Mariela Navas

27 total papers · 586 total citations
20 papers, 464 citations indexed

About

Mariela Navas is a scholar working on Soil Science, Plant Science and Environmental Chemistry. According to data from OpenAlex, Mariela Navas has authored 20 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Soil Science, 10 papers in Plant Science and 5 papers in Environmental Chemistry. Recurrent topics in Mariela Navas's work include Soil Carbon and Nitrogen Dynamics (14 papers), Soil and Water Nutrient Dynamics (5 papers) and Soil Management and Crop Yield (3 papers). Mariela Navas is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (14 papers), Soil and Water Nutrient Dynamics (5 papers) and Soil Management and Crop Yield (3 papers). Mariela Navas collaborates with scholars based in Spain, Czechia and Venezuela. Mariela Navas's co-authors include Marta Benito, Alberto Masaguer, Nikola Teutscherová, Eduardo Vázquez, Emilia López‐Solanilla, J. L. Tenorio, Antonio Vallejo, Jakub Houška, Kate M. Scow and Radomir Schmidt and has published in prestigious journals such as The Science of The Total Environment, Geoderma and Soil and Tillage Research.

In The Last Decade

Mariela Navas

17 papers receiving 451 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mariela Navas	319	134	106	92	82	20	464
Yubing Dong	328 1.0×	112 0.8×	81 0.8×	79 0.9×	85 1.0×	25	482
M. H. Frere	245 0.8×	120 0.9×	113 1.1×	75 0.8×	67 0.8×	20	460
Sun Nan	396 1.2×	94 0.7×	101 1.0×	89 1.0×	76 0.9×	16	506
Miguel A. Ayarza	389 1.2×	107 0.8×	126 1.2×	54 0.6×	93 1.1×	24	546
Lanfang Wu	366 1.1×	162 1.2×	101 1.0×	93 1.0×	124 1.5×	24	480
Lennart Mattsson	286 0.9×	146 1.1×	197 1.9×	78 0.8×	92 1.1×	22	549
Günther Springob	302 0.9×	79 0.6×	127 1.2×	93 1.0×	98 1.2×	20	431
R. S. Dharmakeerthi	269 0.8×	116 0.9×	115 1.1×	63 0.7×	40 0.5×	29	414
Tianlong Hu	294 0.9×	144 1.1×	79 0.7×	41 0.4×	104 1.3×	18	518
Daniel Ruiz Potma Gonçalves	377 1.2×	129 1.0×	92 0.9×	55 0.6×	93 1.1×	27	522

Countries citing papers authored by Mariela Navas

Since Specialization

Citations

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

Fields of papers citing papers by Mariela Navas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariela Navas

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

All Works

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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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