David P. Baumhefner

1.5k total citations
40 papers, 1.1k citations indexed

About

David P. Baumhefner is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, David P. Baumhefner has authored 40 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Atmospheric Science, 33 papers in Global and Planetary Change and 9 papers in Oceanography. Recurrent topics in David P. Baumhefner's work include Meteorological Phenomena and Simulations (34 papers), Climate variability and models (31 papers) and Atmospheric and Environmental Gas Dynamics (11 papers). David P. Baumhefner is often cited by papers focused on Meteorological Phenomena and Simulations (34 papers), Climate variability and models (31 papers) and Atmospheric and Environmental Gas Dynamics (11 papers). David P. Baumhefner collaborates with scholars based in United States, United Kingdom and Germany. David P. Baumhefner's co-authors include Joseph Tribbia, Steven L. Mullen, Ronald M. Errico, Donald J. Perkey, Stephen J. Colucci, D. A. Paolino, J. G. Anderson, J. Shukla, Eugenia Kalnay and Čedo Branković and has published in prestigious journals such as Journal of the Atmospheric Sciences, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

David P. Baumhefner

39 papers receiving 959 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David P. Baumhefner United States 17 960 957 182 99 28 40 1.1k
Thomas Schlatter United States 17 836 0.9× 691 0.7× 114 0.6× 159 1.6× 13 0.5× 52 994
David C. Bader United States 15 831 0.9× 942 1.0× 171 0.9× 100 1.0× 88 3.1× 31 1.1k
Dennis G. Deaven United States 7 743 0.8× 696 0.7× 113 0.6× 126 1.3× 48 1.7× 9 877
J.‐F. Geleyn France 17 765 0.8× 697 0.7× 120 0.7× 133 1.3× 15 0.5× 28 861
Han‐Ru Cho Canada 18 815 0.8× 698 0.7× 134 0.7× 47 0.5× 13 0.5× 55 896
Mozheng Wei United States 9 831 0.9× 811 0.8× 112 0.6× 189 1.9× 72 2.6× 18 960
Hsiao-Ming Hsu United States 11 602 0.6× 565 0.6× 201 1.1× 71 0.7× 10 0.4× 19 722
Shu-Chih Yang Taiwan 14 575 0.6× 511 0.5× 158 0.9× 84 0.8× 16 0.6× 22 657
Francesco Uboldi Italy 14 346 0.4× 330 0.3× 115 0.6× 52 0.5× 21 0.8× 29 454
Jan‐Huey Chen United States 17 1.2k 1.3× 1.1k 1.2× 406 2.2× 45 0.5× 17 0.6× 35 1.3k

Countries citing papers authored by David P. Baumhefner

Since Specialization
Citations

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

Fields of papers citing papers by David P. Baumhefner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David P. Baumhefner. 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 David P. Baumhefner. The network helps show where David P. Baumhefner may publish in the future.

