L.R.O. de Lima

230 total papers · 1.5k total citations
89 papers, 1.1k citations indexed

About

L.R.O. de Lima is a scholar working on Civil and Structural Engineering, Building and Construction and Mechanical Engineering. According to data from OpenAlex, L.R.O. de Lima has authored 89 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Civil and Structural Engineering, 45 papers in Building and Construction and 12 papers in Mechanical Engineering. Recurrent topics in L.R.O. de Lima's work include Structural Load-Bearing Analysis (65 papers), Structural Behavior of Reinforced Concrete (44 papers) and Structural Engineering and Vibration Analysis (37 papers). L.R.O. de Lima is often cited by papers focused on Structural Load-Bearing Analysis (65 papers), Structural Behavior of Reinforced Concrete (44 papers) and Structural Engineering and Vibration Analysis (37 papers). L.R.O. de Lima collaborates with scholars based in Brazil, Portugal and Hong Kong. L.R.O. de Lima's co-authors include P.C.G. da S. Vellasco, S.A.L. de Andrade, José Guilherme Santos da Silva, Luís Simões da Silva, L.F. Costa-Neves, Carlos Rebelo, Mario D’Aniello, Fábio P. Figueiredo, Raffaele Landolfo and Tak‐Ming Chan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Engineering Structures and Computers & Structures.

In The Last Decade

L.R.O. de Lima

81 papers receiving 1000 citations

Author Peers

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

Author						Papers	Cites
L.R.O. de Lima	1.0k	481	198	166	76	89	1.1k
S.A.L. de Andrade	849 0.8×	382 0.8×	196 1.0×	130 0.8×	80 1.1×	35	885
Jay Shen	1.1k 1.1×	342 0.7×	116 0.6×	76 0.5×	108 1.4×	64	1.2k
Peter Waldron	890 0.9×	556 1.2×	93 0.5×	91 0.5×	18 0.2×	87	1.2k
Stephen Hicks	758 0.7×	504 1.0×	81 0.4×	66 0.4×	29 0.4×	74	805
Daniela Addessi	860 0.8×	339 0.7×	87 0.4×	472 2.8×	63 0.8×	69	1.1k
Kunitomo Sugiura	837 0.8×	412 0.9×	202 1.0×	189 1.1×	50 0.7×	81	930
László Dunai	846 0.8×	367 0.8×	256 1.3×	325 2.0×	71 0.9×	102	944
Tengfei Xu	648 0.6×	310 0.6×	216 1.1×	120 0.7×	76 1.0×	85	975
Ana M. Ruiz‐Teran	723 0.7×	404 0.8×	173 0.9×	79 0.5×	82 1.1×	43	820
Markus Knobloch	755 0.7×	499 1.0×	155 0.8×	118 0.7×	88 1.2×	103	946

Countries citing papers authored by L.R.O. de Lima

Since Specialization

Citations

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

Fields of papers citing papers by L.R.O. de Lima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.R.O. de Lima. 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 L.R.O. de Lima. The network helps show where L.R.O. de Lima may publish in the future.

Co-authorship network of co-authors of L.R.O. de Lima

This figure shows the co-authorship network connecting the top 25 collaborators of L.R.O. de Lima. A scholar is included among the top collaborators of L.R.O. de Lima 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 L.R.O. de Lima. L.R.O. de Lima 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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