R.G. Lacerda

902 citations
30 papers · 775 · h-index 15

Impact in

Papers in

R.G. Lacerda

30 papers receiving 761 citations

Peers

R.G. Lacerda
Comparison fields: 5 of 45
  • Mechanics of Materials 403
  • Materials Chemistry 657
  • Computational Mechanics 97
  • Electrical and Electronic Engineering 254
  • Geophysics 52
Replace A. Laikhtman with:
A. Laikhtman Israel
M. Benlahsen France
R. Samlenski Germany
Y. Avigal Israel
Michael D. Whitfield United Kingdom
Joyce C. Liu United States
R.J. Gaboriaud France
J.I.B. Wilson United Kingdom
W. Drawl United States
Fabrice Piazza France
R.G. Lacerda relative to A. Laikhtman Israel A. Laikhtman's profile →
Citations per field
00.5×1.6×
A. Laikhtman · 1×
Citations per year

Countries citing papers authored by R.G. Lacerda

Since Specialization
Citations

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

Fields of papers citing papers by R.G. Lacerda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.G. Lacerda. 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 R.G. Lacerda. The network helps show where R.G. Lacerda may publish in the future.

Co-authors

The 25 scholars most cited alongside R.G. Lacerda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with R.G. Lacerda Line = papers co-authored together R.G. Lacerda links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999122
2 199894
3 200385
4 200063
5 200148
6 200445
7 200435
8 200332
9 199830
10 200029
11 199926
12 200220
13 200218
14 200118
15 200815
16 200411
17 20059
18 20109
19 20038
20 20038

About R.G. Lacerda

R.G. Lacerda is a scholar working on Materials Chemistry, Mechanics of Materials, Computational Mechanics, Geophysics and Electrical and Electronic Engineering, having authored 30 papers that have together received 775 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (27 papers), Metal and Thin Film Mechanics (18 papers), Ion-surface interactions and analysis (10 papers), High-pressure geophysics and materials (7 papers), Carbon Nanotubes in Composites (5 papers), Semiconductor materials and devices (5 papers), Force Microscopy Techniques and Applications (3 papers) and Thin-Film Transistor Technologies (2 papers). The work is most often cited by research in Mechanics of Materials (403 citations), Materials Chemistry (657 citations), Computational Mechanics (97 citations), Electrical and Electronic Engineering (254 citations) and Geophysics (52 citations). R.G. Lacerda has collaborated with scholars based in Brazil, United Kingdom and United States. Frequent co-authors include F. C. Marques, F. Alvarez, Peter Hammer, J. Vilcarromero, A. Champi, S. Ravi P. Silva, R. Droppa, David Cox, C.M. Lepienski and Vlad Stolojan. Their work appears in journals such as Applied Physics Letters, Diamond and Related Materials, Thin Solid Films, Journal of Non-Crystalline Solids and Journal of Applied Physics.

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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