M.G. Sandoval-Paz

20 total papers · 431 total citations
17 papers, 374 citations indexed

About

M.G. Sandoval-Paz is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Computer Networks and Communications. According to data from OpenAlex, M.G. Sandoval-Paz has authored 17 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 16 papers in Materials Chemistry and 1 paper in Computer Networks and Communications. Recurrent topics in M.G. Sandoval-Paz's work include Chalcogenide Semiconductor Thin Films (15 papers), Quantum Dots Synthesis And Properties (15 papers) and Copper-based nanomaterials and applications (11 papers). M.G. Sandoval-Paz is often cited by papers focused on Chalcogenide Semiconductor Thin Films (15 papers), Quantum Dots Synthesis And Properties (15 papers) and Copper-based nanomaterials and applications (11 papers). M.G. Sandoval-Paz collaborates with scholars based in Chile, Mexico and Argentina. M.G. Sandoval-Paz's co-authors include R. Ramı́rez-Bon, M. Sotelo-Lerma, M. Flores-Acosta, A. Mendoza‐Galván, C.A. Rodríguez, C. Carrasco, G. Cabello, Marcos Flores, M. Sirena and Henry A. Fernández and has published in prestigious journals such as Journal of Alloys and Compounds, Thin Solid Films and Journal of Physics and Chemistry of Solids.

In The Last Decade

M.G. Sandoval-Paz

16 papers receiving 364 citations

Author Peers

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

Author						Papers	Cites
M.G. Sandoval-Paz	331	328	52	43	27	17	374
Meril Mathew	342 1.0×	346 1.1×	56 1.1×	44 1.0×	50 1.9×	21	417
A.S. Khomane	329 1.0×	355 1.1×	48 0.9×	31 0.7×	32 1.2×	12	388
Jiang Guo	226 0.7×	342 1.0×	30 0.6×	42 1.0×	20 0.7×	19	408
N. Lakshminarayan	317 1.0×	248 0.8×	67 1.3×	19 0.4×	42 1.6×	16	368
K.P. Vijayakumar	375 1.1×	367 1.1×	56 1.1×	43 1.0×	32 1.2×	28	427
Yu Zhang	310 0.9×	304 0.9×	107 2.1×	31 0.7×	16 0.6×	13	368
Meng Wang	308 0.9×	302 0.9×	39 0.8×	23 0.5×	29 1.1×	15	382
Rohit Babar	184 0.6×	290 0.9×	48 0.9×	58 1.3×	31 1.1×	19	350
S. R. Gosavi	288 0.9×	354 1.1×	29 0.6×	99 2.3×	20 0.7×	23	407
Nanhai Li	227 0.7×	254 0.8×	49 0.9×	39 0.9×	15 0.6×	19	375

Countries citing papers authored by M.G. Sandoval-Paz

Since Specialization

Citations

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

Fields of papers citing papers by M.G. Sandoval-Paz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.G. Sandoval-Paz. 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 M.G. Sandoval-Paz. The network helps show where M.G. Sandoval-Paz may publish in the future.

Co-authorship network of co-authors of M.G. Sandoval-Paz

This figure shows the co-authorship network connecting the top 25 collaborators of M.G. Sandoval-Paz. A scholar is included among the top collaborators of M.G. Sandoval-Paz 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 M.G. Sandoval-Paz. M.G. Sandoval-Paz 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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