Eric K. Tokuda

732 total citations
13 papers, 472 citations indexed

About

Eric K. Tokuda is a scholar working on Computer Vision and Pattern Recognition, Building and Construction and Urban Studies. According to data from OpenAlex, Eric K. Tokuda has authored 13 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Building and Construction and 3 papers in Urban Studies. Recurrent topics in Eric K. Tokuda's work include Urban Design and Spatial Analysis (3 papers), Image Enhancement Techniques (3 papers) and Land Use and Ecosystem Services (3 papers). Eric K. Tokuda is often cited by papers focused on Urban Design and Spatial Analysis (3 papers), Image Enhancement Techniques (3 papers) and Land Use and Ecosystem Services (3 papers). Eric K. Tokuda collaborates with scholars based in Brazil, United States and Peru. Eric K. Tokuda's co-authors include Wenqi Ren, Zhangyang Wang, Iago Breno Araujo, Xiaochun Cao, Siyuan Li, Roberto Hirata, Xiaojie Guo, Jiawan Zhang, Hélio Pedrini and Anderson Rocha and has published in prestigious journals such as International Journal of Computer Vision, BMC Plant Biology and The European Physical Journal B.

In The Last Decade

Eric K. Tokuda

13 papers receiving 459 citations

Peers

Eric K. Tokuda
N. Shobha Rani India
Nidhal K. El Abbadi Iraq
Ruiping Liu China
James Gabriel United States
Yuanhao Guo China
N Manohar India
Julien Mille France
Weijia Wu China
Jing Zhong China
N. Shobha Rani India
Eric K. Tokuda
Citations per year, relative to Eric K. Tokuda Eric K. Tokuda (= 1×) peers N. Shobha Rani

Countries citing papers authored by Eric K. Tokuda

Since Specialization
Citations

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

Fields of papers citing papers by Eric K. Tokuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric K. Tokuda. 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 Eric K. Tokuda. The network helps show where Eric K. Tokuda may publish in the future.

Co-authorship network of co-authors of Eric K. Tokuda

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

All Works

13 of 13 papers shown
1.
Tokuda, Eric K., César H. Comin, & Luciano da Fontoura Costa. (2022). Impact of the topology of urban streets on mobility optimization. Journal of Statistical Mechanics Theory and Experiment. 2022(10). 103204–103204. 1 indexed citations
2.
Tokuda, Eric K., et al.. (2022). Identification of city motifs: a method based on modularity and similarity between hierarchical features of urban networks. Journal of Physics Complexity. 3(4). 45003–45003. 3 indexed citations
3.
Tokuda, Eric K.. (2022). Revisiting agglomerative clustering. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 48 indexed citations
4.
Costa, Luciano da Fontoura & Eric K. Tokuda. (2022). A similarity approach to cities and features. The European Physical Journal B. 95(9). 7 indexed citations
5.
Tokuda, Eric K., et al.. (2022). 17K-Graffiti: Spatial and Crime Data Assessments in São Paulo City. 968–975. 4 indexed citations
6.
Li, Siyuan, Wenqi Ren, Iago Breno Araujo, et al.. (2021). A Comprehensive Benchmark Analysis of Single Image Deraining: Current Challenges and Future Perspectives. International Journal of Computer Vision. 129(4). 1301–1322. 50 indexed citations
7.
Tokuda, Eric K., Henrique Ferraz de Arruda, César H. Comin, et al.. (2021). Spatial distribution of graffiti types: a complex network approach. The European Physical Journal B. 94(9). 2 indexed citations
8.
Li, Siyuan, Iago Breno Araujo, Wenqi Ren, et al.. (2019). Single Image Deraining: A Comprehensive Benchmark Analysis. 3833–3842. 239 indexed citations
9.
Tokuda, Eric K., Roberto M. César, & Claudio Silva. (2019). Quantifying the Presence of Graffiti in Urban Environments. 1–4. 9 indexed citations
10.
Silva, Claudio, Juliana Freire, Fábio Miranda, et al.. (2019). Integrated Analytics and Visualization for Multi-modality Transportation Data. 1 indexed citations
11.
Tokuda, Eric K., et al.. (2018). A NOVEL SEMI-SUPERVISED DETECTION APPROACH WITH WEAK ANNOTATION. 112. 129–132. 4 indexed citations
12.
Tokuda, Eric K., Hélio Pedrini, & Anderson Rocha. (2013). Computer generated images vs. digital photographs: A synergetic feature and classifier combination approach. Journal of Visual Communication and Image Representation. 24(8). 1276–1292. 41 indexed citations
13.
Jorge, Érika Cristina, Marcelo Falsarella Carazzolle, Eric K. Tokuda, et al.. (2011). An EST-based analysis identifies new genes and reveals distinctive gene expression features of Coffea arabica and Coffea canephora. BMC Plant Biology. 11(1). 30–30. 63 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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