Leonardo Rocha Souza

913 total citations · 1 hit paper
19 papers, 557 citations indexed

About

Leonardo Rocha Souza is a scholar working on Economics and Econometrics, Finance and Ecology. According to data from OpenAlex, Leonardo Rocha Souza has authored 19 papers receiving a total of 557 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Economics and Econometrics, 11 papers in Finance and 5 papers in Ecology. Recurrent topics in Leonardo Rocha Souza's work include Financial Risk and Volatility Modeling (10 papers), Market Dynamics and Volatility (8 papers) and Complex Systems and Time Series Analysis (7 papers). Leonardo Rocha Souza is often cited by papers focused on Financial Risk and Volatility Modeling (10 papers), Market Dynamics and Volatility (8 papers) and Complex Systems and Time Series Analysis (7 papers). Leonardo Rocha Souza collaborates with scholars based in United States, Brazil and Italy. Leonardo Rocha Souza's co-authors include Roberta Quadrelli, Xueyao Pan, Philippe Benoit, Alessandro Flammini, Francesco N. Tubiello, Jeremy Smith, Giulia Conchedda, Nathan Wanner, Johannes Gütschow and Erik Mencos Contreras and has published in prestigious journals such as Nature Communications, Energy Economics and Environmental Research Letters.

In The Last Decade

Leonardo Rocha Souza

18 papers receiving 539 citations

Hit Papers

Greenhouse gas emissions from food systems: building the ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leonardo Rocha Souza United States 10 212 172 119 91 76 19 557
Javier Ribal Spain 11 207 1.0× 68 0.4× 172 1.4× 11 0.1× 83 1.1× 41 436
Randy Schnepf United States 12 46 0.2× 175 1.0× 68 0.6× 28 0.3× 11 0.1× 56 586
Chengyuan Wang China 11 51 0.2× 191 1.1× 100 0.8× 6 0.1× 36 0.5× 33 621
Hovav Talpaz Israel 19 48 0.2× 212 1.2× 89 0.7× 19 0.2× 38 0.5× 65 1.1k
Reza Moghaddasi Iran 10 29 0.1× 148 0.9× 71 0.6× 9 0.1× 20 0.3× 53 358
Maria Virginia Vilariño United States 4 32 0.2× 93 0.5× 77 0.6× 5 0.1× 124 1.6× 4 453
Achal Lama India 12 28 0.1× 54 0.3× 41 0.3× 24 0.3× 13 0.2× 51 456
Alok Kumar Pandey India 16 39 0.2× 53 0.3× 40 0.3× 7 0.1× 42 0.6× 77 646
Hilmi Erdal Türkiye 9 493 2.3× 243 1.4× 384 3.2× 7 0.1× 32 0.4× 30 948
Paresh Shirsath India 15 158 0.7× 90 0.5× 163 1.4× 3 0.0× 30 0.4× 28 766

Countries citing papers authored by Leonardo Rocha Souza

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Rocha Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo Rocha Souza. 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 Leonardo Rocha Souza. The network helps show where Leonardo Rocha Souza may publish in the future.

Co-authorship network of co-authors of Leonardo Rocha Souza

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

All Works

19 of 19 papers shown
1.
Steel, E. Ashley, Oliver Stoner, S. Simon, et al.. (2025). Global wood fuel production estimates and implications. Nature Communications. 16(1). 6227–6227.
2.
Tubiello, Francesco N., Kevin Karl, Alessandro Flammini, et al.. (2022). Pre- and post-production processes increasingly dominate greenhouse gas emissions from agri-food systems. Earth system science data. 14(4). 1795–1809. 113 indexed citations
3.
Flammini, Alessandro, Xueyao Pan, Francesco N. Tubiello, et al.. (2022). Emissions of greenhouse gases from energy use in agriculture, forestry and fisheries: 1970–2019. Earth system science data. 14(2). 811–821. 39 indexed citations
4.
Flammini, Alessandro, Xueyao Pan, Francesco N. Tubiello, et al.. (2021). Emissions of greenhouse gases from energy use in agriculture, forestry and fisheries: 1970–2019. 6 indexed citations
5.
Tubiello, Francesco N., Kevin Karl, Alessandro Flammini, et al.. (2021). Pre- and post-production processes along supply chains increasingly dominate GHG emissions from agri-food systems globally and in most countries. 17 indexed citations
6.
Tubiello, Francesco N., Cynthia Rosenzweig, Giulia Conchedda, et al.. (2021). Greenhouse gas emissions from food systems: building the evidence base. Environmental Research Letters. 16(6). 65007–65007. 208 indexed citations breakdown →
7.
Souza, Leonardo Rocha. (2008). Why Aggregate Long Memory Time Series?. Econometric Reviews. 27(1-3). 298–316. 9 indexed citations
8.
Souza, Leonardo Rocha. (2007). Temporal Aggregation and Bandwidth selection in estimating long memory. Journal of Time Series Analysis. 28(5). 701–722. 15 indexed citations
9.
Souza, Leonardo Rocha, Jeremy Smith, & Reinaldo Castro Souza. (2006). Convex combinations of long memory estimates from different sampling rates. Computational Statistics. 21(3-4). 399–413. 1 indexed citations
10.
Souza, Leonardo Rocha, et al.. (2006). Electricity rationing and public response. Energy Economics. 29(2). 296–311. 7 indexed citations
11.
Souza, Leonardo Rocha, et al.. (2006). Forecasting electricity demand using generalized long memory. International Journal of Forecasting. 22(1). 17–28. 64 indexed citations
12.
Medeiros, Marcelo C., et al.. (2006). Modelando e Prevendo a Volatilidade dos Retornos de Ativos Brasileiros: uma Abordagem da Variância Realizada. Brazilian Review of Finance. 4(1). 55–77. 7 indexed citations
13.
Souza, Leonardo Rocha. (2005). A Note on Chambers' 'Long Memory and Aggregation in Macroeconomic Time Series'. SSRN Electronic Journal. 1 indexed citations
14.
Souza, Leonardo Rocha. (2005). A NOTE ON CHAMBERS'S “LONG MEMORY AND AGGREGATION IN MACROECONOMIC TIME SERIES”*. International Economic Review. 46(3). 1059–1062. 23 indexed citations
15.
Souza, Leonardo Rocha, Álvaro Veiga, & Marcelo C. Medeiros. (2005). Evaluating the Forecasting Performance of GARCH Models Using White’s Reality Check. Brazilian Review of Econometrics. 25(1). 2 indexed citations
16.
Souza, Leonardo Rocha & Jeremy Smith. (2003). Effects of temporal aggregation on estimates and forecasts of fractionally integrated processes: a Monte-Carlo study. International Journal of Forecasting. 20(3). 487–502. 20 indexed citations
17.
Souza, Leonardo Rocha. (2003). Spectral properties of temporally aggregated long memory processes. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 5 indexed citations
18.
Souza, Leonardo Rocha & Jeremy Smith. (2002). Bias in the memory parameter for different sampling rates. International Journal of Forecasting. 18(2). 299–313. 17 indexed citations
19.
Souza, Reinaldo Castro, et al.. (2000). Estimação do parâmetro "d " em modelos arfima. Pesquisa Operacional. 20(1). 73–82. 3 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.

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