Donald C. Norquist

889 total citations · 1 hit paper
18 papers, 734 citations indexed

About

Donald C. Norquist is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, Donald C. Norquist has authored 18 papers receiving a total of 734 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 5 papers in Oceanography. Recurrent topics in Donald C. Norquist's work include Meteorological Phenomena and Simulations (11 papers), Climate variability and models (8 papers) and Atmospheric aerosols and clouds (6 papers). Donald C. Norquist is often cited by papers focused on Meteorological Phenomena and Simulations (11 papers), Climate variability and models (8 papers) and Atmospheric aerosols and clouds (6 papers). Donald C. Norquist collaborates with scholars based in United States. Donald C. Norquist's co-authors include Richard J. Reed, Ernest E. Recker, Sam Chang, Thomas Nehrkorn, Michael Ek, Ross N. Hoffman, Christopher Grassotti, Ronald G. Isaacs, Jean‐François Louis and Chi Yang and has published in prestigious journals such as Monthly Weather Review, Solar Physics and Journal of Applied Meteorology and Climatology.

In The Last Decade

Donald C. Norquist

15 papers receiving 682 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 Structure and Properties of African Wave Disturbances as Observed During Phase III of GATE

1977 461 citations Richard J. Reed, Donald C. Norquist et al. Monthly Weather Review profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Donald C. Norquist United States	7	656	639	250	38	21	18	734
Ernest E. Recker United States	8	1.3k 2.0×	1.3k 2.0×	460 1.8×	21 0.6×	24 1.1×	8	1.4k
Isamu Yagai Japan	5	389 0.6×	390 0.6×	51 0.2×	65 1.7×	10 0.5×	7	480
Thomas G. Corsetti United States	4	722 1.1×	733 1.1×	137 0.5×	23 0.6×	13 0.6×	5	790
Jinjie Song China	13	464 0.7×	415 0.6×	264 1.1×	17 0.4×	14 0.7×	43	508
Masanori Yoshizaki Japan	18	725 1.1×	664 1.0×	174 0.7×	36 0.9×	14 0.7×	56	819
Hans Økland Norway	8	430 0.7×	426 0.7×	144 0.6×	11 0.3×	6 0.3×	22	484
Ruth Geen United Kingdom	9	307 0.5×	280 0.4×	100 0.4×	28 0.7×	11 0.5×	20	361
Maria Gehne United States	13	510 0.8×	543 0.8×	156 0.6×	24 0.6×	6 0.3×	24	613
Stephen E. Pazan United States	14	359 0.5×	554 0.9×	603 2.4×	5 0.1×	18 0.9×	18	711
Michiko Masutani United States	12	784 1.2×	788 1.2×	237 0.9×	18 0.5×	11 0.5×	19	889

Countries citing papers authored by Donald C. Norquist

Since Specialization

Citations

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

Fields of papers citing papers by Donald C. Norquist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donald C. Norquist

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

All Works

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18 of 18 papers shown

Norquist, Donald C.. (2012). Forecast performance assessment of a kinematic and a magnetohydrodynamic solar wind model. Space Weather. 11(1). 17–33. 9 indexed citations

Norquist, Donald C.. (2010). An Analysis of the Sunspot Groups and Flares of Solar Cycle 23. Solar Physics. 269(1). 111–127. 8 indexed citations

Norquist, Donald C., et al.. (2010). A comparative verification of forecasts from two operational solar wind models. Space Weather. 8(12). n/a–n/a. 15 indexed citations

Norquist, Donald C., et al.. (2008). A Characterization of Cirrus Cloud Properties That Affect Laser Propagation. Journal of Applied Meteorology and Climatology. 47(5). 1322–1336. 2 indexed citations

Norquist, Donald C. & Robert P. d’Entremont. (2003). Analysis and Prediction of Cirrus-Top Altitude and Ice Water Path in a Mesoscale Area. Journal of Applied Meteorology. 42(8). 1092–1106. 2 indexed citations

Norquist, Donald C.. (2000). Cloud Predictions Diagnosed from Global Weather Model Forecasts. Monthly Weather Review. 128(10). 3538–3555. 2 indexed citations

Norquist, Donald C.. (1999). Cloud Predictions Diagnosed from Mesoscale Weather Model Forecasts. Monthly Weather Review. 127(10). 2465–2483. 6 indexed citations

Chang, Sam, et al.. (1999). Validation Study of the CAPS Model Land Surface Scheme Using the 1987 Cabauw/PILPS Dataset. Journal of Applied Meteorology. 38(4). 405–422. 29 indexed citations

Norquist, Donald C. & Sam Chang. (1994). Diagnosis and Correction of Systematic Humidity Error in a Global Numerical Weather Prediction Model. Monthly Weather Review. 122(11). 2442–2460. 6 indexed citations

10.

Norquist, Donald C., et al.. (1992). Phillips Laboratory Global Spectral Numerical Weather Prediction Model. Defense Technical Information Center (DTIC). 1 indexed citations

11.

Norquist, Donald C. & Chi Yang. (1992). Comparing Model-produced Convective Cloudiness with Observations. Monthly Weather Review. 120(5). 770–786. 1 indexed citations

12.

Hoffman, Ross N., Christopher Grassotti, Ronald G. Isaacs, et al.. (1990). Assessment of the Impact of Simulated Satellite Lidar Wind and Retrieved 183 GHz Water Vapor Observations on a Global Data Assimilation System. Monthly Weather Review. 118(12). 2513–2542. 27 indexed citations

13.

Hoffman, Ross N., et al.. (1989). Observing System Experiments Using the AFGL Four-Dimensional Data Assimilation System. Monthly Weather Review. 117(10). 2186–2203. 4 indexed citations

14.

Norquist, Donald C.. (1988). Alternative Forms of Humidity Information in Global Data Assimilation. Monthly Weather Review. 116(2). 452–471. 5 indexed citations

15.

Norquist, Donald C.. (1986). Alternative forms of moisture information in 4-D data assimilation. Defense Technical Information Center (DTIC). 2 indexed citations

16.

Norquist, Donald C.. (1984). Users Guide for Optimum Interpolation Method of Global Data Assimilation,. Defense Technical Information Center (DTIC).

17.

Reed, Richard J., Donald C. Norquist, & Ernest E. Recker. (1977). The Structure and Properties of African Wave Disturbances as Observed During Phase III of GATE. Monthly Weather Review. 105(3). 317–333. 461 indexed citations breakdown →

18.

Norquist, Donald C., Ernest E. Recker, & Richard J. Reed. (1977). The Energetics of African Wave Disturbances as observed During Phase III of GATE. Monthly Weather Review. 105(3). 334–342. 154 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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