Kees Kok

414 total citations
10 papers, 296 citations indexed

About

Kees Kok is a scholar working on Global and Planetary Change, Atmospheric Science and Environmental Engineering. According to data from OpenAlex, Kees Kok has authored 10 papers receiving a total of 296 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Global and Planetary Change, 7 papers in Atmospheric Science and 2 papers in Environmental Engineering. Recurrent topics in Kees Kok's work include Meteorological Phenomena and Simulations (7 papers), Climate variability and models (6 papers) and Precipitation Measurement and Analysis (3 papers). Kees Kok is often cited by papers focused on Meteorological Phenomena and Simulations (7 papers), Climate variability and models (6 papers) and Precipitation Measurement and Analysis (3 papers). Kees Kok collaborates with scholars based in Netherlands, Finland and Switzerland. Kees Kok's co-authors include Maurice Schmeits, Wim C. de Rooy, Daan Vogelezang, Massimiliano Zappa, Michael Bruen, Bertel Vehviläinen, Peter Krähé, Emmanuel Roulin, Andrea Rossa and Alan Seed and has published in prestigious journals such as Monthly Weather Review, Weather and Forecasting and Atmospheric Science Letters.

In The Last Decade

Kees Kok

10 papers receiving 287 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kees Kok Netherlands	7	242	231	83	55	15	10	296
Aitor Atencia Spain	11	230 1.0×	226 1.0×	34 0.4×	50 0.9×	4 0.3×	25	301
Frédéric Cazenave France	9	147 0.6×	277 1.2×	45 0.5×	117 2.1×	72 4.8×	19	325
Anna Jurczyk Poland	8	118 0.5×	216 0.9×	42 0.5×	90 1.6×	15 1.0×	16	249
G. Galli Switzerland	7	265 1.1×	459 2.0×	87 1.0×	168 3.1×	10 0.7×	9	501
N. K. Awan Austria	4	364 1.5×	351 1.5×	32 0.4×	33 0.6×	5 0.3×	6	390
Shaorong Wu China	4	277 1.1×	349 1.5×	41 0.5×	52 0.9×	5 0.3×	9	393
M. Bolliger Switzerland	4	220 0.9×	340 1.5×	75 0.9×	113 2.1×	6 0.4×	8	379
Chong Wu China	9	294 1.2×	393 1.7×	12 0.1×	58 1.1×	18 1.2×	33	447
Scott Swerdlin United States	7	268 1.1×	326 1.4×	9 0.1×	113 2.1×	43 2.9×	14	373

Countries citing papers authored by Kees Kok

Since Specialization

Citations

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

Fields of papers citing papers by Kees Kok

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kees Kok

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

1.

Schmeits, Maurice, et al.. (2017). A Comparative Verification of High-Resolution Precipitation Forecasts Using Model Output Statistics. Monthly Weather Review. 145(10). 4037–4054. 15 indexed citations

2.

Kok, Kees, et al.. (2012). A quantitative evaluation of the high resolution HARMONIE model for critical weather phenomena. Advances in science and research. 8(1). 149–155. 4 indexed citations

3.

Bruen, Michael, Peter Krähé, Massimiliano Zappa, et al.. (2010). Visualizing flood forecasting uncertainty: some current European EPS platforms—COST731 working group 3. Atmospheric Science Letters. 11(2). 92–99. 34 indexed citations

4.

Zappa, Massimiliano, Keith Beven, Michael Bruen, et al.. (2010). Propagation of uncertainty from observing systems and NWP into hydrological models: COST‐731 Working Group 2. Atmospheric Science Letters. 11(2). 83–91. 72 indexed citations

5.

Schmeits, Maurice & Kees Kok. (2010). A Comparison between Raw Ensemble Output, (Modified) Bayesian Model Averaging, and Extended Logistic Regression Using ECMWF Ensemble Precipitation Reforecasts. Monthly Weather Review. 138(11). 4199–4211. 72 indexed citations

6.

Schmeits, Maurice, et al.. (2008). Probabilistic Forecasts of (Severe) Thunderstorms for the Purpose of Issuing a Weather Alarm in the Netherlands. Weather and Forecasting. 23(6). 1253–1267. 19 indexed citations

7.

Kok, Kees, et al.. (2008). Valuing information from mesoscale forecasts. Meteorological Applications. 15(1). 103–111. 4 indexed citations

8.

Schmeits, Maurice, et al.. (2007). Kansverwachtingen voor onweer ten behoeve van uitgifte Weeralarm (KOUW). 1 indexed citations

9.

Schmeits, Maurice, Kees Kok, & Daan Vogelezang. (2005). Probabilistic Forecasting of (Severe) Thunderstorms in the Netherlands Using Model Output Statistics. Weather and Forecasting. 20(2). 134–148. 29 indexed citations

10.

Rooy, Wim C. de & Kees Kok. (2004). A Combined Physical–Statistical Approach for the Downscaling of Model Wind Speed. Weather and Forecasting. 19(3). 485–495. 46 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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