Rosiane Mattar

317 total papers · 4.1k total citations
189 papers, 2.8k citations indexed

About

Rosiane Mattar is a scholar working on Obstetrics and Gynecology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Rosiane Mattar has authored 189 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Obstetrics and Gynecology, 62 papers in Epidemiology and 54 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Rosiane Mattar's work include Pregnancy and preeclampsia studies (58 papers), Gestational Diabetes Research and Management (49 papers) and Preterm Birth and Chorioamnionitis (29 papers). Rosiane Mattar is often cited by papers focused on Pregnancy and preeclampsia studies (58 papers), Gestational Diabetes Research and Management (49 papers) and Preterm Birth and Chorioamnionitis (29 papers). Rosiane Mattar collaborates with scholars based in Brazil, United States and Italy. Rosiane Mattar's co-authors include Sílvia Daher, Maria Regina Torloni, Antônio Fernandes Moron, Edward Araujo Júnior, Carlos Antônio Negrato, Marília Brito Gomes, Luiz Camano, Bárbara Yasmin Gueuvoghlanian‐Silva, Nelson Sass and Sue Yazaki Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Rosiane Mattar

170 papers receiving 2.7k citations

Author Peers

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

Author Last Decade Papers Cites
Rosiane Mattar 1.4k 770 717 688 596 189 2.8k
A. C. Turnbull 1.1k 0.8× 1.1k 1.4× 904 1.3× 454 0.7× 696 1.2× 130 3.7k
Ja‐Young Kwon 1.3k 0.9× 916 1.2× 654 0.9× 507 0.7× 663 1.1× 158 3.2k
Aini Bloigu 833 0.6× 832 1.1× 784 1.1× 562 0.8× 853 1.4× 123 4.0k
Bernard Gonik 947 0.7× 1000 1.3× 903 1.3× 425 0.6× 1.1k 1.8× 205 3.9k
Nina Marković 1.2k 0.9× 1.1k 1.4× 515 0.7× 366 0.5× 371 0.6× 90 3.0k
Alan Bocking 1.1k 0.8× 1.7k 2.2× 651 0.9× 447 0.6× 1.0k 1.8× 117 3.9k
Sarah J. Stock 1.6k 1.1× 1.5k 1.9× 923 1.3× 396 0.6× 933 1.6× 150 3.7k
Irène Hoesli 969 0.7× 907 1.2× 698 1.0× 417 0.6× 480 0.8× 123 2.6k
Dilek Şahın 1.6k 1.1× 813 1.1× 891 1.2× 267 0.4× 281 0.5× 335 3.3k
George Creatsas 1.2k 0.9× 457 0.6× 769 1.1× 483 0.7× 457 0.8× 167 3.5k

Countries citing papers authored by Rosiane Mattar

Since Specialization
Citations

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

Fields of papers citing papers by Rosiane Mattar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosiane Mattar

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