This map shows the geographic impact of W. Kosek'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 W. Kosek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. Kosek more than expected).
This network shows the impact of papers produced by W. Kosek. 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 W. Kosek. The network helps show where W. Kosek may publish in the future.
Co-authorship network of co-authors of W. Kosek
This figure shows the co-authorship network connecting the top 25 collaborators of W. Kosek.
A scholar is included among the top collaborators of W. Kosek 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 W. Kosek. W. Kosek is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Kosek, W., et al.. (2016). Combined geocenter motion model from the SLR, GNSS and GRACE observations. 18.
2.
Luzum, Brian, et al.. (2013). Earth Orientation Parameters Combination of Prediction Pilot Project. AGU Fall Meeting Abstracts. 2013.6 indexed citations
Niedzielski, Tomasz & W. Kosek. (2010). El Niño's Impact on the Probability Distribution of Sea Level Anomaly Fields. Polish Journal of Environmental Studies. 19(3). 611–620.7 indexed citations
5.
Kosek, W., et al.. (2008). Forecasting of the Earth orientation parameters - comparison of different algorithms. 155.26 indexed citations
6.
Kosek, W., et al.. (2008). The causes of the prediction errors of the x, y pole coordinates data. AGUFM. 2008.
7.
Niedzielski, Tomasz & W. Kosek. (2008). A Required Data Span to Detect Sea Level Rise. TransNav the International Journal on Marine Navigation and Safety of Sea Transportation. 2(2).3 indexed citations
8.
Kosek, W., et al.. (2007). Current Results of the Earth Orientation Parameters Prediction Comparison Campaign. AGUFM. 2007. 159.4 indexed citations
9.
Krankowski, Andrzej, et al.. (2006). Wavelet analysis in TEC measurements obtained using dual-frequency space and satellite techniques. 290.1 indexed citations
10.
Dam, Tien, et al.. (2006). IERS Working Group on Prediction Plans and Activities. AGUFM. 2006.3 indexed citations
11.
Kosek, W., et al.. (2005). A comparison of LOD and UT1-UTC forecasts by different combined prediction techniques. 40(2). 119–125.18 indexed citations
12.
Kosek, W., et al.. (2005). A comparison of UT1-UTC forecasts by different prediction techniques. 27(7). 140–141.8 indexed citations
13.
Brzeziński, Aleksander & W. Kosek. (2004). Free core nutation: stochastic modelling versus predictability. 99–106.4 indexed citations
14.
Kosek, W., D. D. McCarthy, & Brian Luzum. (2003). Variations of annual oscillation parameters, El Niño and their influence on polar motion prediction errors. 13. 85–90.1 indexed citations
15.
Kołaczek, B. & W. Kosek. (1999). Variations of the amplitude of the Chandler wobble.. 215–220.2 indexed citations
16.
Kosek, W., et al.. (1999). COMPARISON BETWEEN SPECTRO-TEMPORAL ANALYSIS METHODS ON THE EARTH ROTATION PARAMETERS AND THEIR ATMOSPHERIC EXCITATION FUNCTIONS. 28. 81–84.1 indexed citations
17.
Kosek, W.. (1995). Time variable band pass filter spectra of real and complex-valued polar motion series.. 24. 27–43.33 indexed citations
18.
Kosek, W., et al.. (1994). Wavelet transform and its application for short period Earth rotation analysis.. 29(2). 75–86.10 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.