Co-authorship network of co-authors of David P. Baumhefner

This figure shows the co-authorship network connecting the top 25 collaborators of David P. Baumhefner. A scholar is included among the top collaborators of David P. Baumhefner 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 David P. Baumhefner. David P. Baumhefner 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.
Shukla, J., L. Marx, D. A. Paolino, et al.. (2000). Dynamical Seasonal Prediction. Bulletin of the American Meteorological Society. 81(11). 2593–2606. 254 indexed citations
2.
Sanders, Frederick, Steven L. Mullen, & David P. Baumhefner. (2000). Ensemble Simulations of Explosive Cyclogenesis at Ranges of 2–5 Days. Monthly Weather Review. 128(8). 2920–2934. 13 indexed citations
3.
Colucci, Stephen J., David P. Baumhefner, & Charles E. Konrad. (1999). Numerical Prediction of a Cold-Air Outbreak: A Case Study with Ensemble Forecasts. Monthly Weather Review. 127(7). 1538–1550. 10 indexed citations
4.
Colucci, Stephen J. & David P. Baumhefner. (1998). Numerical Prediction of the Onset of Blocking: A Case Study with Forecast Ensembles. Monthly Weather Review. 126(3). 773–784. 23 indexed citations
5.
Mullen, Steven L. & David P. Baumhefner. (1994). Monte Carlo Simulations of Explosive Cyclogenesis. Monthly Weather Review. 122(7). 1548–1567. 40 indexed citations
6.
Colucci, Stephen J. & David P. Baumhefner. (1992). Initial Weather Regimes as Predictors of Numerical 30-Day Mean Forecast Accuracy. Journal of the Atmospheric Sciences. 49(17). 1652–1671. 13 indexed citations
7.
Tribbia, Joseph & David P. Baumhefner. (1988). Estimates of the Predictability of Low-Frequency Variability with a Spectral General Circulation Model. Journal of the Atmospheric Sciences. 45(16). 2306–2318. 26 indexed citations
8.
Tribbia, Joseph & David P. Baumhefner. (1988). The Reliability of Improvements in Deterministic Short-Range Forecasts in the Presence of Initial State and Modeling Deficiencies. Monthly Weather Review. 116(11). 2276–2288. 51 indexed citations
9.
Errico, Ronald M. & David P. Baumhefner. (1987). Predictability Experiments Using a High-Resolution Limited-Area Model. Monthly Weather Review. 115(2). 488–504. 109 indexed citations
10.
Baumhefner, David P.. (1983). The relationship between present large-scale forecast skill and new estimates of predictability error growth. AIP conference proceedings. 106. 169–180. 11 indexed citations
11.
Bettge, Thomas W. & David P. Baumhefner. (1981). On the Verification of Seasonal Climate Forecasts. Bulletin of the American Meteorological Society. 62(12). 1654–1654. 8 indexed citations
12.
Bettge, Thomas W. & David P. Baumhefner. (1980). A Method to Decompose the Spatial Characteristics of Meteorological Variables within a Limited Domain. Monthly Weather Review. 108(7). 843–854. 8 indexed citations
13.
Baumhefner, David P. & Patrick Downey. (1978). Forecast Intercomparisons from Three Numerical Weather Prediction Models. Monthly Weather Review. 106(9). 1245–1279. 11 indexed citations
14.
Otto‐Bliesner, Bette L., David P. Baumhefner, Thomas Schlatter, & Rainer Bleck. (1977). A Comparison of Several Meteorological Analysis Schemes over a Data-Rich Region. Monthly Weather Review. 105(9). 1083–1091. 6 indexed citations
15.
Baumhefner, David P. & Paul Julian. (1975). The Initial Structure and Resulting Error Growth in the NCAR GCM Produced by Simulated, Remotely Sensed Temperature Profiles. Monthly Weather Review. 103(4). 273–284.
16.
Baumhefner, David P. & Paul Julian. (1972). The Reference-Level Problem: Its Location and Use in Numerical Weather Predictions. Journal of the Atmospheric Sciences. 29(2). 285–299. 3 indexed citations
17.
Baumhefner, David P.. (1972). Further Experimentation with an Imposed Southern Boundary for Large-Scale Numerical Weather Prediction. Journal of the Atmospheric Sciences. 29(4). 768–772. 7 indexed citations
18.
Baumhefner, David P.. (1971). On the Effects of an Imposed Southern Boundary on Numerical Weather Prediction in the Northern Hemisphere. Journal of the Atmospheric Sciences. 28(1). 42–54. 15 indexed citations
19.
Baumhefner, David P.. (1970). GLOBAL REAL-DATA FORECASTS WITH THE NCAR TWO-LAYER GENERAL CIRCULATION MODEL. Monthly Weather Review. 98(2). 92–99. 9 indexed citations
20.
Krishnamurti, T. N. & David P. Baumhefner. (1966). Structure of a Tropical Disturbance Based on Solutions of a Multilevel Baroclinic Model. Journal of applied meteorology. 5(4). 396–406. 19 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026