	12	425 0.6×	411 0.7×	83 0.5×	70 0.7×	65 2.0×	29	612
Alexander Kann Austria	12	402 0.6×	455 0.8×	137 0.8×	71 0.7×	20 0.6×	40	611
Everette Joseph United States	21	925 1.4×	1.1k 1.9×	180 1.0×	43 0.4×	37 1.1×	45	1.2k
Michel Desgagné Canada	11	552 0.8×	645 1.2×	120 0.7×	86 0.9×	71 2.2×	15	851
Silke Trömel Germany	17	503 0.7×	739 1.3×	204 1.2×	61 0.6×	32 1.0×	53	860
Péter Domonkos Spain	15	703 1.0×	464 0.8×	101 0.6×	52 0.5×	55 1.7×	44	809
Catherine Meurey France	10	394 0.6×	271 0.5×	240 1.4×	75 0.7×	24 0.7×	16	570
Sue Ballard United Kingdom	11	856 1.3×	951 1.7×	159 0.9×	40 0.4×	75 2.3×	14	1.0k
M. Casaioli Italy	12	418 0.6×	425 0.8×	71 0.4×	57 0.6×	64 1.9×	26	581

Countries citing papers authored by Brian C. Ancell

Since Specialization

Citations

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

Fields of papers citing papers by Brian C. Ancell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian C. Ancell. 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 Brian C. Ancell. The network helps show where Brian C. Ancell may publish in the future.

Co-authorship network of co-authors of Brian C. Ancell

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

All Works

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20 of 20 papers shown

Ancell, Brian C., et al.. (2023). Preliminary Use of Convection-allowing Models in Fire Weather. NOAA Institutional Repository. 72–81. 3 indexed citations

Qing, Yamin, Shuo Wang, Brian C. Ancell, & Zong‐Liang Yang. (2022). Accelerating flash droughts induced by the joint influence of soil moisture depletion and atmospheric aridity. Nature Communications. 13(1). 1139–1139. 150 indexed citations breakdown →

Ancell, Brian C., et al.. (2022). Initial Condition Convection-Allowing Ensembles with Large Membership for Probabilistic Prediction of Convective Hazards. Monthly Weather Review. 151(3). 689–715. 1 indexed citations

Wang, Shuo, Brian C. Ancell, Zong‐Liang Yang, Qingyun Duan, & Emmanouil N. Anagnostou. (2022). Hydroclimatic extremes and impacts in a changing environment: Observations, mechanisms, and projections. Journal of Hydrology. 608. 127615–127615. 10 indexed citations

Ancell, Brian C., et al.. (2021). New Perspectives on Ensemble Sensitivity Analysis with Applications to a Climatology of Severe Convection. Bulletin of the American Meteorological Society. 103(2). E511–E530. 8 indexed citations

Smith, Nicholas H. & Brian C. Ancell. (2019). Variations in Parametric Sensitivity for Wind Ramp Events in the Columbia River Basin. Monthly Weather Review. 147(12). 4633–4651. 5 indexed citations

Wang, Shuo, Brian C. Ancell, Guohe Huang, & Brian W. Baetz. (2018). Improving Robustness of Hydrologic Ensemble Predictions Through Probabilistic Pre‐ and Post‐Processing in Sequential Data Assimilation. Water Resources Research. 54(3). 2129–2151. 49 indexed citations

Bruning, Eric C., et al.. (2018). Variations of Thunderstorm Charge Structures in West Texas on 4 June 2012. Journal of Geophysical Research Atmospheres. 123(17). 9502–9523. 16 indexed citations

Smith, Nicholas H. & Brian C. Ancell. (2017). Ensemble Sensitivity Analysis of Wind Ramp Events with Applications to Observation Targeting. Monthly Weather Review. 145(7). 2505–2522. 8 indexed citations

10.

Wang, Shuo, Guohe Huang, Brian W. Baetz, et al.. (2017). Examining dynamic interactions among experimental factors influencing hydrologic data assimilation with the ensemble Kalman filter. Journal of Hydrology. 554. 743–757. 18 indexed citations

11.

Ancell, Brian C., et al.. (2017). Seeding Chaos: The Dire Consequences of Numerical Noise in NWP Perturbation Experiments. Bulletin of the American Meteorological Society. 99(3). 615–628. 46 indexed citations

12.

Ancell, Brian C.. (2016). Improving High-Impact Forecasts through Sensitivity-Based Ensemble Subsets: Demonstration and Initial Tests. Weather and Forecasting. 31(3). 1019–1036. 13 indexed citations

13.

Ancell, Brian C., et al.. (2015). Ensemble Mean Storm-Scale Performance in the Presence of Nonlinearity. Monthly Weather Review. 143(12). 5115–5133. 6 indexed citations

14.

Ancell, Brian C., et al.. (2015). Evaluation of Wind Forecasts and Observation Impacts from Variational and Ensemble Data Assimilation for Wind Energy Applications. Monthly Weather Review. 143(8). 3230–3245. 14 indexed citations

15.

Ancell, Brian C., et al.. (2014). Comparison of Surface Wind and Temperature Analyses from an Ensemble Kalman Filter and the NWS Real-Time Mesoscale Analysis System. Weather and Forecasting. 29(4). 1058–1075. 10 indexed citations

16.

McMurdie, Lynn A. & Brian C. Ancell. (2013). Predictability Characteristics of Landfalling Cyclones along the North American West Coast. Monthly Weather Review. 142(1). 301–319. 17 indexed citations

17.

Ancell, Brian C.. (2013). Nonlinear Characteristics of Ensemble Perturbation Evolution and Their Application to Forecasting High-Impact Events. Weather and Forecasting. 28(6). 1353–1365. 31 indexed citations

18.

Wilczak, J. M., John W. Zack, John L. Schroeder, et al.. (2012). The Wind Forecasting Improvement Project: Description and Results from the Southern Study Region. 1 indexed citations

19.

Ancell, Brian C., Clifford F. Mass, & Gregory J. Hakim. (2011). Evaluation of Surface Analyses and Forecasts with a Multiscale Ensemble Kalman Filter in Regions of Complex Terrain. Monthly Weather Review. 139(6). 2008–2024. 27 indexed citations

20.

Ancell, Brian C. & Gregory J. Hakim. (2007). Interpreting adjoint and ensemble sensitivity toward the development of optimal observation targeting strategies. Meteorologische Zeitschrift. 16(6). 635–642. 3 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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