Flávio Neves

141 total papers · 1.5k total citations
84 papers, 912 citations indexed

About

Flávio Neves is a scholar working on Control and Systems Engineering, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Flávio Neves has authored 84 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Control and Systems Engineering, 18 papers in Biomedical Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Flávio Neves's work include Process Optimization and Integration (23 papers), Advanced Control Systems Optimization (15 papers) and Robotics and Sensor-Based Localization (12 papers). Flávio Neves is often cited by papers focused on Process Optimization and Integration (23 papers), Advanced Control Systems Optimization (15 papers) and Robotics and Sensor-Based Localization (12 papers). Flávio Neves collaborates with scholars based in Brazil, Portugal and France. Flávio Neves's co-authors include Lúcia Valéria Ramos de Arruda, Leandro Magatão, Susana Relvas, Ana Paula Barbosa‐Póvoa, André Schneider de Oliveira, Márcio Mendonça, Daniel Rodrigues Pipa, Osvaldo José Venturini, F.A. França and Bruno Augusto Angélico and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Access.

In The Last Decade

Flávio Neves

77 papers receiving 881 citations

Author Peers

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

Author						Papers	Cites
Flávio Neves	487	166	163	163	144	84	912
Bei Sun	543 1.1×	116 0.7×	133 0.8×	59 0.4×	377 2.6×	104	1.2k
Jingli Yang	698 1.4×	100 0.6×	126 0.8×	47 0.3×	275 1.9×	87	1.2k
Pavol Božek	287 0.6×	169 1.0×	150 0.9×	46 0.3×	312 2.2×	85	857
Aydin Azizi	134 0.3×	153 0.9×	93 0.6×	95 0.6×	241 1.7×	71	935
Haibo Liang	183 0.4×	50 0.3×	75 0.5×	169 1.0×	216 1.5×	45	878
Zhengtian Wu	399 0.8×	70 0.4×	77 0.5×	57 0.3×	112 0.8×	97	1000
Cheng Shao	656 1.3×	35 0.2×	105 0.6×	88 0.5×	255 1.8×	170	1.2k
Daniel Schmidt	177 0.4×	179 1.1×	289 1.8×	39 0.2×	242 1.7×	65	880
Jian Wan	271 0.6×	86 0.5×	60 0.4×	203 1.2×	102 0.7×	86	1.1k
Yu Ding	355 0.7×	70 0.4×	82 0.5×	30 0.2×	160 1.1×	62	1.0k

Countries citing papers authored by Flávio Neves

Since Specialization

Citations

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

Fields of papers citing papers by Flávio Neves

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flávio Neves

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