Marcos Lage

732 total citations
45 papers, 426 citations indexed

About

Marcos Lage is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing. According to data from OpenAlex, Marcos Lage has authored 45 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 13 papers in Computer Graphics and Computer-Aided Design and 12 papers in Signal Processing. Recurrent topics in Marcos Lage's work include Data Visualization and Analytics (21 papers), Computer Graphics and Visualization Techniques (13 papers) and Data Management and Algorithms (12 papers). Marcos Lage is often cited by papers focused on Data Visualization and Analytics (21 papers), Computer Graphics and Visualization Techniques (13 papers) and Data Management and Algorithms (12 papers). Marcos Lage collaborates with scholars based in Brazil, United States and Austria. Marcos Lage's co-authors include Claudio Silva, Harish Doraiswamy, Fábio Miranda, Hélio Lopes, Nivan Ferreira, Thomas Lewiner, Bruno Gonçalves, Kai Zhao, Fabiano Petronetto and Huy T. Vo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and ACM Transactions on Graphics.

In The Last Decade

Marcos Lage

37 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcos Lage Brazil	11	217	84	61	59	57	45	426
Fábio Miranda United States	12	173 0.8×	143 1.7×	64 1.0×	69 1.2×	86 1.5×	35	404
Jan‐Henrik Haunert Germany	16	246 1.1×	70 0.8×	274 4.5×	53 0.9×	95 1.7×	95	713
E. Verbree Netherlands	13	82 0.4×	33 0.4×	66 1.1×	36 0.6×	243 4.3×	70	537
Tim Tutenel Netherlands	14	281 1.3×	13 0.2×	35 0.6×	67 1.1×	125 2.2×	24	730
R.M. Smelik Netherlands	13	269 1.2×	11 0.1×	34 0.6×	31 0.5×	125 2.2×	23	659
Paweł Bogusławski United Kingdom	15	81 0.4×	27 0.3×	29 0.5×	16 0.3×	262 4.6×	37	484
Yanting Zhang China	12	112 0.5×	49 0.6×	30 0.5×	24 0.4×	32 0.6×	49	546
Francisco Ramos Spain	9	73 0.3×	26 0.3×	11 0.2×	48 0.8×	45 0.8×	29	368
José M. Noguera Spain	7	88 0.4×	38 0.5×	35 0.6×	16 0.3×	12 0.2×	17	345
Kye-Hyun Kim South Korea	9	84 0.4×	35 0.4×	56 0.9×	32 0.5×	20 0.4×	29	365

Countries citing papers authored by Marcos Lage

Since Specialization

Citations

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

Fields of papers citing papers by Marcos Lage

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcos Lage

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Oliveira, Daniel de, et al.. (2024). Curio: A Dataflow-Based Framework for Collaborative Urban Visual Analytics. IEEE Transactions on Visualization and Computer Graphics. 31(1). 1224–1234. 1 indexed citations

Miranda, Fábio, Milena Vuckovic, Filip Biljecki, et al.. (2024). The State of the Art in Visual Analytics for 3D Urban Data. Computer Graphics Forum. 43(3). 8 indexed citations

Lage, Marcos, et al.. (2023). Tinycubes: A modular technology for interactive visual analysis of historical and continuously updated spatiotemporal data. Future Generation Computer Systems. 143. 378–391.

Lage, Marcos, et al.. (2023). Uso de Grafos de Proveniência para Análise Temporal de Uso do Solo em Centros Urbanos: uma Abordagem Prática. 457–462.

Frota, Yuri, et al.. (2023). Pluv-Web: um Gateway Científico Orientado a Dados para Análise e Monitoramento de Chuvas na Cidade de Niterói. 108–113.

Gama, Rogério Martins Saldanha da, et al.. (2023). Visual Analytics Using Heterogeneous Urban Data. 35. 1–6.

Lage, Marcos, et al.. (2023). High-Level Grammars for Visualization and Visual Analytics. 270–275.

Oliveira, Daniel de, et al.. (2023). PROWIS: A Visual Approach for Building, Managing, and Analyzing Weather Simulation Ensembles at Runtime. IEEE Transactions on Visualization and Computer Graphics. 30(1). 738–747. 5 indexed citations

Cataldi, Márcio, et al.. (2022). Visualizing simulation ensembles of extreme weather events. Computers & Graphics. 104. 162–172. 10 indexed citations

10.

Lage, Marcos, et al.. (2022). Beyond Click-and-View: a Comparative Study of Data Management Approaches for Interactive Visualization. Journal of Information and Data Management. 13(3).

11.

Chen, Shaoyu, Fábio Miranda, Nivan Ferreira, et al.. (2021). UrbanRama: Navigating Cities in Virtual Reality. IEEE Transactions on Visualization and Computer Graphics. 28(12). 4685–4699. 20 indexed citations

12.

Miranda, Fábio, et al.. (2020). Urban Mosaic: Visual Exploration of Streetscapes Using Large-Scale Image Data. arXiv (Cornell University). 3376399. 4 indexed citations

13.

Miranda, Fábio, et al.. (2018). Shadow Accrual Maps: Efficient Accumulation of City-Scale Shadows Over Time. IEEE Transactions on Visualization and Computer Graphics. 25(3). 1559–1574. 29 indexed citations

14.

Lage, Marcos, et al.. (2018). Future Internet and Scalability Techniques in Mobile Crowdsourcing. 77–84. 1 indexed citations

15.

Doraiswamy, Harish, Juliana Freire, Marcos Lage, Fábio Miranda, & Claudio Silva. (2018). Spatio-Temporal Urban Data Analysis: A Visual Analytics Perspective. IEEE Computer Graphics and Applications. 38(5). 26–35. 20 indexed citations

16.

Rocha, Antônio A. de A., et al.. (2017). Extracting Bus Lines Services Information from GPS Registries. 389–396. 2 indexed citations

17.

Lage, Marcos, Luiz Fernando Martha, J. P. Moitinho de Almeida, & Hélio Lopes. (2015). IBHM: index-based data structures for 2D and 3D hybrid meshes. Engineering With Computers. 33(4). 727–744. 4 indexed citations

18.

Petronetto, Fabiano, Afonso Paiva, Marcos Lage, et al.. (2009). Meshless Helmholtz-Hodge Decomposition. IEEE Transactions on Visualization and Computer Graphics. 16(2). 338–349. 30 indexed citations

19.

Lage, Marcos, et al.. (2007). Regularized implicit surface reconstruction from points and normals. Journal of the Brazilian Computer Society. 13(4). 7–15. 2 indexed citations

20.

Lage, Marcos, Fabiano Petronetto, Afonso Paiva, et al.. (2006). Vector field reconstruction from sparse samples with applications. 297–306. 10 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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