Valéria Visani
- Analytical Chemistry top 0.2%
- Biomedical Engineering top 10%
- Biophysics top 1%
- Industrial and Manufacturing Engineering top 2%
- Plant Science
- Co-authors
- Mário César Ugulino de AraújoRoberto Kawakami Harrop GalvãoTakashi YoneyamaTeresa Cristina Bezerra SaldanhaMaria Fernanda PimentelIsabella Macário Ferro CavalcantiHaiana Charifker SchindlerLílian Maria Lapa Montenegro
- Topics
- Spectroscopy and Chemometric Analyses (5 papers)Water Quality Monitoring and Analysis (4 papers)Advanced Chemical Sensor Technologies (3 papers)
- Journals
- Analytica Chimica ActaAnalytical and Bioanalytical ChemistryChemometrics and Intelligent Laboratory Systems
- Partner nations
- Brazil
In The Last Decade
Valéria Visani
10 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Analytical Chemistry 1.0k
- Biomedical Engineering 384
- Biophysics 317
- Industrial and Manufacturing Engineering 279
- Plant Science 163
Countries citing papers authored by Valéria Visani
This map shows the geographic impact of Valéria Visani'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 Valéria Visani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valéria Visani more than expected).
Fields of papers citing papers by Valéria Visani
This network shows the impact of papers produced by Valéria Visani. 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 Valéria Visani. The network helps show where Valéria Visani may publish in the future.
Co-authorship network of co-authors of Valéria Visani
This figure shows the co-authorship network connecting the top 25 collaborators of Valéria Visani. A scholar is included among the top collaborators of Valéria Visani 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 Valéria Visani. Valéria Visani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 11 | |
| 3 | 14 | |
| 4 | 39 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 20 | |
| 8 | The successive projections algorithm for variable selection in spectroscopic multicomponent analysisbreakdown → | 1069 |
| 9 | 81 | |
| 10 | 6 |
About Valéria Visani
Valéria Visani is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Biophysics, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (5 papers), Water Quality Monitoring and Analysis (4 papers) and Advanced Chemical Sensor Technologies (3 papers). The work is most often cited by research in Analytical Chemistry (1.0k citations), Biophysics (317 citations) and Industrial and Manufacturing Engineering (279 citations). Valéria Visani has collaborated with scholars based in Brazil. Frequent co-authors include Mário César Ugulino de Araújo, Roberto Kawakami Harrop Galvão, Takashi Yoneyama, Teresa Cristina Bezerra Saldanha, Maria Fernanda Pimentel, Isabella Macário Ferro Cavalcanti, Haiana Charifker Schindler, Lílian Maria Lapa Montenegro, José Luiz de Lima-Filho and Heronides Adonias Dantas Filho. Their work appears in journals such as Analytica Chimica Acta, Analytical and Bioanalytical Chemistry and Chemometrics and Intelligent Laboratory Systems.
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.