F. Mayol

485 total citations
10 papers, 350 citations indexed

About

F. Mayol is a scholar working on Soil Science, Civil and Structural Engineering and Ecology. According to data from OpenAlex, F. Mayol has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Soil Science, 2 papers in Civil and Structural Engineering and 2 papers in Ecology. Recurrent topics in F. Mayol's work include Soil erosion and sediment transport (5 papers), Irrigation Practices and Water Management (3 papers) and Soil and Land Suitability Analysis (2 papers). F. Mayol is often cited by papers focused on Soil erosion and sediment transport (5 papers), Irrigation Practices and Water Management (3 papers) and Soil and Land Suitability Analysis (2 papers). F. Mayol collaborates with scholars based in Spain, Germany and Hungary. F. Mayol's co-authors include Diego de la Rosa, Elvira Díaz‐Pereira, José Antonio Moreno-Muñoz, Sebastián Lozano, Rainer Horn, Ewa A. Czyż, Heiner Fleige, C. Simota, A.R. Dexter and E. Dumitru and has published in prestigious journals such as Agriculture Ecosystems & Environment, Soil and Tillage Research and Environmental Modelling & Software.

In The Last Decade

F. Mayol

10 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
F. Mayol Spain	8	162	154	82	75	57	10	350
T. W. Goddard Canada	8	242 1.5×	78 0.5×	68 0.8×	168 2.2×	76 1.3×	13	451
S.J.E. Verzandvoort Netherlands	9	118 0.7×	72 0.5×	121 1.5×	51 0.7×	40 0.7×	27	309
Sheilah C. Nolan Canada	5	214 1.3×	76 0.5×	56 0.7×	163 2.2×	76 1.3×	6	414
C. Pieri United States	6	132 0.8×	96 0.6×	85 1.0×	30 0.4×	42 0.7×	9	283
T. H. Podmore United States	10	157 1.0×	45 0.3×	43 0.5×	59 0.8×	68 1.2×	25	334
Y. G. Dialynas United States	10	153 0.9×	80 0.5×	135 1.6×	53 0.7×	87 1.5×	18	389
Nayan Ahmed India	9	138 0.9×	111 0.7×	41 0.5×	79 1.1×	37 0.6×	39	372
María Burguet Spain	9	226 1.4×	61 0.4×	165 2.0×	69 0.9×	142 2.5×	24	394
Jens Raunsø Jensen Denmark	10	236 1.5×	39 0.3×	133 1.6×	63 0.8×	56 1.0×	17	583
A.A. Naseri Iran	10	97 0.6×	60 0.4×	41 0.5×	75 1.0×	68 1.2×	30	312

Countries citing papers authored by F. Mayol

Since Specialization

Citations

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

Fields of papers citing papers by F. Mayol

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Mayol

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Fragkou, María Christina, et al.. (2022). Data on accumulative allocation of water rights in the Atacama Desert (Antofagasta Region, northern Chile), 1905–2018. Data in Brief. 42. 108296–108296. 2 indexed citations

2.

Simota, C., Rainer Horn, Heiner Fleige, et al.. (2005). SIDASS project. Soil and Tillage Research. 82(1). 15–18. 8 indexed citations

3.

Horn, Rainer, Heiner Fleige, Ewa A. Czyż, et al.. (2005). SIDASS project. Soil and Tillage Research. 82(1). 47–56. 31 indexed citations

4.

Rosa, Diego de la, Elvira Díaz‐Pereira, F. Mayol, et al.. (2005). SIDASS project. Soil and Tillage Research. 82(1). 19–28. 25 indexed citations

5.

Rosa, Diego de la, et al.. (2003). A land evaluation decision support system (MicroLEIS DSS) for agricultural soil protection. Environmental Modelling & Software. 19(10). 929–942. 140 indexed citations

6.

Rosa, Diego de la, et al.. (2002). A multilingual soil profile database (SDBm Plus) as an essential part of land resources information systems. Environmental Modelling & Software. 17(8). 721–730. 28 indexed citations

7.

Rosa, Diego de la, et al.. (2000). Assessment of soil erosion vulnerability in western Europe and potential impact on crop productivity due to loss of soil depth using the ImpelERO model. Agriculture Ecosystems & Environment. 81(3). 179–190. 68 indexed citations

8.

Rosa, Diego de la, et al.. (1999). An expert system/neural network model (ImpelERO) for evaluating agricultural soil erosion in Andalucia region, southern Spain. Agriculture Ecosystems & Environment. 73(3). 211–226. 38 indexed citations

9.

Crompvoets, Joep, et al.. (1997). Risk modelling: land vulnerability expert system.. Socio-Environmental Systems Modeling. 2 indexed citations

10.

Rosa, Diego de la, Joep Crompvoets, F. Mayol, & José Antonio Moreno-Muñoz. (1996). Land vulnerability evaluation and climate change impacts in Andalucía, spain: soil erosion and contamination. International Agrophysics. 10(3). 225–238. 8 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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