Marcelo Leandro Bueno

1.9k citations
68 papers · 1.3k indexed · h-index 19

Marcelo Leandro Bueno

63 papers receiving 1.3k citations

Peers

Marcelo Leandro Bueno
Comparison fields: 5 of 83
  • Nature and Landscape Conservation 735
  • Ecology, Evolution, Behavior and Systematics 669
  • Ecological Modeling 280
  • Global and Planetary Change 238
  • Ecology 220
Replace Danilo M. Neves with:
Danilo M. Neves Brazil
Paul Gioia Australia
Laura Warman Australia
Jasper A. Slingsby South Africa
Carlos Iván Espinosa Ecuador
Rolland Douzet France
Thomas Ibanez France
José Eduardo Lahoz da Silva Ribeiro Brazil
Ian May United Kingdom
Jörg Perner Germany
Marcelo Leandro Bueno relative to Danilo M. Neves Brazil Danilo M. Neves's profile →
Citations per field
00.5×1.5×
Danilo M. Neves · 1×
Citations per year

Countries citing papers authored by Marcelo Leandro Bueno

Since Specialization
Citations

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

Fields of papers citing papers by Marcelo Leandro Bueno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcelo Leandro Bueno. 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 Marcelo Leandro Bueno. The network helps show where Marcelo Leandro Bueno may publish in the future.

Co-authorship network of co-authors of Marcelo Leandro Bueno

This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo Leandro Bueno. A scholar is included among the top collaborators of Marcelo Leandro Bueno 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 Marcelo Leandro Bueno. Marcelo Leandro Bueno 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 4
2 0
3 5
4 1
5 4
6 29
7 7
8 14
9 17
10 4
11 13
12 36
13 31
14 8
15 18
16 10
17
Fungi associated to commercial seed of braquiaria grass.
0
18 6
19
Comparação Entre Duas Formações Vegetacionais Arbóreas do Parque Estadual do Prosa-PEP, Campo Grande, MS
3
20 16

About Marcelo Leandro Bueno

Marcelo Leandro Bueno is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (39 papers), Plant and animal studies (36 papers) and Species Distribution and Climate Change (17 papers). The work is most often cited by research in Ecological Modeling (280 citations), Nature and Landscape Conservation (735 citations) and Ecology, Evolution, Behavior and Systematics (669 citations). Marcelo Leandro Bueno has collaborated with scholars based in Brazil, United Kingdom and Belgium. Frequent co-authors include Kyle G. Dexter, Ary Teixeira de Oliveira‐Filho, Danilo M. Neves, R. Toby Pennington, Vanessa Pontara, Pedro Luiz Silva de Miranda, J. A. Ratter, Vanessa Leite Rezende, Rafaela Campostrini Forzza and João Augusto Alves Meira‐Neto. Their work appears in journals such as Journal of Ecology, Oecologia and Plant and Soil.

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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