Daniela Ferreira

51 total papers · 772 total citations
19 papers, 615 citations indexed

About

Daniela Ferreira is a scholar working on Surgery, Cognitive Neuroscience and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniela Ferreira has authored 19 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Cognitive Neuroscience and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniela Ferreira's work include EEG and Brain-Computer Interfaces (3 papers), Functional Brain Connectivity Studies (3 papers) and Neural and Behavioral Psychology Studies (2 papers). Daniela Ferreira is often cited by papers focused on EEG and Brain-Computer Interfaces (3 papers), Functional Brain Connectivity Studies (3 papers) and Neural and Behavioral Psychology Studies (2 papers). Daniela Ferreira collaborates with scholars based in Portugal, Germany and Brazil. Daniela Ferreira's co-authors include Nuno Sousa, João Cerqueira, Osborne F. X. Almeida, João M. Bessa, Fernanda Marques, Joana Almeida Palha, N. S. Dias, Luís Jacinto, Pedro Moradas‐Ferreira and Nadine Correia Santos and has published in prestigious journals such as PLoS ONE, Molecular Psychiatry and Frontiers in Psychology.

In The Last Decade

Daniela Ferreira

16 papers receiving 607 citations

Author Peers

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

Author						Papers	Cites
Daniela Ferreira	253	232	187	185	117	19	615
Akiko Kurata	169 0.7×	203 0.9×	109 0.6×	136 0.7×	245 2.1×	18	683
Carolina Bianchi	277 1.1×	135 0.6×	148 0.8×	94 0.5×	144 1.2×	33	665
Gianluigi Guidotti	194 0.8×	308 1.3×	79 0.4×	235 1.3×	63 0.5×	12	646
Hyunjung Oh	267 1.1×	189 0.8×	77 0.4×	226 1.2×	127 1.1×	30	695
Hye Yeon Cho	306 1.2×	113 0.5×	85 0.5×	147 0.8×	82 0.7×	20	674
Patricia Jiménez-Vasquez	394 1.6×	224 1.0×	91 0.5×	73 0.4×	72 0.6×	12	629
Dennisse V. Jimenez	313 1.2×	100 0.4×	148 0.8×	79 0.4×	132 1.1×	15	667
Marjorie R. Levinstein	286 1.1×	96 0.4×	77 0.4×	113 0.6×	94 0.8×	17	558
Nuno Dinis Alves	190 0.8×	201 0.9×	193 1.0×	159 0.9×	51 0.4×	25	598
Luciana Rillosi	201 0.8×	75 0.3×	88 0.5×	117 0.6×	147 1.3×	12	619

Countries citing papers authored by Daniela Ferreira

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Ferreira

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Ferreira

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