Gabriel Plascencia

78 total papers · 620 total citations
45 papers, 499 citations indexed

About

Gabriel Plascencia is a scholar working on Mechanical Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Gabriel Plascencia has authored 45 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Mechanical Engineering, 12 papers in Materials Chemistry and 9 papers in Biomedical Engineering. Recurrent topics in Gabriel Plascencia's work include Metallurgical Processes and Thermodynamics (20 papers), Iron and Steelmaking Processes (6 papers) and Metal Extraction and Bioleaching (5 papers). Gabriel Plascencia is often cited by papers focused on Metallurgical Processes and Thermodynamics (20 papers), Iron and Steelmaking Processes (6 papers) and Metal Extraction and Bioleaching (5 papers). Gabriel Plascencia collaborates with scholars based in Mexico, Canada and Costa Rica. Gabriel Plascencia's co-authors include T. Utigard, Timothy W. Marin, Meining Wu, David Jaramillo, Francisco C. Robles Hernández, R.R. Ambriz, H. Rojas‐Chávez, D. Jaramillo-Vigueras, S.D. De la Torre and Shuzhen Fan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Corrosion Science and Chemical Engineering Science.

In The Last Decade

Gabriel Plascencia

40 papers receiving 486 citations

Author Peers

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

Author						Papers	Cites
Gabriel Plascencia	291	213	96	88	61	45	499
Chong Zhao	282 1.0×	166 0.8×	116 1.2×	71 0.8×	77 1.3×	54	544
Chao Feng	215 0.7×	227 1.1×	111 1.2×	83 0.9×	47 0.8×	49	550
Pengxiang Song	164 0.6×	239 1.1×	127 1.3×	138 1.6×	70 1.1×	30	568
Xingwei Zhang	197 0.7×	238 1.1×	80 0.8×	79 0.9×	42 0.7×	39	548
Chenyu Yang	119 0.4×	161 0.8×	115 1.2×	117 1.3×	54 0.9×	47	464
Haiyang Zhu	113 0.4×	172 0.8×	123 1.3×	91 1.0×	45 0.7×	27	498
Kai Lü	133 0.5×	168 0.8×	109 1.1×	73 0.8×	20 0.3×	45	452
Lidong Teng	424 1.5×	221 1.0×	113 1.2×	35 0.4×	81 1.3×	38	543
Juan Chen	298 1.0×	82 0.4×	93 1.0×	73 0.8×	82 1.3×	59	555
Apurba Kumar Roy	238 0.8×	100 0.5×	128 1.3×	172 2.0×	66 1.1×	52	507

Countries citing papers authored by Gabriel Plascencia

Since Specialization

Citations

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

Fields of papers citing papers by Gabriel Plascencia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Plascencia

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