C. Moura Neto

27 total papers · 516 total citations
14 papers, 362 citations indexed

About

C. Moura Neto is a scholar working on Materials Chemistry, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, C. Moura Neto has authored 14 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Materials Chemistry, 9 papers in Mechanical Engineering and 3 papers in Mechanics of Materials. Recurrent topics in C. Moura Neto's work include Titanium Alloys Microstructure and Properties (6 papers), Shape Memory Alloy Transformations (4 papers) and Intermetallics and Advanced Alloy Properties (4 papers). C. Moura Neto is often cited by papers focused on Titanium Alloys Microstructure and Properties (6 papers), Shape Memory Alloy Transformations (4 papers) and Intermetallics and Advanced Alloy Properties (4 papers). C. Moura Neto collaborates with scholars based in Brazil, Spain and Peru. C. Moura Neto's co-authors include Paulo Roberto Mei, Jorge Otubo, Miguel Justino Ribeiro Barboza, Cosme Roberto Moreira Silva, Sandra Giacomin Schneider, A.A. Coelho, Danieli Aparecida Pereira Reis, Francisco Piorino Neto, E.J. Corat and Michael J. Kaufman and has published in prestigious journals such as Materials Science and Engineering A, Journal of Materials Processing Technology and Materials Science and Engineering C.

In The Last Decade

C. Moura Neto

14 papers receiving 351 citations

Author Peers

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

Author						Papers	Cites
C. Moura Neto	317	201	99	35	34	14	362
Yan Wang	231 0.7×	201 1.0×	68 0.7×	38 1.1×	27 0.8×	18	338
William Art Counts	280 0.9×	266 1.3×	112 1.1×	20 0.6×	13 0.4×	10	382
E. Sukedai	312 1.0×	282 1.4×	76 0.8×	22 0.6×	32 0.9×	22	368
Good Sun Choi	255 0.8×	251 1.2×	68 0.7×	33 0.9×	11 0.3×	17	357
Ondřej Srba	287 0.9×	255 1.3×	79 0.8×	32 0.9×	40 1.2×	12	343
Tiewei Xu	243 0.8×	261 1.3×	59 0.6×	19 0.5×	44 1.3×	20	327
Klaudia Horváth	230 0.7×	287 1.4×	115 1.2×	25 0.7×	43 1.3×	19	389
L. Dekhil	202 0.6×	248 1.2×	114 1.2×	32 0.9×	95 2.8×	11	334
Wanjun He	222 0.7×	291 1.4×	149 1.5×	22 0.6×	10 0.3×	21	388
Yu Feng	187 0.6×	154 0.8×	143 1.4×	68 1.9×	38 1.1×	18	326

Countries citing papers authored by C. Moura Neto

Since Specialization

Citations

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

Fields of papers citing papers by C. Moura Neto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Moura Neto. 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 C. Moura Neto. The network helps show where C. Moura Neto may publish in the future.

Co-authorship network of co-authors of C. Moura Neto

This figure shows the co-authorship network connecting the top 25 collaborators of C. Moura Neto. A scholar is included among the top collaborators of C. Moura Neto 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 C. Moura Neto. C. Moura Neto 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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