David Kitzmiller

1.9k total citations · 1 hit paper
41 papers, 1.3k citations indexed

About

David Kitzmiller is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, David Kitzmiller has authored 41 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Atmospheric Science, 16 papers in Environmental Engineering and 14 papers in Global and Planetary Change. Recurrent topics in David Kitzmiller's work include Precipitation Measurement and Analysis (34 papers), Meteorological Phenomena and Simulations (33 papers) and Soil Moisture and Remote Sensing (16 papers). David Kitzmiller is often cited by papers focused on Precipitation Measurement and Analysis (34 papers), Meteorological Phenomena and Simulations (33 papers) and Soil Moisture and Remote Sensing (16 papers). David Kitzmiller collaborates with scholars based in United States, Czechia and China. David Kitzmiller's co-authors include Kenneth W. Howard, Carrie Langston, Brian Kaney, Ami Arthur, Feng Ding, Dong-Jun Seo, Jian Zhang, Heather M. Grams, Youcun Qi and Stephen B. Cocks and has published in prestigious journals such as Journal of Hydrology, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

David Kitzmiller

39 papers receiving 1.3k 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.

Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities

2015 482 citations Jian Zhang, Kenneth W. Howard et al. Bulletin of the American Meteorological Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Kitzmiller United States	12	1.2k	786	375	238	40	41	1.3k
Carrie Langston United States	15	1.3k 1.1×	753 1.0×	436 1.2×	168 0.7×	34 0.8×	22	1.4k
Brian Kaney United States	13	1.1k 1.0×	707 0.9×	354 0.9×	148 0.6×	34 0.8×	16	1.3k
Ami Arthur United States	10	1.1k 0.9×	890 1.1×	327 0.9×	304 1.3×	30 0.8×	13	1.3k
Richard Fulton United States	12	1.1k 1.0×	685 0.9×	423 1.1×	234 1.0×	29 0.7×	19	1.3k
Brian C. Ancell United States	15	551 0.5×	684 0.9×	176 0.5×	101 0.4×	17 0.4×	32	807
Steven M. Martinaitis United States	11	732 0.6×	575 0.7×	208 0.6×	184 0.8×	12 0.3×	18	881
M. J. van den Berg Belgium	9	574 0.5×	780 1.0×	415 1.1×	351 1.5×	6 0.1×	10	1.1k
B. Doty United States	8	485 0.4×	476 0.6×	291 0.8×	260 1.1×	8 0.2×	11	820
Lothar Schüller Germany	13	852 0.7×	834 1.1×	126 0.3×	61 0.3×	16 0.4×	21	970

Countries citing papers authored by David Kitzmiller

Since Specialization

Citations

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

Fields of papers citing papers by David Kitzmiller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Kitzmiller

This figure shows the co-authorship network connecting the top 25 collaborators of David Kitzmiller. A scholar is included among the top collaborators of David Kitzmiller 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 Kitzmiller. David Kitzmiller 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

Kitzmiller, David, et al.. (2023). The Office of Water Prediction's Analysis of Record for Calibration, version 1.1: Dataset description and precipitation evaluation. JAWRA Journal of the American Water Resources Association. 59(6). 1246–1272. 27 indexed citations

Feng, Xiangyu, A. Rafieeinasab, David Kitzmiller, et al.. (2019). Calibrating the National Water Model V2.1 over the Contiguous United States. AGU Fall Meeting Abstracts. 2019. 2 indexed citations

Kitzmiller, David, et al.. (2018). The Analysis of Record for Calibration: A High-Resolution Precipitation and Surface Weather Dataset for the United States. AGU Fall Meeting Abstracts. 2018. 10 indexed citations

Zhang, Yu, et al.. (2018). Incorporating Satellite Precipitation Estimates into a Radar-Gauge Multi-Sensor Precipitation Estimation Algorithm. Remote Sensing. 10(1). 106–106. 10 indexed citations

Lee, Haksu, et al.. (2014). Utility of SCaMPR Satellite versus Ground-Based Quantitative Precipitation Estimates in Operational Flood Forecasting: The Effects of TRMM Data Ingest. Journal of Hydrometeorology. 15(3). 1051–1069. 10 indexed citations

Miller, Dennis, Shaorong Wu, & David Kitzmiller. (2013). Spatial and temporal resolution considerations in evaluating and utilizing radar quantitative precipitation estimates. 1(15). 168–184. 2 indexed citations

Kitzmiller, David. (2011). Development of a short-range probabilistic precipitation forecast algorithm based on radar and numerical prediction model input. 1 indexed citations

Zhang, Jian, Kenneth W. Howard, Carrie Langston, et al.. (2011). National Mosaic and Multi-sensor QPE (NMQ) System – Description, Results and Future Plans. Bulletin of the American Meteorological Society. 1847852169–1847852169. 5 indexed citations

Zhang, Yu, Seann Reed, & David Kitzmiller. (2010). Effects of Retrospective Gauge-Based Readjustment of Multisensor Precipitation Estimates on Hydrologic Simulations. Journal of Hydrometeorology. 12(3). 429–443. 24 indexed citations

10.

Sokol, Zbyněk, et al.. (2009). Operational 0–3 h probabilistic quantitative precipitation forecasts: Recent performance and potential enhancements. Atmospheric Research. 92(3). 318–330. 4 indexed citations

11.

Zhang, Yu, Seann Reed, David Kitzmiller, & Daniel Brewer. (2009). Gauge-Based Adjustment of Historical Multi-Sensor Quantitative Precipitation Fields and Resulting Effects on Hydrologic Simulations. World Environmental and Water Resources Congress 2009. 33. 1–12. 2 indexed citations

12.

Feng, Yerong & David Kitzmiller. (2006). A short-range quantitative precipitation forecast algorithm using back-propagation neural network approach. Advances in Atmospheric Sciences. 23(3). 405–414. 6 indexed citations

13.

Ding, Feng, et al.. (2005). Evaluation of the Range Correction Algorithm and Convective Stratiform Separation Algorithm for Improving Hydrological Modeling. 1 indexed citations

14.

Seo, Dong Jun, et al.. (2005). The National Mosaic and multisensor QPE (NMQ) Project - Status and plans for a community testbed for high-resolution multisensor quantitative precipitation estimation (QPE) over the United States. 9 indexed citations

15.

Krajewski, Witold F., Grzegorz J. Ciach, Roger Fulton, & David Kitzmiller. (2004). Towards Operational Probabilistic Quantitative Precipitation Estimation Using NEXRAD. AGU Spring Meeting Abstracts. 2004. 4 indexed citations

16.

Ding, Feng, Dong Jun Seo, & David Kitzmiller. (2004). Validation of range correction algorithm using real-time radar data from Sterling, VA. Bulletin of the American Meteorological Society. 3465–3470. 3 indexed citations

17.

Kitzmiller, David. (2001). Short-range forecasts of rainfall amount from an extrapolative-statistical technique utilizing multiple remote sensor observations. 3 indexed citations

18.

Kitzmiller, David. (1996). One-hour forecasts of radar-estimated rainfall by an extrapolative-statistical method. 4 indexed citations

19.

Kitzmiller, David, et al.. (1990). Wind Profiler Observations Preceding Outbreaks of Large Hail over Northeastern Colorado. Weather and Forecasting. 5(1). 78–88. 1 indexed citations

20.

Kitzmiller, David, et al.. (1989). VAS Retrievals as a Source of Information for Convective Weather Forecasts: An Objective Assessment and Comparison with Other Sources of Upper-Air Observations. Monthly Weather Review. 117(9). 2095–2110. 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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