Bryan J. Putnam

486 total citations
8 papers, 265 citations indexed

About

Bryan J. Putnam is a scholar working on Atmospheric Science, Global and Planetary Change and Infectious Diseases. According to data from OpenAlex, Bryan J. Putnam has authored 8 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 8 papers in Global and Planetary Change and 0 papers in Infectious Diseases. Recurrent topics in Bryan J. Putnam's work include Meteorological Phenomena and Simulations (8 papers), Climate variability and models (8 papers) and Precipitation Measurement and Analysis (7 papers). Bryan J. Putnam is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Climate variability and models (8 papers) and Precipitation Measurement and Analysis (7 papers). Bryan J. Putnam collaborates with scholars based in United States and Tunisia. Bryan J. Putnam's co-authors include Ming Xue, Youngsun Jung, Nathan Snook, Guifu Zhang, Fanyou Kong, Jerald A. Brotzge, Timothy A. Supinie, Nusrat Yussouf and Patrick S. Skinner and has published in prestigious journals such as Monthly Weather Review and Weather and Forecasting.

In The Last Decade

Bryan J. Putnam

8 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan J. Putnam United States	8	264	232	25	6	5	8	265
G. J. R. Coetzee South Africa	9	230 0.9×	183 0.8×	18 0.7×	6 1.0×	3 0.6×	14	276
Debra E. Kollonige United States	8	177 0.7×	129 0.6×	37 1.5×	4 0.7×	4 0.8×	18	182
Christopher J. Melick United States	7	209 0.8×	207 0.9×	23 0.9×	20 3.3×	4 0.8×	10	220
David Duncan United Kingdom	10	231 0.9×	177 0.8×	23 0.9×	16 2.7×	12 2.4×	26	243
Edward Charlesworth Germany	7	151 0.6×	103 0.4×	47 1.9×	4 0.7×	4 0.8×	10	178
Yann Poltera Switzerland	6	139 0.5×	142 0.6×	23 0.9×	4 0.7×	3 0.6×	8	154
Νικόλαος Σιώμος Greece	9	156 0.6×	157 0.7×	18 0.7×	5 0.8×	5 1.0×	26	175
H. Kelder Netherlands	10	294 1.1×	260 1.1×	9 0.4×	10 1.7×	6 1.2×	15	307
Robin Ekelund Sweden	7	207 0.8×	150 0.6×	12 0.5×	4 0.7×	15 3.0×	9	219
Cathryn Fox United Kingdom	11	283 1.1×	254 1.1×	24 1.0×	2 0.3×	14 2.8×	16	298

Countries citing papers authored by Bryan J. Putnam

Since Specialization

Citations

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

Fields of papers citing papers by Bryan J. Putnam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan J. Putnam. 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 Bryan J. Putnam. The network helps show where Bryan J. Putnam may publish in the future.

Co-authorship network of co-authors of Bryan J. Putnam

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

All Works

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8 of 8 papers shown

Putnam, Bryan J., et al.. (2021). The Impact of Assimilating ZDR Observations on Storm-Scale Ensemble Forecasts of the 31 May 2013 Oklahoma Storm Event. Monthly Weather Review. 9 indexed citations

Yussouf, Nusrat, Youngsun Jung, Timothy A. Supinie, et al.. (2019). Optimal Temporal Frequency of NSSL Phased Array Radar Observations for an Experimental Warn-on-Forecast System. Weather and Forecasting. 35(1). 193–214. 20 indexed citations

Putnam, Bryan J., Ming Xue, Youngsun Jung, Nathan Snook, & Guifu Zhang. (2019). Ensemble Kalman Filter Assimilation of Polarimetric Radar Observations for the 20 May 2013 Oklahoma Tornadic Supercell Case. Monthly Weather Review. 147(7). 2511–2533. 28 indexed citations

Putnam, Bryan J., Ming Xue, Youngsun Jung, Nathan Snook, & Guifu Zhang. (2017). Ensemble Probabilistic Prediction of a Mesoscale Convective System and Associated Polarimetric Radar Variables Using Single-Moment and Double-Moment Microphysics Schemes and EnKF Radar Data Assimilation. Monthly Weather Review. 145(6). 2257–2279. 23 indexed citations

Snook, Nathan, et al.. (2017). Ensemble Hail Prediction for the Storms of 10 May 2010 in South-Central Oklahoma Using Single- and Double-Moment Microphysical Schemes. Monthly Weather Review. 145(12). 4911–4936. 22 indexed citations

Putnam, Bryan J., Ming Xue, Youngsun Jung, Guifu Zhang, & Fanyou Kong. (2016). Simulation of Polarimetric Radar Variables from 2013 CAPS Spring Experiment Storm-Scale Ensemble Forecasts and Evaluation of Microphysics Schemes. Monthly Weather Review. 145(1). 49–73. 48 indexed citations

Snook, Nathan, Youngsun Jung, Jerald A. Brotzge, Bryan J. Putnam, & Ming Xue. (2016). Prediction and Ensemble Forecast Verification of Hail in the Supercell Storms of 20 May 2013. Weather and Forecasting. 31(3). 811–825. 49 indexed citations

Putnam, Bryan J., Ming Xue, Youngsun Jung, Nathan Snook, & Guifu Zhang. (2013). The Analysis and Prediction of Microphysical States and Polarimetric Radar Variables in a Mesoscale Convective System Using Double-Moment Microphysics, Multinetwork Radar Data, and the Ensemble Kalman Filter. Monthly Weather Review. 142(1). 141–162. 66 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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