Sándor Kabos

410 total citations
12 papers, 286 citations indexed

About

Sándor Kabos is a scholar working on Environmental Engineering, Artificial Intelligence and Plant Science. According to data from OpenAlex, Sándor Kabos has authored 12 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Environmental Engineering, 3 papers in Artificial Intelligence and 3 papers in Plant Science. Recurrent topics in Sándor Kabos's work include Soil Geostatistics and Mapping (7 papers), Soil Moisture and Remote Sensing (4 papers) and Geochemistry and Geologic Mapping (3 papers). Sándor Kabos is often cited by papers focused on Soil Geostatistics and Mapping (7 papers), Soil Moisture and Remote Sensing (4 papers) and Geochemistry and Geologic Mapping (3 papers). Sándor Kabos collaborates with scholars based in Hungary, Canada and United States. Sándor Kabos's co-authors include Ferenc Csillag, Kálmán Rajkai, Martinus Th. van Genuchten, Per‐Erik Jansson, Imre Cseresnyés, Eszter Vozáry, Tünde Takács, Tarmo K. Remmel, László Pásztor and L. Kuti and has published in prestigious journals such as Plant and Soil, International Journal of Remote Sensing and Soil Science.

In The Last Decade

Sándor Kabos

11 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sándor Kabos Hungary 7 148 114 75 66 63 12 286
E. Levine United States 9 127 0.9× 27 0.2× 123 1.6× 36 0.5× 100 1.6× 17 300
K. Killian United Kingdom 5 93 0.6× 30 0.3× 70 0.9× 230 3.5× 72 1.1× 6 316
József Szabó Hungary 11 167 1.1× 52 0.5× 54 0.7× 153 2.3× 47 0.7× 34 345
Robert Heinse United States 12 78 0.5× 130 1.1× 71 0.9× 74 1.1× 44 0.7× 42 327
Zhenxing Bian China 10 110 0.7× 17 0.1× 83 1.1× 108 1.6× 99 1.6× 34 295
Sebastian Rudolph Germany 8 220 1.5× 56 0.5× 37 0.5× 88 1.3× 90 1.4× 12 442
Raíza Moniz Faria Brazil 4 191 1.3× 21 0.2× 49 0.7× 175 2.7× 91 1.4× 5 346
Tobias L. Hohenbrink Germany 11 115 0.8× 114 1.0× 50 0.7× 46 0.7× 38 0.6× 16 265
Emmanuelle Garrigues France 5 139 0.9× 137 1.2× 126 1.7× 233 3.5× 67 1.1× 7 543
Maria Fantappiè Italy 8 245 1.7× 39 0.3× 65 0.9× 240 3.6× 125 2.0× 23 435

Countries citing papers authored by Sándor Kabos

Since Specialization
Citations

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

Fields of papers citing papers by Sándor Kabos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sándor Kabos

This figure shows the co-authorship network connecting the top 25 collaborators of Sándor Kabos. A scholar is included among the top collaborators of Sándor Kabos 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 Sándor Kabos. Sándor Kabos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Cseresnyés, Imre, Eszter Vozáry, Sándor Kabos, & Kálmán Rajkai. (2020). Influence of substrate type and properties on root electrical capacitance. International Agrophysics. 1(34). 95–101. 6 indexed citations
3.
Cseresnyés, Imre, et al.. (2017). An improved formula for evaluating electrical capacitance using the dissipation factor. Plant and Soil. 419(1-2). 237–256. 11 indexed citations
4.
Bakacs, Márta, et al.. (2008). Analysis of associations between mortality and biological and social-economic individual determinants. Orvosi Hetilap. 149(50). 2371–2376.
5.
Csillag, Ferenc, Sándor Kabos, & Tarmo K. Remmel. (2007). A spatial clustering perspective on autocorrelation and regionalization. Environmental and Ecological Statistics. 15(4). 385–401. 3 indexed citations
6.
Csillag, Ferenc, Sándor Kabos, & Tarmo K. Remmel. (2006). Confidence in coincidence. International Journal of Remote Sensing. 27(6). 1269–1276. 5 indexed citations
7.
Rajkai, Kálmán, Sándor Kabos, & Martinus Th. van Genuchten. (2004). Estimating the water retention curve from soil properties: comparison of linear, nonlinear and concomitant variable methods. Soil and Tillage Research. 79(2). 145–152. 72 indexed citations
8.
Kabos, Sándor & Ferenc Csillag. (2002). The analysis of spatial association on a regular lattice by join-count statistics without the assumption of first-order homogeneity. Computers & Geosciences. 28(8). 901–910. 19 indexed citations
9.
Csillag, Ferenc & Sándor Kabos. (2002). Wavelets, boundaries, and the spatial analysis of landscape pattern. Ecoscience. 9(2). 177–190. 76 indexed citations
10.
Tóth, Tibor, László Pásztor, Sándor Kabos, & L. Kuti. (2002). Statistical Prediction of the Presence of Salt-Affected Soils by Using Digitalized Hydrogeological Maps. Arid Land Research and Management. 16(1). 55–68. 7 indexed citations
11.
Rajkai, Kálmán, Sándor Kabos, Martinus Th. van Genuchten, & Per‐Erik Jansson. (1996). ESTIMATION OF WATER-RETENTION CHARACTERISTICS FROM THE BULK DENSITY AND PARTICLE-SIZE DISTRIBUTION OF SWEDISH SOILS. Soil Science. 161(12). 832–845. 61 indexed citations
12.
Csillag, Ferenc & Sándor Kabos. (1996). Hierarchical decomposition of variance with applications in environmental mapping based on satellite images. Mathematical Geology. 28(4). 385–405. 21 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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