Robert Duchnowski

521 total citations
40 papers, 446 citations indexed

About

Robert Duchnowski is a scholar working on Statistics and Probability, Applied Mathematics and Environmental Engineering. According to data from OpenAlex, Robert Duchnowski has authored 40 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 18 papers in Applied Mathematics and 16 papers in Environmental Engineering. Recurrent topics in Robert Duchnowski's work include Advanced Statistical Methods and Models (19 papers), Statistical and numerical algorithms (18 papers) and GNSS positioning and interference (11 papers). Robert Duchnowski is often cited by papers focused on Advanced Statistical Methods and Models (19 papers), Statistical and numerical algorithms (18 papers) and GNSS positioning and interference (11 papers). Robert Duchnowski collaborates with scholars based in Poland and China. Robert Duchnowski's co-authors include Z. Wiśniewski, Wioleta Błaszczak-Bąk and Czesław Suchocki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.

In The Last Decade

Robert Duchnowski

37 papers receiving 437 citations

Peers

Robert Duchnowski
Robert Duchnowski
Citations per year, relative to Robert Duchnowski Robert Duchnowski (= 1×) peers Şerif Hekimoğlu

Countries citing papers authored by Robert Duchnowski

Since Specialization
Citations

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

Fields of papers citing papers by Robert Duchnowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Duchnowski

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Duchnowski. A scholar is included among the top collaborators of Robert Duchnowski 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 Robert Duchnowski. Robert Duchnowski 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
2.
Duchnowski, Robert, et al.. (2024). Robust procedures in processing measurements in geodesy and surveying: a review. Measurement Science and Technology. 35(5). 52002–52002. 4 indexed citations
3.
4.
Duchnowski, Robert, et al.. (2022). Absolute M split estimation as an alternative for robust M-estimation. 17–17. 1 indexed citations
5.
Duchnowski, Robert, et al.. (2022). Processing TLS heterogeneous data by applying robust Msplit estimation. Measurement. 197. 111298–111298. 12 indexed citations
6.
Duchnowski, Robert, et al.. (2022). Msplit Estimation Approach to Modeling Vertical Terrain Displacement from TLS Data Disturbed by Outliers. Remote Sensing. 14(21). 5620–5620. 6 indexed citations
7.
Duchnowski, Robert, et al.. (2021). Empirical influence functions and their non-standard applications. Journal of Applied Geodesy. 16(1). 9–23. 6 indexed citations
8.
Duchnowski, Robert & Z. Wiśniewski. (2020). Robustness of squared Msplit(q) estimation: Empirical analyses. Studia Geophysica et Geodaetica. 64(2). 153–171. 12 indexed citations
9.
Duchnowski, Robert, et al.. (2020). Testing normality of chosen R-estimates used in deformation analysis. Journal of Geodetic Science. 10(1). 7–13.
10.
Błaszczak-Bąk, Wioleta, et al.. (2020). Automatic Threat Detection for Historic Buildings in Dark Places Based on the Modified OptD Method. ISPRS International Journal of Geo-Information. 9(2). 123–123. 17 indexed citations
11.
Duchnowski, Robert, et al.. (2020). Iterative Process of Msplit(q) Estimation. Journal of Surveying Engineering. 146(3). 17 indexed citations
12.
Duchnowski, Robert, et al.. (2020). Systematic bias of selected estimates applied in vertical displacement analysis. Journal of Geodetic Science. 10(1). 41–47. 7 indexed citations
13.
Duchnowski, Robert, et al.. (2020). Performance of Msplit estimates in the context of vertical displacement analysis. Journal of Applied Geodesy. 14(2). 149–158. 11 indexed citations
14.
Duchnowski, Robert & Z. Wiśniewski. (2019). Robustness of Msplit(q) estimation: A theoretical approach. Studia Geophysica et Geodaetica. 63(3). 390–417. 16 indexed citations
15.
Duchnowski, Robert, et al.. (2017). Subjective Breakdown Points of R-estimators Applied in Deformation Analysis. 6 indexed citations
16.
Duchnowski, Robert & Z. Wiśniewski. (2017). Msplit and MP estimation. A wider range of robustness. 8 indexed citations
17.
Duchnowski, Robert & Z. Wiśniewski. (2011). Estimation of the Shift between Parameters of Functional Models of Geodetic Observations by Applying Msplit Estimation. Journal of Surveying Engineering. 138(1). 1–8. 42 indexed citations
18.
Duchnowski, Robert. (2006). The effect of random and systematic errors in gravity data on geoid undulations caIculated using FFT. 55(3). 133–146. 2 indexed citations
19.
Duchnowski, Robert & Z. Wiśniewski. (2006). Attenuation matrix in robust, free adjustment. 299–305. 2 indexed citations
20.
Duchnowski, Robert. (2000). Robust estimation of variance coefficient (VR-estimation) for dependent observations. 131–143. 2 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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