Boris Kargoll

22 papers receiving 353 citations

Peers

Boris Kargoll
Comparison fields: 5 of 61
  • Geology 138
  • Environmental Engineering 137
  • Civil and Structural Engineering 126
  • Statistics and Probability 35
  • Applied Mathematics 34
Replace Federico Cluni with:
Federico Cluni Italy
Xijiang Chen China
Peixing Zhang China
Siyuan Chen China
Bernhard P. Wrobel Germany
Jongseong Choi United States
Wuyong Tao China
Yuchao Zheng China
Sagar Deshpande India
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Citations per field
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Citations per year

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-authors

The 14 scholars most cited alongside Boris Kargoll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Boris Kargoll Line = papers co-authored together Boris Kargoll links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201879
2 201740
3 202027
4 201824
5 201724
6 201823
7 201922
8 202015
9 201915
10 201314
11 201511
12 201711
13
Refinement of the stochastic model of GOCE scientific data and its effect on the in-situ gravity field solution
20109
14 20199
15 20198
16 20206
17
Refinement of the Stochastic Model of GOCE Scientific Data in a Long Time Series
20115
18 20205
19 20195
20 20201

About Boris Kargoll

Boris Kargoll is a scholar working on Geology, Environmental Engineering, Statistics and Probability, Computer Vision and Pattern Recognition and Applied Mathematics, having authored 22 papers that have together received 355 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (9 papers), Remote Sensing and LiDAR Applications (8 papers), Advanced Statistical Methods and Models (6 papers), Statistical and numerical algorithms (5 papers), Optical measurement and interference techniques (5 papers), Structural Health Monitoring Techniques (3 papers), Forecasting Techniques and Applications (3 papers) and Infrastructure Maintenance and Monitoring (3 papers). The work is most often cited by research in Geology (138 citations), Environmental Engineering (137 citations), Civil and Structural Engineering (126 citations), Statistics and Probability (35 citations) and Applied Mathematics (34 citations). Boris Kargoll has collaborated with scholars based in Germany, China and United Kingdom. Frequent co-authors include Ingo Neumann, Xiangyang Xu, Hamza Alkhatib, Hao Yang, Gaël Kermarrec, Jens‐André Paffenholz, Karl-Rudolf Koch, Roland Pail, Jan Martin Brockmann and Steffen Marx. Their work appears in journals such as Journal of Applied Geodesy, Remote Sensing, Composite Structures, Journal of Geodesy and Acta Geodaetica et Geophysica.

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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