Kiel L. Ortega

1.2k total citations
19 papers, 876 citations indexed

About

Kiel L. Ortega is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Kiel L. Ortega has authored 19 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atmospheric Science, 13 papers in Global and Planetary Change and 4 papers in Environmental Engineering. Recurrent topics in Kiel L. Ortega's work include Meteorological Phenomena and Simulations (15 papers), Climate variability and models (8 papers) and Precipitation Measurement and Analysis (8 papers). Kiel L. Ortega is often cited by papers focused on Meteorological Phenomena and Simulations (15 papers), Climate variability and models (8 papers) and Precipitation Measurement and Analysis (8 papers). Kiel L. Ortega collaborates with scholars based in United States, China and Germany. Kiel L. Ortega's co-authors include Travis M. Smith, Valliappa Lakshmanan, Harold E. Brooks, John L. Cintineo, Kevin L. Manross, Darrel M. Kingfield, Kristin M. Calhoun, Jonathan J. Gourley, John Krause and Alexander V. Ryzhkov and has published in prestigious journals such as Journal of Hydrology, Reviews of Geophysics and Bulletin of the American Meteorological Society.

In The Last Decade

Kiel L. Ortega

17 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kiel L. Ortega United States 11 763 692 122 49 36 19 876
Kevin Kelleher United States 6 756 1.0× 548 0.8× 186 1.5× 27 0.6× 57 1.6× 10 833
Stephen Burt United Kingdom 13 376 0.5× 405 0.6× 55 0.5× 36 0.7× 37 1.0× 86 659
Patrick T. Marsh United States 16 1.0k 1.3× 1.0k 1.5× 201 1.6× 34 0.7× 14 0.4× 26 1.2k
Matthew J. Bunkers United States 14 806 1.1× 767 1.1× 149 1.2× 49 1.0× 14 0.4× 36 964
Neil P. Lareau United States 16 620 0.8× 747 1.1× 165 1.4× 23 0.5× 8 0.2× 35 877
William B. Norris United States 14 659 0.9× 706 1.0× 155 1.3× 43 0.9× 18 0.5× 21 891
Brian Kaney United States 13 1.1k 1.5× 707 1.0× 354 2.9× 34 0.7× 148 4.1× 16 1.3k
M. Higgins United States 9 576 0.8× 516 0.7× 112 0.9× 33 0.7× 44 1.2× 11 745
Zaizhong Ma United States 14 826 1.1× 666 1.0× 77 0.6× 52 1.1× 21 0.6× 21 910
Jørn Kristiansen Norway 8 330 0.4× 273 0.4× 68 0.6× 37 0.8× 13 0.4× 17 442

Countries citing papers authored by Kiel L. Ortega

Since Specialization
Citations

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

Fields of papers citing papers by Kiel L. Ortega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kiel L. Ortega. 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 Kiel L. Ortega. The network helps show where Kiel L. Ortega may publish in the future.

Co-authorship network of co-authors of Kiel L. Ortega

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

All Works

19 of 19 papers shown
1.
Ortega, Kiel L.. (2021). Evaluating Multi-Radar, Multi-Sensor Products for Surface Hailfall Diagnosis. 13(1). 1–36. 30 indexed citations
2.
Ortega, Kiel L., et al.. (2021). Comprehensive Radar Data for the Contiguous United States: Multi-Year Reanalysis of Remotely Sensed Storms. Bulletin of the American Meteorological Society. 103(3). E838–E854. 4 indexed citations
3.
Elmore, Kimberly L., et al.. (2019). Estimates of Gradients in Radar Moments Using a Linear Least Squares Derivative Technique. Weather and Forecasting. 34(2). 415–434. 27 indexed citations
4.
Allen, John T., Ian M. Giammanco, Matthew R. Kumjian, et al.. (2019). Understanding Hail in the Earth System. Reviews of Geophysics. 58(1). 111 indexed citations
5.
Ortega, Kiel L.. (2018). Severe Weather Algorithm Development and Improvement Activities for the WSR-88D at NSSL/CIMMS Under the ROC Tech Transfer MOU. 1 indexed citations
6.
Smith, Travis M., Valliappa Lakshmanan, Gregory J. Stumpf, et al.. (2016). Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities. Bulletin of the American Meteorological Society. 97(9). 1617–1630. 193 indexed citations
7.
Ortega, Kiel L., John Krause, & Alexander V. Ryzhkov. (2016). Polarimetric Radar Characteristics of Melting Hail. Part III: Validation of the Algorithm for Hail Size Discrimination. Journal of Applied Meteorology and Climatology. 55(4). 829–848. 56 indexed citations
8.
Ortega, Kiel L.. (2015). The Multi-Year Reanalysis of Remotely Sensed Storms (MYRORSS): Data Processing and Severe Weather Projects. 3 indexed citations
9.
Karstens, Christopher D., Chen Ling, Darrel M. Kingfield, et al.. (2015). Evaluation of a Probabilistic Forecasting Methodology for Severe Convective Weather in the 2014 Hazardous Weather Testbed. Weather and Forecasting. 30(6). 1551–1570. 54 indexed citations
10.
Schuur, Terry J., Alexander V. Ryzhkov, Heather D. Reeves, et al.. (2014). Recent modifications to a new surface-based polarimetric Hydrometeor Classification Algorithm for the WSR-88D network. 1 indexed citations
11.
Burgess, Donald W., et al.. (2014). 20 May 2013 Moore, Oklahoma, Tornado: Damage Survey and Analysis. Weather and Forecasting. 29(5). 1229–1237. 66 indexed citations
12.
Schultz, Elise V., Themis Chronis, Kiel L. Ortega, et al.. (2014). Enhanced Verification of the Lightning Jump Algorithm. 1 indexed citations
13.
Qi, Yujin, Kenneth W. Howard, Brian Kaney, et al.. (2013). Retrospective Analysis of High-Resolution Multi-Radar Multi-Sensor QPEs for the Unites States. AGUFM. 2013.
14.
Ortega, Kiel L.. (2013). Evaluating a Hail Size Discrimination Algorithm for dual-polarized WSR-88Ds using high-resolution reports and forecaster feedback. 1 indexed citations
15.
Smith, Travis M., Jidong Gao, Kristin M. Calhoun, et al.. (2013). Examination of a Real-Time 3DVAR Analysis System in the Hazardous Weather Testbed. Weather and Forecasting. 29(1). 63–77. 11 indexed citations
16.
Ortega, Kiel L.. (2012). The Multi-Year Reanalysis of Remotely Sensed Storms (MYRORSS) Project. 5 indexed citations
17.
Cintineo, John L., Travis M. Smith, Valliappa Lakshmanan, Harold E. Brooks, & Kiel L. Ortega. (2012). An Objective High-Resolution Hail Climatology of the Contiguous United States. Weather and Forecasting. 27(5). 1235–1248. 174 indexed citations
18.
Gourley, Jonathan J., Jessica M. Erlingis, Travis M. Smith, Kiel L. Ortega, & Yang Hong. (2010). Remote collection and analysis of witness reports on flash floods. Journal of Hydrology. 394(1-2). 53–62. 29 indexed citations
19.
Ortega, Kiel L., et al.. (2009). THE SEVERE HAZARDS ANALYSIS AND VERIFICATION EXPERIMENT. Bulletin of the American Meteorological Society. 90(10). 1519–1530. 109 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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