Boris Kargoll

543 total citations
22 papers, 355 citations indexed

About

Boris Kargoll is a scholar working on Geology, Environmental Engineering and Statistics and Probability. According to data from OpenAlex, Boris Kargoll has authored 22 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Geology, 8 papers in Environmental Engineering and 6 papers in Statistics and Probability. Recurrent topics in Boris Kargoll's work include 3D Surveying and Cultural Heritage (9 papers), Remote Sensing and LiDAR Applications (8 papers) and Advanced Statistical Methods and Models (6 papers). Boris Kargoll is often cited by papers focused on 3D Surveying and Cultural Heritage (9 papers), Remote Sensing and LiDAR Applications (8 papers) and Advanced Statistical Methods and Models (6 papers). Boris Kargoll collaborates with scholars based in Germany, China and United Kingdom. Boris Kargoll's co-authors include Ingo Neumann, Xiangyang Xu, Hamza Alkhatib, Hao Yang, Gaël Kermarrec, Jens‐André Paffenholz, Karl-Rudolf Koch, Wolf‐Dieter Schuh, Jan Martin Brockmann and Steffen Marx and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing and Composite Structures.

In The Last Decade

Boris Kargoll

22 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boris Kargoll Germany 12 138 137 126 66 47 22 355
Federico Cluni Italy 14 60 0.4× 83 0.6× 360 2.9× 24 0.4× 217 4.6× 39 604
Xijiang Chen China 12 201 1.5× 181 1.3× 59 0.5× 140 2.1× 10 0.2× 43 422
Siyuan Chen China 9 98 0.7× 53 0.4× 123 1.0× 69 1.0× 19 0.4× 41 406
Yuchao Zheng China 10 70 0.5× 80 0.6× 116 0.9× 94 1.4× 51 1.1× 34 382
Jongseong Choi United States 11 73 0.5× 34 0.2× 150 1.2× 48 0.7× 14 0.3× 31 367
Peixing Zhang China 10 47 0.3× 15 0.1× 88 0.7× 19 0.3× 81 1.7× 30 445
Zhenxin Zhang China 11 82 0.6× 99 0.7× 41 0.3× 82 1.2× 14 0.3× 29 306
Wuyong Tao China 11 213 1.5× 169 1.2× 15 0.1× 113 1.7× 3 0.1× 32 359
Chunxiao Wang China 8 37 0.3× 69 0.5× 34 0.3× 33 0.5× 38 0.8× 32 282

Countries citing papers authored by Boris Kargoll

Since Specialization
Citations

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

Fields of papers citing papers by Boris Kargoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boris Kargoll

This figure shows the co-authorship network connecting the top 25 collaborators of Boris Kargoll. A scholar is included among the top collaborators of Boris Kargoll 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 Boris Kargoll. Boris Kargoll 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.
Kargoll, Boris, et al.. (2021). Adjustment models for multivariate geodetic time series with vector-autoregressive errors. Journal of Applied Geodesy. 15(3). 243–267. 1 indexed citations
2.
Kargoll, Boris, et al.. (2021). Bayesian Robust Multivariate Time Series Analysis in Nonlinear Models with Autoregressive and t-Distributed Errors. MDPI (MDPI AG). 20–20. 1 indexed citations
3.
Kargoll, Boris, et al.. (2020). Self-tuning robust adjustment within multivariate regression time series models with vector-autoregressive random errors. Journal of Geodesy. 94(5). 6 indexed citations
4.
Kermarrec, Gaël, Boris Kargoll, & Hamza Alkhatib. (2020). On the impact of correlations on the congruence test: a bootstrap approach. Acta Geodaetica et Geophysica. 55(3). 495–513. 5 indexed citations
5.
Kermarrec, Gaël, Boris Kargoll, & Hamza Alkhatib. (2020). Deformation Analysis Using B-Spline Surface with Correlated Terrestrial Laser Scanner Observations—A Bridge Under Load. Remote Sensing. 12(5). 829–829. 27 indexed citations
6.
Kargoll, Boris, et al.. (2020). A validated robust and automatic procedure for vibration analysis of bridge structures using MEMS accelerometers. Journal of Applied Geodesy. 14(3). 327–354. 15 indexed citations
7.
Kermarrec, Gaël, Boris Kargoll, & Hamza Alkhatib. (2020). Correction to: On the impact of correlations on the congruence test: a bootstrap approach. Acta Geodaetica et Geophysica. 55(4). 717–717. 1 indexed citations
8.
Kargoll, Boris, et al.. (2019). Robust external calibration of terrestrial laser scanner and digital camera for structural monitoring. Journal of Applied Geodesy. 13(2). 105–134. 8 indexed citations
9.
Xu, Xiangyang, Hao Yang, & Boris Kargoll. (2019). Robust and automatic modeling of tunnel structures based on terrestrial laser scanning measurement. International Journal of Distributed Sensor Networks. 15(11). 812341256–812341256. 22 indexed citations
10.
Kermarrec, Gaël, et al.. (2019). Influence of the simplified stochastic model of TLS measurements on geometry-based deformation analysis. Journal of Applied Geodesy. 13(3). 199–214. 15 indexed citations
11.
Neumann, Ingo, et al.. (2019). MEMS BASED BRIDGE MONITORING SUPPORTED BY IMAGE-ASSISTED TOTAL STATION. SHILAP Revista de lepidopterología. XLII-4/W18. 833–842. 5 indexed citations
12.
Alkhatib, Hamza, et al.. (2019). Ellipsoidal and Gaussian Kalman Filter Model for Discrete-Time Nonlinear Systems. Mathematics. 7(12). 1168–1168. 9 indexed citations
13.
Kargoll, Boris, et al.. (2018). Model Selection for Parametric Surfaces Approximating 3D Point Clouds for Deformation Analysis. Remote Sensing. 10(4). 634–634. 24 indexed citations
14.
Yang, Hao, Xiangyang Xu, Boris Kargoll, & Ingo Neumann. (2018). An automatic and intelligent optimal surface modeling method for composite tunnel structures. Composite Structures. 208. 702–710. 79 indexed citations
15.
Alkhatib, Hamza, et al.. (2017). Statistical evaluation of the influence of the uncertainty budget on B-spline curve approximation. Journal of Applied Geodesy. 11(4). 215–230. 11 indexed citations
17.
Koch, Karl-Rudolf & Boris Kargoll. (2015). Outlier detection by the EM algorithm for laser scanning in rectangular and polar coordinate systems. Journal of Applied Geodesy. 9(3). 11 indexed citations
18.
Koch, Karl-Rudolf & Boris Kargoll. (2013). Expectation maximization algorithm for the variance-inflation model by applying the t-distribution. Journal of Applied Geodesy. 7(3). 14 indexed citations
19.
Krasbutter, Ina, Jan Martin Brockmann, Boris Kargoll, et al.. (2011). Refinement of the Stochastic Model of GOCE Scientific Data in a Long Time Series. 696. 15. 5 indexed citations
20.
Schuh, Wolf‐Dieter, Jan Martin Brockmann, Boris Kargoll, Ina Krasbutter, & Roland Pail. (2010). Refinement of the stochastic model of GOCE scientific data and its effect on the in-situ gravity field solution. mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich). 686. 65. 9 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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