María G. Rivas

717 citations
36 papers · 569 indexed · h-index 14
Topics
Metalloenzymes and iron-sulfur proteins (17 papers)Metal-Catalyzed Oxygenation Mechanisms (7 papers)Microbial Fuel Cells and Bioremediation (6 papers)
Journals
SHILAP Revista de lepidopterologíaAccounts of Chemical ResearchThe Journal of Physical Chemistry B
Partner nations
ArgentinaPortugalFrance

In The Last Decade

María G. Rivas

34 papers receiving 565 citations

Peers

María G. Rivas
Comparison fields: 5 of 85
  • Renewable Energy, Sustainability and the Environment 238
  • Molecular Biology 183
  • Inorganic Chemistry 138
  • Environmental Engineering 59
  • Spectroscopy 59
Replace James J. Kiddle with:
James J. Kiddle United States
Kandasamy G. Moodley South Africa
Lars Lauterbach Germany
Claude Lion France
Cristiano Mota Portugal
Han Gao China
Steven P. Hanlon Switzerland
Julien J. H. Cotelesage Canada
Joyce E. Morningstar United States
Rokus Renirie Netherlands
María G. Rivas relative to James J. Kiddle United States James J. Kiddle's profile →
Citations per field
00.5×5.5×
James J. Kiddle · 1×
Citations per year

Countries citing papers authored by María G. Rivas

Since Specialization
Citations

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

Fields of papers citing papers by María G. Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María G. Rivas. 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 María G. Rivas. The network helps show where María G. Rivas may publish in the future.

Co-authorship network of co-authors of María G. Rivas

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 5
4 5
5 5
6 7
7 8
8 1
9 10
10 13
11 16
12 4
13 71
14 21
15 1
16 8
17 36
18 29
19 28
20 19

About María G. Rivas

María G. Rivas is a scholar working on Renewable Energy, Sustainability and the Environment, Inorganic Chemistry and Catalysis, having authored 36 papers that have together received 569 indexed citations. Recurring topics across this work include Metalloenzymes and iron-sulfur proteins (17 papers), Metal-Catalyzed Oxygenation Mechanisms (7 papers) and Microbial Fuel Cells and Bioremediation (6 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (238 citations), Inorganic Chemistry (138 citations) and Process Chemistry and Technology (24 citations). María G. Rivas has collaborated with scholars based in Argentina, Portugal and France. Frequent co-authors include Isabel Moura, Carlos D. Brondino, José J. G. Moura, Pablo J. González, Cristiano Mota, José Luís Capelo, Nuno M. F. S. A. Cerqueira, A.M. Gennaro, Maria João Romão and R. Rial‐Otero. Their work appears in journals such as SHILAP Revista de lepidopterología, Accounts of Chemical Research and The Journal of Physical Chemistry B.

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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