Klaudia Oleschko

898 total citations
50 papers, 662 citations indexed

About

Klaudia Oleschko is a scholar working on Environmental Engineering, Mathematical Physics and Civil and Structural Engineering. According to data from OpenAlex, Klaudia Oleschko has authored 50 papers receiving a total of 662 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 12 papers in Mathematical Physics and 11 papers in Civil and Structural Engineering. Recurrent topics in Klaudia Oleschko's work include advanced mathematical theories (12 papers), Soil and Unsaturated Flow (10 papers) and Landslides and related hazards (9 papers). Klaudia Oleschko is often cited by papers focused on advanced mathematical theories (12 papers), Soil and Unsaturated Flow (10 papers) and Landslides and related hazards (9 papers). Klaudia Oleschko collaborates with scholars based in Mexico, Sweden and Saudi Arabia. Klaudia Oleschko's co-authors include Andrei Khrennikov, Jean‐François Parrot, Eusebio Ventura-Ramos, Luis Hernández‐Sandoval, M. A. Nearing, Gábor Korvin, Andrei Yu. Khrennikov, Jorge D. Etchevers, Claudia Hidalgo and Adolfo Campos C. and has published in prestigious journals such as Physical Review Letters, Geoderma and Soil and Tillage Research.

In The Last Decade

Klaudia Oleschko

48 papers receiving 631 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaudia Oleschko Mexico 14 169 156 112 94 87 50 662
Rhys Whitley United States 17 120 0.7× 95 0.6× 90 0.8× 98 1.0× 30 0.3× 53 1.1k
Samuele De Bartolo Italy 15 28 0.2× 51 0.3× 230 2.1× 147 1.6× 22 0.3× 41 544
Xiaolong Hu China 16 16 0.1× 50 0.3× 350 3.1× 150 1.6× 89 1.0× 46 966
Adolfo Posadas Peru 18 10 0.1× 270 1.7× 237 2.1× 248 2.6× 8 0.1× 40 1.1k
I. G. Lisle Australia 12 16 0.1× 301 1.9× 175 1.6× 246 2.6× 18 0.2× 31 676
Zhonghua Yang China 20 9 0.1× 467 3.0× 115 1.0× 264 2.8× 37 0.4× 107 1.5k
Van Thinh Nguyen South Korea 15 119 0.7× 33 0.2× 85 0.8× 53 0.6× 30 0.3× 64 636
Ali Ercan United States 17 24 0.1× 62 0.4× 198 1.8× 79 0.8× 2 0.0× 68 771
Michele Barsanti Italy 16 6 0.0× 48 0.3× 59 0.5× 45 0.5× 8 0.1× 42 618
David L. Wright United States 18 28 0.2× 75 0.5× 59 0.5× 3 0.0× 9 0.1× 98 1.0k

Countries citing papers authored by Klaudia Oleschko

Since Specialization
Citations

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

Fields of papers citing papers by Klaudia Oleschko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaudia Oleschko

This figure shows the co-authorship network connecting the top 25 collaborators of Klaudia Oleschko. A scholar is included among the top collaborators of Klaudia Oleschko 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 Klaudia Oleschko. Klaudia Oleschko 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.
Khrennikov, Andrei & Klaudia Oleschko. (2020). An Ultrametric Random Walk Model for Disease Spread Taking into Account Social Clustering of the Population. Entropy. 22(9). 931–931. 10 indexed citations
2.
Khrennikov, Andrei, et al.. (2018). From axiomatics of quantum probability to modelling geological uncertainty and management of intelligent hydrocarbon reservoirs with the theory of open quantum systems. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 376(2118). 20170225–20170225. 3 indexed citations
3.
Korvin, Gábor, et al.. (2016). Computer simulation of microwave propagation in heterogeneous and fractal media. Computers & Geosciences. 100. 156–165. 4 indexed citations
4.
Khrennikov, Andrei, et al.. (2015). Application of p-Adic Wavelets to Model Reaction–Diffusion Dynamics in Random Porous Media. Journal of Fourier Analysis and Applications. 22(4). 809–822. 28 indexed citations
5.
C., Adolfo Campos, Jorge D. Etchevers, Klaudia Oleschko, & Claudia Hidalgo. (2012). SOIL MICROBIAL BIOMASS AND NITROGEN MINERALIZATION RATES ALONG AN ALTITUDINAL GRADIENT ON THE COFRE DE PEROTE VOLCANO (MEXICO): THE IMPORTANCE OF LANDSCAPE POSITION AND LAND USE. Land Degradation and Development. 25(6). 581–593. 40 indexed citations
6.
Oleschko, Klaudia, et al.. (2010). Fractal Metrology for biogeosystems analysis. Biogeosciences. 7(11). 3799–3815. 5 indexed citations
7.
Ventura-Ramos, Eusebio, et al.. (2009). Soil erosion and runoff in different vegetation patches from semiarid Central Mexico. CATENA. 80(3). 162–169. 127 indexed citations
8.
Oleschko, Klaudia, et al.. (2009). Land cover monitoring by fractal analysis of digital images. Geoderma. 160(1). 83–92. 8 indexed citations
9.
Oleschko, Klaudia, et al.. (2008). Fractal Image Informatics: from SEM to DEM. AIP conference proceedings. 1009. 74–93. 5 indexed citations
10.
Oleschko, Klaudia, et al.. (2008). Mapping soil fractal dimension in agricultural fields with GPR. Nonlinear processes in geophysics. 15(5). 711–725. 13 indexed citations
11.
Prol‐Ledesma, Rosa María, et al.. (2008). Geothermal Exploration Using Remote Sensing in the South of Baja California Sur, Mexico. AIP conference proceedings. 1009. 180–188. 4 indexed citations
12.
Oleschko, Klaudia, et al.. (2007). El color del Andosol como un indicador de su calidad física bajo el manejo. Terra Latinoamericana. 25(1). 1–8. 1 indexed citations
13.
Oleschko, Klaudia, et al.. (2006). Porosidad de los yacimientos naturalmente fracturados: una clasifi cación fractal. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 7 indexed citations
14.
Sandoval, Benjamín Figueroa, et al.. (2006). Efecto de la estructura del suelo sobre el desarrollo radical del maíz con dos sistemas de labranza. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 40(1). 27–38. 9 indexed citations
15.
Oleschko, Klaudia, et al.. (2003). Fractal radar scattering from soil. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 67(4). 41403–41403. 31 indexed citations
16.
Oleschko, Klaudia, et al.. (2002). Fractal Scattering of Microwaves from Soils. Physical Review Letters. 89(18). 188501–188501. 24 indexed citations
17.
Oleschko, Klaudia, et al.. (2001). Estimación de alófono y su relación con otros parámetrosquímicos en Andisoles de montaña del volcán Cofre dePerote. Terra Latinoamericana. 19(2). 105–116. 9 indexed citations
18.
Oleschko, Klaudia. (1998). From fractal analysis along a line to fractals on the plane. Soil and Tillage Research. 45(3-4). 389–406. 17 indexed citations
19.
Oleschko, Klaudia. (1996). Structure and pedofeatures of Guanajuato (Mexico) Vertisol under different cropping systems. Soil and Tillage Research. 37(1). 15–36. 5 indexed citations
20.
Quantin, Paul, et al.. (1993). Tepetates de Mexico : caracterizacion y habilitacion para la agricultura. 11. 6 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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