John Krause

638 total citations
14 papers, 481 citations indexed

About

John Krause is a scholar working on Atmospheric Science, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, John Krause has authored 14 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Atmospheric Science, 6 papers in Environmental Engineering and 4 papers in Global and Planetary Change. Recurrent topics in John Krause's work include Meteorological Phenomena and Simulations (10 papers), Precipitation Measurement and Analysis (9 papers) and Soil Moisture and Remote Sensing (6 papers). John Krause is often cited by papers focused on Meteorological Phenomena and Simulations (10 papers), Precipitation Measurement and Analysis (9 papers) and Soil Moisture and Remote Sensing (6 papers). John Krause collaborates with scholars based in United States and Austria. John Krause's co-authors include Alexander V. Ryzhkov, Scott Giangrande, Valliappa Lakshmanan, Lin Tang, Christopher D. Karstens, Kiel L. Ortega, Alexander Ryzhkov, Terry J. Schuur, Kimberly L. Elmore and Heather D. Reeves and has published in prestigious journals such as Journal of Atmospheric and Oceanic Technology, Weather and Forecasting and Journal of Applied Meteorology and Climatology.

In The Last Decade

John Krause

14 papers receiving 467 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Krause United States 9 435 217 149 39 22 14 481
Andreas Giez Germany 11 427 1.0× 394 1.8× 111 0.7× 30 0.8× 37 1.7× 24 490
Malcolm Kitchen United Kingdom 9 408 0.9× 309 1.4× 114 0.8× 28 0.7× 23 1.0× 12 470
Renzo Bechini United States 12 422 1.0× 243 1.1× 180 1.2× 29 0.7× 19 0.9× 20 525
Zhengkun Qin China 15 696 1.6× 548 2.5× 89 0.6× 35 0.9× 18 0.8× 59 746
Yoshinari Ishido Japan 3 384 0.9× 131 0.6× 214 1.4× 48 1.2× 9 0.4× 13 460
Robert Bluth United States 9 416 1.0× 287 1.3× 109 0.7× 30 0.8× 16 0.7× 11 442
Steven C. Albers United States 7 335 0.8× 268 1.2× 73 0.5× 32 0.8× 9 0.4× 11 390
M. M. Schreier United States 12 425 1.0× 396 1.8× 51 0.3× 24 0.6× 19 0.9× 28 482
Ivan PopStefanija United States 9 327 0.8× 156 0.7× 132 0.9× 48 1.2× 17 0.8× 20 386
J. Grandell Finland 7 506 1.2× 163 0.8× 219 1.5× 36 0.9× 55 2.5× 27 591

Countries citing papers authored by John Krause

Since Specialization
Citations

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

Fields of papers citing papers by John Krause

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Krause

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

All Works

14 of 14 papers shown
1.
Krause, John, et al.. (2025). Reply to “Comments on ‘Identifying ZDR Columns in Radar Data with the Hotspot Technique’”. Weather and Forecasting. 40(4). 641–642. 1 indexed citations
2.
Krause, John, et al.. (2024). Investigating Hailstorm Updrafts and Nowcasting Hail Size Using a Novel Radar-Based Updraft Detection. Weather and Forecasting. 39(12). 1795–1815. 3 indexed citations
3.
Krause, John, et al.. (2024). Identifying ZDR Columns in Radar Data with the Hotspot Technique. Weather and Forecasting. 39(3). 581–595. 6 indexed citations
4.
Ryzhkov, Alexander & John Krause. (2022). New Polarimetric Radar Algorithm for Melting-Layer Detection and Determination of Its Height. Journal of Atmospheric and Oceanic Technology. 39(5). 529–543. 12 indexed citations
5.
Snyder, Jeffrey C., Alexander V. Ryzhkov, & John Krause. (2016). Identifying Polarimetric Radar Signatures Aloft Associated with Large and Giant Hail. 1 indexed citations
6.
Krause, John. (2016). A Simple Algorithm to Discriminate between Meteorological and Nonmeteorological Radar Echoes. Journal of Atmospheric and Oceanic Technology. 33(9). 1875–1885. 21 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.
Lakshmanan, Valliappa, et al.. (2015). Which Polarimetric Variables Are Important for Weather/No-Weather Discrimination?. Journal of Atmospheric and Oceanic Technology. 32(6). 1209–1223. 38 indexed citations
9.
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
10.
Reeves, Heather D., Kimberly L. Elmore, Alexander Ryzhkov, Terry J. Schuur, & John Krause. (2014). Sources of Uncertainty in Precipitation-Type Forecasting. Weather and Forecasting. 29(4). 936–953. 61 indexed citations
11.
Tang, Lin, Jian Zhang, Carrie Langston, et al.. (2014). A Physically Based Precipitation–Nonprecipitation Radar Echo Classifier Using Polarimetric and Environmental Data in a Real-Time National System. Weather and Forecasting. 29(5). 1106–1119. 49 indexed citations
12.
Lakshmanan, Valliappa, Christopher D. Karstens, John Krause, & Lin Tang. (2014). Quality Control of Weather Radar Data Using Polarimetric Variables. Journal of Atmospheric and Oceanic Technology. 31(6). 1234–1249. 50 indexed citations
13.
Giangrande, Scott, John Krause, & Alexander V. Ryzhkov. (2008). Automatic Designation of the Melting Layer with a Polarimetric Prototype of the WSR-88D Radar. Journal of Applied Meteorology and Climatology. 47(5). 1354–1364. 127 indexed citations
14.
Miller, D. J., Terry J. Schuur, Scott Giangrande, et al.. (2005). The Joint Polarization Experiment: Polarimetric Radar in Forecasting and Warning Decision Making. Weather and Forecasting. 20(5). 775–788. 55 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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