Benjamin T. Blake

478 total citations · 1 hit paper
6 papers, 302 citations indexed

About

Benjamin T. Blake is a scholar working on Atmospheric Science, Global and Planetary Change and Infectious Diseases. According to data from OpenAlex, Benjamin T. Blake has authored 6 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Atmospheric Science, 6 papers in Global and Planetary Change and 0 papers in Infectious Diseases. Recurrent topics in Benjamin T. Blake's work include Meteorological Phenomena and Simulations (6 papers), Climate variability and models (6 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). Benjamin T. Blake is often cited by papers focused on Meteorological Phenomena and Simulations (6 papers), Climate variability and models (6 papers) and Atmospheric and Environmental Gas Dynamics (2 papers). Benjamin T. Blake collaborates with scholars based in United States. Benjamin T. Blake's co-authors include Trevor I. Alcott, Curtis R. Alexander, Eric James, Geoffrey S. Manikin, Joseph B. Olson, David C. Dowell, David D. Turner, Jaymes S. Kenyon, John M. Brown and Stanley G. Benjamin and has published in prestigious journals such as Monthly Weather Review, Weather and Forecasting and Journal of Advances in Modeling Earth Systems.

In The Last Decade

Benjamin T. Blake

5 papers receiving 297 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.

The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description

2022 226 citations David C. Dowell, Curtis R. Alexander et al. Weather and Forecasting profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Benjamin T. Blake United States	4	242	233	50	16	10	6	302
Josep Ramón Miró Spain	12	247 1.0×	199 0.9×	77 1.5×	10 0.6×	9 0.9×	17	292
Jeffrey D. Duda United States	8	439 1.8×	431 1.8×	81 1.6×	17 1.1×	9 0.9×	9	505
Syugo Hayashi Japan	14	362 1.5×	345 1.5×	58 1.2×	31 1.9×	15 1.5×	44	456
Vagner Anabor Brazil	11	251 1.0×	234 1.0×	98 2.0×	30 1.9×	13 1.3×	43	328
Ole Vignes Norway	6	211 0.9×	177 0.8×	51 1.0×	50 3.1×	18 1.8×	7	267
Leonhard Gantner Germany	12	305 1.3×	307 1.3×	83 1.7×	9 0.6×	10 1.0×	21	346
Chermelle Engel Australia	9	138 0.6×	182 0.8×	35 0.7×	20 1.3×	14 1.4×	12	256
Trygve Aspelien Norway	5	202 0.8×	152 0.7×	38 0.8×	48 3.0×	18 1.8×	7	253
Yu. S. Balin Russia	10	194 0.8×	244 1.0×	26 0.5×	9 0.6×	19 1.9×	61	271

Countries citing papers authored by Benjamin T. Blake

Since Specialization

Citations

This map shows the geographic impact of Benjamin T. Blake'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 Benjamin T. Blake with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin T. Blake more than expected).

Fields of papers citing papers by Benjamin T. Blake

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin T. Blake. 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 Benjamin T. Blake. The network helps show where Benjamin T. Blake may publish in the future.

Co-authorship network of co-authors of Benjamin T. Blake

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

All Works

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6 of 6 papers shown

1.

Johnson, Aaron, Xuguang Wang, Benjamin T. Blake, et al.. (2023). Verification and Model Configuration Sensitivity of Simulated ABI Radiance Forecasts With the FV3‐LAM Model. Earth and Space Science. 10(5). 3 indexed citations

2.

Dowell, David C., Curtis R. Alexander, Eric James, et al.. (2022). The High-Resolution Rapid Refresh (HRRR): An Hourly Updating Convection-Allowing Forecast Model. Part I: Motivation and System Description. Weather and Forecasting. 37(8). 1371–1395. 226 indexed citations breakdown →

3.

Black, Thomas L., Benjamin T. Blake, Eric Rogers, et al.. (2021). A Limited Area Modeling Capability for the Finite‐Volume Cubed‐Sphere (FV3) Dynamical Core and Comparison With a Global Two‐Way Nest. Journal of Advances in Modeling Earth Systems. 13(6). 25 indexed citations

4.

Carley, Jacob R., Benjamin T. Blake, Thomas L. Black, et al.. (2020). Advances Toward an Operational Convection-Allowing Ensemble Prediction System in the Unified Forecast System at NOAA.

5.

Blake, Benjamin T., et al.. (2018). An Adaptive Approach for the Calculation of Ensemble Gridpoint Probabilities. Weather and Forecasting. 33(4). 1063–1080. 13 indexed citations

6.

Blake, Benjamin T., et al.. (2017). The Structure, Evolution, and Dynamics of a Nocturnal Convective System Simulated Using the WRF-ARW Model. Monthly Weather Review. 145(8). 3179–3201. 35 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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