Ángeles Saavedra

87 total papers · 1.2k total citations
56 papers, 873 citations indexed

About

Ángeles Saavedra is a scholar working on Artificial Intelligence, Environmental Engineering and Statistics, Probability and Uncertainty. According to data from OpenAlex, Ángeles Saavedra has authored 56 papers receiving a total of 873 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 16 papers in Environmental Engineering and 10 papers in Statistics, Probability and Uncertainty. Recurrent topics in Ángeles Saavedra's work include Geochemistry and Geologic Mapping (13 papers), Soil Geostatistics and Mapping (9 papers) and Thermochemical Biomass Conversion Processes (7 papers). Ángeles Saavedra is often cited by papers focused on Geochemistry and Geologic Mapping (13 papers), Soil Geostatistics and Mapping (9 papers) and Thermochemical Biomass Conversion Processes (7 papers). Ángeles Saavedra collaborates with scholars based in Spain, Portugal and Ecuador. Ángeles Saavedra's co-authors include Enrique Granada, J. Taboada, Elena Arce, J.L. Mı́guez, Ricardo Cao, Celestino Ordóñez, Antonio Vaamonde Liste, Pablo Eguía, M. Gloria Fiestras-Janeiro and David Araújo‐Vilar and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Chemosphere.

In The Last Decade

Ángeles Saavedra

53 papers receiving 840 citations

Author Peers

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

Author						Papers	Cites
Ángeles Saavedra	166	153	108	101	95	56	873
Qianguo Lin	52 0.3×	189 1.2×	38 0.4×	56 0.6×	102 1.1×	43	950
Ziqiang Zeng	69 0.4×	112 0.7×	250 2.3×	37 0.4×	216 2.3×	59	1.0k
Tommy Norberg	43 0.3×	158 1.0×	59 0.5×	20 0.2×	98 1.0×	39	879
William A. Young	131 0.8×	141 0.9×	116 1.1×	26 0.3×	119 1.3×	71	1.0k
Yuri Lawryshyn	75 0.5×	57 0.4×	108 1.0×	68 0.7×	33 0.3×	49	768
Maher Maalouf	228 1.4×	35 0.2×	46 0.4×	77 0.8×	29 0.3×	59	908
Mihaela Iordache	41 0.2×	81 0.5×	36 0.3×	105 1.0×	205 2.2×	49	762
Milad Memarzadeh	136 0.8×	62 0.4×	131 1.2×	35 0.3×	33 0.3×	40	818
Ling Zhang	71 0.4×	84 0.5×	84 0.8×	21 0.2×	186 2.0×	42	783
Shaun S. Wulff	46 0.3×	65 0.4×	106 1.0×	50 0.5×	123 1.3×	90	951

Countries citing papers authored by Ángeles Saavedra

Since Specialization

Citations

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

Fields of papers citing papers by Ángeles Saavedra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ángeles Saavedra

This figure shows the co-authorship network connecting the top 25 collaborators of Ángeles Saavedra. A scholar is included among the top collaborators of Ángeles Saavedra 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 Ángeles Saavedra. Ángeles Saavedra 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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