Francisca C. do Val

27 total papers · 412 total citations
19 papers, 342 citations indexed

About

Francisca C. do Val is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Francisca C. do Val has authored 19 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Insect Science, 9 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Genetics. Recurrent topics in Francisca C. do Val's work include Insect behavior and control techniques (13 papers), Plant and animal studies (6 papers) and Diptera species taxonomy and behavior (3 papers). Francisca C. do Val is often cited by papers focused on Insect behavior and control techniques (13 papers), Plant and animal studies (6 papers) and Diptera species taxonomy and behavior (3 papers). Francisca C. do Val collaborates with scholars based in Brazil, United States and Canada. Francisca C. do Val's co-authors include Kenneth Y. Kaneshiro, F. M. Sene, Hampton L. Carson, Carlos Ribeiro Vilela, James W. Archie, Paulo Nuin, Chris Simon, Patrick O’Grady, Alan R. Templeton and D. Elmo Hardy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The American Naturalist and Evolution.

In The Last Decade

Francisca C. do Val

18 papers receiving 315 citations

Author Peers

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

Author Last Decade Papers Cites
Francisca C. do Val 213 200 128 70 58 19 342
Dorothy J. Jackson 201 0.9× 213 1.1× 74 0.6× 72 1.0× 141 2.4× 20 364
Sunitha Narasimha 165 0.8× 159 0.8× 147 1.1× 20 0.3× 96 1.7× 13 383
Luiz Roberto Ribeiro Faria 271 1.3× 182 0.9× 94 0.7× 64 0.9× 63 1.1× 36 350
Carlos Ruíz 267 1.3× 168 0.8× 156 1.2× 69 1.0× 95 1.6× 35 387
Mark Greco 170 0.8× 154 0.8× 158 1.2× 40 0.6× 22 0.4× 23 342
David Foote 199 0.9× 199 1.0× 119 0.9× 59 0.8× 83 1.4× 26 341
Jiří Hadrava 237 1.1× 154 0.8× 59 0.5× 107 1.5× 45 0.8× 32 298
Jan Růžička 99 0.5× 230 1.1× 81 0.6× 67 1.0× 149 2.6× 41 350
Shauna L. Price 241 1.1× 207 1.0× 296 2.3× 30 0.4× 50 0.9× 10 393
H. Burla 103 0.5× 192 1.0× 102 0.8× 65 0.9× 128 2.2× 29 346

Countries citing papers authored by Francisca C. do Val

Since Specialization
Citations

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

Fields of papers citing papers by Francisca C. do Val

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francisca C. do Val. 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 Francisca C. do Val. The network helps show where Francisca C. do Val may publish in the future.

Co-authorship network of co-authors of Francisca C. do Val

This figure shows the co-authorship network connecting the top 25 collaborators of Francisca C. do Val. A scholar is included among the top collaborators of Francisca C. do Val 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 Francisca C. do Val. Francisca C. do Val 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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