Luís Carvalho

1.4k total citations · 1 hit paper
29 papers, 883 citations indexed

About

Luís Carvalho is a scholar working on Molecular Biology, Environmental Engineering and Ecology. According to data from OpenAlex, Luís Carvalho has authored 29 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Environmental Engineering and 4 papers in Ecology. Recurrent topics in Luís Carvalho's work include Glycosylation and Glycoproteins Research (4 papers), Economic and Environmental Valuation (3 papers) and Building Energy and Comfort Optimization (3 papers). Luís Carvalho is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Economic and Environmental Valuation (3 papers) and Building Energy and Comfort Optimization (3 papers). Luís Carvalho collaborates with scholars based in United States, United Kingdom and Brazil. Luís Carvalho's co-authors include Damien Sulla‐Menashe, Alessandro Baccini, Wayne Walker, Mary Farina, R. A. Houghton, Charles E. Lawrence, Joseph Zaia, Joshua Klein, Nicola Neretti and M. A. Friedl and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Luís Carvalho

27 papers receiving 856 citations

Hit Papers

Tropical forests are a net carbon source based on abovegr... 2017 2026 2020 2023 2017 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luís Carvalho United States 11 422 189 178 164 148 29 883
Qiao Chen China 20 273 0.6× 265 1.4× 169 0.9× 131 0.8× 210 1.4× 78 1.0k
Huichun Li Taiwan 18 372 0.9× 219 1.2× 304 1.7× 64 0.4× 54 0.4× 59 1.3k
E. James Harner United States 18 216 0.5× 247 1.3× 168 0.9× 101 0.6× 55 0.4× 49 1.4k
Xiaojing Tang United States 15 338 0.8× 226 1.2× 84 0.5× 24 0.1× 192 1.3× 40 747
Fabrizio Cartenì Italy 18 369 0.9× 218 1.2× 268 1.5× 322 2.0× 58 0.4× 55 1.2k
Kunihiko Yoshino Japan 19 533 1.3× 765 4.0× 88 0.5× 63 0.4× 331 2.2× 70 1.4k
Marco Scotti Italy 19 308 0.7× 421 2.2× 146 0.8× 96 0.6× 110 0.7× 63 1.0k
Fang Huang China 17 446 1.1× 284 1.5× 32 0.2× 40 0.2× 179 1.2× 118 1.1k

Countries citing papers authored by Luís Carvalho

Since Specialization
Citations

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

Fields of papers citing papers by Luís Carvalho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luís Carvalho. 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 Luís Carvalho. The network helps show where Luís Carvalho may publish in the future.

Co-authorship network of co-authors of Luís Carvalho

This figure shows the co-authorship network connecting the top 25 collaborators of Luís Carvalho. A scholar is included among the top collaborators of Luís Carvalho 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 Luís Carvalho. Luís Carvalho 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
1.
Taylor, Philip, Luís Carvalho, Daniel S. Chapman, et al.. (2025). Understanding the hydrological and landscape connectivity of lakes. Landscape Ecology. 40(7). 140–140.
2.
Klein, Joshua, Luís Carvalho, & Joseph Zaia. (2024). Expanding N-glycopeptide identifications by modeling fragmentation, elution, and glycome connectivity. Nature Communications. 15(1). 6168–6168. 9 indexed citations
3.
Carvalho, Luís, et al.. (2024). Modeling urban crime occurrences via network regularized regression. The Annals of Applied Statistics. 18(4).
4.
Milando, Chad, et al.. (2023). Simulating Energy Use, Indoor Temperatures, and Utility Cost Impacts Amidst a Warming Climate in a Multi-family Housing Model. Journal of Urban Health. 100(6). 1234–1245. 2 indexed citations
5.
Carvalho, Luís, et al.. (2023). Deviance matrix factorization. Electronic Journal of Statistics. 17(2). 3 indexed citations
6.
Shen, Hao, et al.. (2022). Fan Wake Prediction Via Machine Learning. 28th AIAA/CEAS Aeroacoustics 2022 Conference. 1 indexed citations
7.
Hogan, John D., Jiandong Wu, Joshua Klein, et al.. (2021). GAGrank: Software for Glycosaminoglycan Sequence Ranking Using a Bipartite Graph Model. Molecular & Cellular Proteomics. 20. 100093–100093. 3 indexed citations
8.
Baccini, Alessandro, Wayne Walker, Luís Carvalho, et al.. (2020). Aboveground Biomass Change for Amazon Basin, Mexico, and Pantropical Belt, 2003-2016. Oak Ridge National Laboratory Distributed Active Archive Center for Biogeochemical Dynamics. 2 indexed citations
9.
Carvalho, Luís, et al.. (2020). A Dynamic Hierarchical Bayesian Model for the Estimation of day-to-day Origin-destination Flows in Transportation Networks. Networks and Spatial Economics. 20(2). 499–527. 14 indexed citations
10.
Carvalho, Luís, et al.. (2018). Bayesian Inference on Dynamic Linear Models of Day-to-Day Origin-Destination Flows in Transportation Networks. SHILAP Revista de lepidopterología. 2(4). 117–117. 7 indexed citations
11.
Carvalho, Luís, et al.. (2018). An expectation–maximization algorithm for the matrix normal distribution with an application in remote sensing. Journal of Multivariate Analysis. 167. 31–48. 18 indexed citations
12.
Hogan, John D., Joshua Klein, Jiandong Wu, et al.. (2018). Software for Peak Finding and Elemental Composition Assignment for Glycosaminoglycan Tandem Mass Spectra. Molecular & Cellular Proteomics. 17(7). 1448–1456. 23 indexed citations
13.
Klein, Joshua, Luís Carvalho, & Joseph Zaia. (2018). Application of network smoothing to glycan LC-MS profiling. Bioinformatics. 34(20). 3511–3518. 49 indexed citations
14.
Carvalho, Luís, et al.. (2016). Bayesian degree-corrected stochastic blockmodels for community detection. Electronic Journal of Statistics. 10(2). 14 indexed citations
15.
Carvalho, Luís, et al.. (2015). Perturbation Detection Through Modeling of Gene Expression on a Latent Biological Pathway Network: A Bayesian Hierarchical Approach. Journal of the American Statistical Association. 111(513). 73–92. 7 indexed citations
16.
Carvalho, Luís. (2015). An Improved Evaluation of Kolmogorov's Distribution. Journal of Statistical Software. 65(Code Snippet 3). 16 indexed citations
17.
Gomes, Antonio L. C., Thomas Abeel, Matthew Peterson, et al.. (2014). Decoding ChIP-seq with a double-binding signal refines binding peaks to single-nucleotides and predicts cooperative interaction. Genome Research. 24(10). 1686–1697. 16 indexed citations
18.
Johnston, Ian & Luís Carvalho. (2014). A Bayesian hierarchical gene model on latent genotypes for genome-wide association studies. BMC Proceedings. 8(S1). S45–S45. 1 indexed citations
19.
Carvalho, Luís & Charles E. Lawrence. (2008). Centroid estimation in discrete high-dimensional spaces with applications in biology. Proceedings of the National Academy of Sciences. 105(9). 3209–3214. 59 indexed citations
20.
McKee, Adrienne E., Nicola Neretti, Luís Carvalho, et al.. (2007). Exon expression profiling reveals stimulus-mediated exon use in neural cells. Genome biology. 8(8). R159–R159. 34 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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