Peter Kalverla

415 total citations
10 papers, 210 citations indexed

About

Peter Kalverla is a scholar working on Atmospheric Science, Aerospace Engineering and Environmental Engineering. According to data from OpenAlex, Peter Kalverla has authored 10 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 5 papers in Aerospace Engineering and 4 papers in Environmental Engineering. Recurrent topics in Peter Kalverla's work include Meteorological Phenomena and Simulations (8 papers), Wind Energy Research and Development (5 papers) and Wind and Air Flow Studies (4 papers). Peter Kalverla is often cited by papers focused on Meteorological Phenomena and Simulations (8 papers), Wind Energy Research and Development (5 papers) and Wind and Air Flow Studies (4 papers). Peter Kalverla collaborates with scholars based in Netherlands and France. Peter Kalverla's co-authors include Gert‐Jan Steeneveld, A.A.M. Holtslag, R.J. Ronda, James B. Duncan, Thierry Hedde, Simon Watson, Roland Schmehl, Yifat Dzigan, Eric Hutton and Ruud van der Ent and has published in prestigious journals such as Quarterly Journal of the Royal Meteorological Society, Journal of Wind Engineering and Industrial Aerodynamics and Geoscientific model development.

In The Last Decade

Peter Kalverla

9 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Kalverla Netherlands	6	144	105	96	64	37	10	210
Rochelle P. Worsnop United States	8	174 1.2×	116 1.1×	27 0.3×	78 1.2×	44 1.2×	15	236
Bjarke Tobias Olsen Denmark	7	217 1.5×	134 1.3×	169 1.8×	117 1.8×	39 1.1×	13	354
Tija Sīle Latvia	6	184 1.3×	105 1.0×	153 1.6×	91 1.4×	46 1.2×	15	303
Brian Vanderwende United States	5	112 0.8×	79 0.8×	151 1.6×	157 2.5×	10 0.3×	10	259
Rudolf Hankers Germany	5	104 0.7×	43 0.4×	173 1.8×	142 2.2×	42 1.1×	8	242
Guillaume Lea Denmark	6	100 0.7×	63 0.6×	134 1.4×	179 2.8×	31 0.8×	8	238
Frédéric Cazenave France	9	277 1.9×	147 1.4×	72 0.8×	117 1.8×	13 0.4×	19	325
Scott Swerdlin United States	7	326 2.3×	268 2.6×	43 0.4×	113 1.8×	18 0.5×	14	373
Francesc Junyent United States	9	315 2.2×	114 1.1×	47 0.5×	141 2.2×	24 0.6×	27	354
Jacob R. Carley United States	13	451 3.1×	412 3.9×	49 0.5×	130 2.0×	17 0.5×	30	498

Countries citing papers authored by Peter Kalverla

Since Specialization

Citations

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

Fields of papers citing papers by Peter Kalverla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Kalverla

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

All Works

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10 of 10 papers shown

Kalverla, Peter, et al.. (2025). Atmospheric moisture tracking with WAM2layers v3. Geoscientific model development. 18(14). 4335–4352.

Kalverla, Peter, et al.. (2020). Clustering wind profile shapes to estimate airborne wind energy production. Wind energy science. 5(3). 1097–1120. 17 indexed citations

Kalverla, Peter, A.A.M. Holtslag, R.J. Ronda, & Gert‐Jan Steeneveld. (2020). Quality of wind characteristics in recent wind atlases over the North Sea. Quarterly Journal of the Royal Meteorological Society. 146(728). 1498–1515. 40 indexed citations

Andela, Bouwe, Nick van de Giesen, Gijs van den Oord, et al.. (2020). ESMValTool pre-processing functions for eWaterCycle. 1 indexed citations

Kalverla, Peter, A.A.M. Holtslag, R.J. Ronda, & Gert‐Jan Steeneveld. (2020). Quality of wind characteristics in recent wind atlases over the North Sea. 1 indexed citations

Drost, Niels, Rolf Hut, Nick van de Giesen, et al.. (2020). Coupling Hydrological models using BMI in eWaterCycle. 1 indexed citations

Kalverla, Peter, James B. Duncan, Gert‐Jan Steeneveld, & A.A.M. Holtslag. (2019). Low-level jets over the North Sea based on ERA5 and observations: together they do better. Wind energy science. 4(2). 193–209. 64 indexed citations

Kalverla, Peter, Gert‐Jan Steeneveld, R.J. Ronda, & A.A.M. Holtslag. (2018). Evaluation of three mainstream numerical weather prediction models with observations from meteorological mast IJmuiden at the North Sea. Wind Energy. 22(1). 34–48. 19 indexed citations

Kalverla, Peter, Gert‐Jan Steeneveld, R.J. Ronda, & A.A.M. Holtslag. (2017). An observational climatology of anomalous wind events at offshore meteomast IJmuiden (North Sea). Journal of Wind Engineering and Industrial Aerodynamics. 165. 86–99. 37 indexed citations

10.

Kalverla, Peter, et al.. (2016). Evaluation of the Weather Research and Forecasting Model in the Durance Valley Complex Terrain during the KASCADE Field Campaign. Journal of Applied Meteorology and Climatology. 55(4). 861–882. 30 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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