Eva Lacarce

569 total citations
9 papers, 476 citations indexed

About

Eva Lacarce is a scholar working on Environmental Engineering, Soil Science and Artificial Intelligence. According to data from OpenAlex, Eva Lacarce has authored 9 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 6 papers in Soil Science and 3 papers in Artificial Intelligence. Recurrent topics in Eva Lacarce's work include Soil Geostatistics and Mapping (7 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Geochemistry and Geologic Mapping (3 papers). Eva Lacarce is often cited by papers focused on Soil Geostatistics and Mapping (7 papers), Soil Carbon and Nitrogen Dynamics (6 papers) and Geochemistry and Geologic Mapping (3 papers). Eva Lacarce collaborates with scholars based in France, Belgium and Morocco. Eva Lacarce's co-authors include Jeroen Meersmans, Nicolas Saby, Claudy Jolivet, Line Boulonne, Thomas G. Orton, Antonio Bispo, Dominique Arrouays, Manuel Martín, Sarah De Baets and Dominique Arrouays and has published in prestigious journals such as Geochimica et Cosmochimica Acta, Geoderma and Agronomy for Sustainable Development.

In The Last Decade

Eva Lacarce

9 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Lacarce France	8	244	234	111	90	58	9	476
Larry P. Wilding United States	8	148 0.6×	157 0.7×	69 0.6×	41 0.5×	23 0.4×	10	400
Stjepan Husnjak Croatia	15	204 0.8×	68 0.3×	38 0.3×	49 0.5×	46 0.8×	73	502
Ch. Jyotiprava Dash India	11	103 0.4×	216 0.9×	62 0.6×	45 0.5×	98 1.7×	23	425
G.A. Bartle Australia	15	119 0.5×	162 0.7×	76 0.7×	30 0.3×	71 1.2×	22	549
P. Farrington Australia	18	130 0.5×	170 0.7×	63 0.6×	31 0.3×	72 1.2×	31	677
Jean-Pierre Thiébaux France	7	297 1.2×	82 0.4×	173 1.6×	16 0.2×	53 0.9×	11	530
Jean‐François Desprats France	10	111 0.5×	126 0.5×	104 0.9×	7 0.1×	49 0.8×	23	417
Othmar Nestroy Austria	9	207 0.8×	56 0.2×	67 0.6×	11 0.1×	23 0.4×	23	359
William R. Effland United States	8	101 0.4×	55 0.2×	90 0.8×	22 0.2×	30 0.5×	13	340

Countries citing papers authored by Eva Lacarce

Since Specialization

Citations

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

Fields of papers citing papers by Eva Lacarce

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Lacarce

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

All Works

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9 of 9 papers shown

Munera-Echeverri, J. L., Line Boulonne, Nicolas Saby, et al.. (2024). Datasets on bulk density and coarse fragment content from the French soil quality monitoring network. Data in Brief. 56. 110767–110767. 2 indexed citations

Orton, Thomas G., Eva Lacarce, Jeroen Meersmans, et al.. (2014). Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale. Geoderma. 223-225. 97–107. 122 indexed citations

Meersmans, Jeroen, Eva Lacarce, Thomas G. Orton, et al.. (2013). Estimation of Soil Carbon Input in France: An Inverse Modelling Approach. Pedosphere. 23(4). 422–436. 28 indexed citations

Saby, Nicolas, Thomas G. Orton, Eva Lacarce, et al.. (2013). Statistical sampling design impact on predictive quality of harmonization functions between soil monitoring networks. Geoderma. 213. 133–143. 11 indexed citations

Meersmans, Jeroen, Manuel Martín, Eva Lacarce, et al.. (2012). A high resolution map of French soil organic carbon. Agronomy for Sustainable Development. 32(4). 841–851. 80 indexed citations

Meersmans, Jeroen, Manuel Martín, Fjo De Ridder, et al.. (2012). A novel soil organic C model using climate, soil type and management data at the national scale in France. Agronomy for Sustainable Development. 32(4). 873–888. 58 indexed citations

Lacarce, Eva, Nicolas Saby, Manuel Martín, et al.. (2011). Mapping soil Pb stocks and availability in mainland France combining regression trees with robust geostatistics. Geoderma. 170. 359–368. 36 indexed citations

Lacarce, Eva, et al.. (2009). Data management for monitoring forest soils in Europe for the Biosoil project. Soil Use and Management. 25(1). 57–65. 22 indexed citations

Braun, Jean‐Jacques, Marc Descloîtres, Jean Riotte, et al.. (2008). Regolith mass balance inferred from combined mineralogical, geochemical and geophysical studies: Mule Hole gneissic watershed, South India. Geochimica et Cosmochimica Acta. 73(4). 935–961. 117 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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