Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
When enough should be enough: Improving the use of current agricultural lands could meet production demands and spare natural habitats in Brazil
2014343 citationsBernardo B. N. Strassburg, Agnieszka E. Latawiec et al.Global Environmental Changeprofile →
Climate change responses benefit from a global food system approach
2020290 citationsCynthia Rosenzweig, Cheikh Mbow et al.Nature Foodprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of L. G. Barioni'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 L. G. Barioni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. G. Barioni more than expected).
This network shows the impact of papers produced by L. G. Barioni. 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 L. G. Barioni. The network helps show where L. G. Barioni may publish in the future.
Co-authorship network of co-authors of L. G. Barioni
This figure shows the co-authorship network connecting the top 25 collaborators of L. G. Barioni.
A scholar is included among the top collaborators of L. G. Barioni 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 L. G. Barioni. L. G. Barioni is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rosenzweig, Cynthia, Cheikh Mbow, L. G. Barioni, et al.. (2020). Climate change responses benefit from a global food system approach. Nature Food. 1(2). 94–97.290 indexed citations breakdown →
Strassburg, Bernardo B. N., Agnieszka E. Latawiec, L. G. Barioni, et al.. (2014). When enough should be enough: Improving the use of current agricultural lands could meet production demands and spare natural habitats in Brazil. Global Environmental Change. 28. 84–97.343 indexed citations breakdown →
13.
Barioni, L. G., et al.. (2013). Running head: Computer models for beef systems.. 32(1). 77–86.1 indexed citations
14.
Carvalho, Paulo César de Faccio, et al.. (2013). Environmental challenges of pastoral farming systems in tropical areas.. Lume (Universidade Federal do Rio Grande do Sul).1 indexed citations
15.
Barioni, L. G., T. Z. Albertini, & S. R. de Medeiros. (2011). Modelagem matemática do balanço de gases do efeito estufa na pecuária de corte.. Americanae (AECID Library).2 indexed citations
16.
Barioni, L. G., et al.. (2011). Modelo bioeconômico para avaliação ex ante de investimentos em sistemas de produção de bovinos de corte a pasto no cerrado.. infoteca-e (Brazilian Agricultural Research Corporation).
17.
Quirino, Célia Raquel, et al.. (2010). Estudo da evolução das biotécnicas de Transferência de Embriões e Fertilização in vitro na raça Nelore no Brasil. SHILAP Revista de lepidopterología. 67(1). 1–8.
Barioni, L. G., et al.. (2007). Deterministic and stochastic models to embryo transfer programs in bovine. Hispana. 15(3). 107–113.1 indexed citations
20.
Júnior, G. B. Martha, et al.. (2003). Área do piquete e taxa de lotação no pastejo rotacionado.. infoteca-e (Brazilian Agricultural Research Corporation).5 indexed citations
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.