Maria Benincasa

525 citations
10 papers · 395 indexed · h-index 10
Topics
Field-Flow Fractionation Techniques (4 papers)Microbial bioremediation and biosurfactants (4 papers)Advanced Thermodynamic Systems and Engines (2 papers)
Partner nations
BrazilUnited StatesSpain

In The Last Decade

Maria Benincasa

10 papers receiving 384 citations

Peers

Maria Benincasa
Comparison fields: 5 of 76
  • Computational Mechanics 152
  • Pollution 144
  • Molecular Biology 80
  • Biomedical Engineering 78
  • Physical and Theoretical Chemistry 62
Replace S. Murata with:
S. Murata Japan
B. Birou Switzerland
L. J. Bruce United Kingdom
A. A. Esener Netherlands
Ren Der Yang United States
Swagatika Dash India
Aiguo Zhu China
Charles L. Meyer United States
Gustav Klein Austria
Sandeep Kale India
Maria Benincasa relative to S. Murata Japan S. Murata's profile →
Citations per field
00.5×6.1×
S. Murata · 1×
Citations per year

Countries citing papers authored by Maria Benincasa

Since Specialization
Citations

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

Fields of papers citing papers by Maria Benincasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Benincasa

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Benincasa. A scholar is included among the top collaborators of Maria Benincasa 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 Maria Benincasa. Maria Benincasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 51
2 40
3 21
4 64
5 32
6 32
7 24
8 28
9 68
10 35

About Maria Benincasa

Maria Benincasa is a scholar working on Filtration and Separation, Pollution and Computational Mechanics, having authored 10 papers that have together received 395 indexed citations. Recurring topics across this work include Field-Flow Fractionation Techniques (4 papers), Microbial bioremediation and biosurfactants (4 papers) and Advanced Thermodynamic Systems and Engines (2 papers). The work is most often cited by research in Filtration and Separation (28 citations), Pollution (144 citations) and Computational Mechanics (152 citations). Maria Benincasa has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include J. Calvin Giddings, Ángeles Manresa, Eliana Gertrudes de Macedo Lemos, Márcia Justino Rossini Mutton, Montserrat Busquets, Ping Li, M. Carmen Fusté, P. Stephen Williams, Aurora Pinazo and Jon Y. Takemoto. Their work appears in journals such as Analytical Chemistry, Bioresource Technology and Journal of Chromatography A.

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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