Márcio Argollo de Menezes

1.4k citations
31 papers · 935 indexed · 1 hit paper · h-index 10

Márcio Argollo de Menezes

31 papers receiving 914 citations

Hit Papers

The COVID-19 pandemic as an opportunity to weaken environ...13020212026202220244080120

Peers

Márcio Argollo de Menezes
Comparison fields: 5 of 119
  • Statistical and Nonlinear Physics 284
  • Condensed Matter Physics 90
  • Developmental Biology 13
  • Molecular Biology 343
  • Global and Planetary Change 105
Replace Tobias Galla with:
Tobias Galla United Kingdom
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Francesca Tria Italy
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Tal Koren Israel
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Márcio Argollo de Menezes relative to Tobias Galla United Kingdom Tobias Galla's profile →
Citations per field
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Citations per year

Countries citing papers authored by Márcio Argollo de Menezes

Since Specialization
Citations

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

Fields of papers citing papers by Márcio Argollo de Menezes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Márcio Argollo de Menezes. 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 Márcio Argollo de Menezes. The network helps show where Márcio Argollo de Menezes may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Márcio Argollo de Menezes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Márcio Argollo de Menezes Line = papers co-authored together Márcio Argollo de Menezes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20231
3 20232
4 20239
5 20221
6 20214
7
The COVID-19 pandemic as an opportunity to weaken environmental protection in Brazilbreakdown →
2021130
8 20169
9 200815
10 200742
11 20056
12 2004186
13 200493
14 200418
15 200252
16 20015
17 20006
18 19995
19 19994
20
Search for an unitary mortality law through a theoretical model for biological ageing
19972

About Márcio Argollo de Menezes

Márcio Argollo de Menezes is a scholar working on Statistical and Nonlinear Physics, Condensed Matter Physics and Ecological Modeling, having authored 31 papers that have together received 935 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (7 papers), Theoretical and Computational Physics (6 papers), Gene Regulatory Network Analysis (3 papers), Wildlife Ecology and Conservation (3 papers), Complex Systems and Time Series Analysis (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Stochastic processes and statistical mechanics (3 papers) and Opinion Dynamics and Social Influence (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (284 citations), Condensed Matter Physics (90 citations) and Developmental Biology (13 citations). Márcio Argollo de Menezes has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Albert-Ĺaszló Barabási, Zoltán N. Oltvai, Alexei Vázquez, Ziv Bar‐Joseph, Qasim Khalil Beg, Jason Ernst, Cristian F. Moukarzel, Mariana M. Vale, Rita de Cássia Quitete Portela and Ludmila Pugliese de Siqueira. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

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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