Paulo A. V. Miranda

1.5k total citations
60 papers, 753 citations indexed

About

Paulo A. V. Miranda is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Paulo A. V. Miranda has authored 60 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Neurology. Recurrent topics in Paulo A. V. Miranda's work include Medical Image Segmentation Techniques (48 papers), Advanced Neural Network Applications (28 papers) and Advanced Image and Video Retrieval Techniques (23 papers). Paulo A. V. Miranda is often cited by papers focused on Medical Image Segmentation Techniques (48 papers), Advanced Neural Network Applications (28 papers) and Advanced Image and Video Retrieval Techniques (23 papers). Paulo A. V. Miranda collaborates with scholars based in Brazil, United States and Moldova. Paulo A. V. Miranda's co-authors include Alexandre X. Falcão, Jayaram K. Udupa, Krzysztof Chris Ciesielski, Fábio A. M. Cappabianco, Thiago V. Spina, Ricardo da Silva Torres, Felipe P. G. Bergo, Fernanda Andaló, Jaime S. Ide and Guilherme Ruppert and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Paulo A. V. Miranda

59 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paulo A. V. Miranda Brazil 17 645 86 83 71 57 60 753
C. Sanz Spain 13 303 0.5× 99 1.2× 59 0.7× 31 0.4× 93 1.6× 77 596
Eduardo Juárez Spain 12 237 0.4× 102 1.2× 60 0.7× 35 0.5× 96 1.7× 79 551
Yonggang Shi China 10 378 0.6× 80 0.9× 21 0.3× 40 0.6× 72 1.3× 30 513
Shaveta Arora India 9 290 0.4× 113 1.3× 50 0.6× 105 1.5× 120 2.1× 33 459
Arnav Bhavsar India 14 441 0.7× 184 2.1× 32 0.4× 273 3.8× 158 2.8× 104 710
Jiangxiong Fang China 11 270 0.4× 82 1.0× 31 0.4× 117 1.6× 84 1.5× 33 475
Pengju Liu China 6 606 0.9× 70 0.8× 31 0.4× 77 1.1× 341 6.0× 9 761
Huan Xu China 3 372 0.6× 56 0.7× 17 0.2× 60 0.8× 112 2.0× 4 478
Feihu Qi China 12 585 0.9× 145 1.7× 31 0.4× 96 1.4× 75 1.3× 48 726
Qi Ge China 15 365 0.6× 48 0.6× 25 0.3× 52 0.7× 143 2.5× 64 562

Countries citing papers authored by Paulo A. V. Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Paulo A. V. Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paulo A. V. Miranda. 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 Paulo A. V. Miranda. The network helps show where Paulo A. V. Miranda may publish in the future.

Co-authorship network of co-authors of Paulo A. V. Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of Paulo A. V. Miranda. A scholar is included among the top collaborators of Paulo A. V. Miranda 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 Paulo A. V. Miranda. Paulo A. V. Miranda 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.
Miranda, Paulo A. V., et al.. (2023). Differential Oriented Image Foresting Transform and Its Applications to Support High-level Priors for Object Segmentation. Journal of Mathematical Imaging and Vision. 65(5). 802–817. 1 indexed citations
2.
Ciesielski, Krzysztof Chris, et al.. (2021). Efficient Hierarchical Multi-Object Segmentation in Layered Graphs. SHILAP Revista de lepidopterología. 5(1). 21–42. 2 indexed citations
3.
Guimarães, Silvio Jamil F., et al.. (2020). Efficient hierarchical graph partitioning for image segmentation by optimum oriented cuts. Pattern Recognition Letters. 131. 185–192. 5 indexed citations
4.
Miranda, Paulo A. V., et al.. (2020). Optimum Cuts in Graphs by General Fuzzy Connectedness with Local Band Constraints. Journal of Mathematical Imaging and Vision. 62(5). 659–672. 2 indexed citations
5.
Cappabianco, Fábio A. M., et al.. (2019). A General and Balanced Region-Based Metric for Evaluating Medical Image Segmentation Algorithms. 37. 1525–1529. 7 indexed citations
6.
Cappabianco, Fábio A. M., et al.. (2017). Extending the Differential Image Foresting Transform to Root-Based Path-Cost Functions with Application to Superpixel Segmentation. UNIFESP Institutional Repository (Universidade Federal de São Paulo). 23. 7–14. 2 indexed citations
7.
Cappabianco, Fábio A. M., Paulo A. V. Miranda, & Jayaram K. Udupa. (2017). A critical analysis of the methods of evaluating MRI brain segmentation algorithms. UNIFESP Institutional Repository (Universidade Federal de São Paulo). 3894–3898. 5 indexed citations
8.
Torres, Ricardo da Silva, et al.. (2016). TSS & TSB: Tensor scale descriptors within circular sectors for fast shape retrieval. Pattern Recognition Letters. 83. 303–311. 6 indexed citations
9.
Miranda, Paulo A. V., et al.. (2016). Oriented Image Foresting Transform Segmentation: Connectivity Constraints with Adjustable Width. 289–296. 14 indexed citations
10.
Miranda, Paulo A. V., et al.. (2015). Oriented relative fuzzy connectedness: theory, algorithms, and its applications in hybrid image segmentation methods. EURASIP Journal on Image and Video Processing. 2015(1). 13 indexed citations
11.
Ciesielski, Krzysztof Chris, Paulo A. V. Miranda, Alexandre X. Falcão, & Jayaram K. Udupa. (2013). Joint graph cut and relative fuzzy connectedness image segmentation algorithm. Medical Image Analysis. 17(8). 1046–1057. 31 indexed citations
12.
Zhuge, Ying, Jayaram K. Udupa, Krzysztof Chris Ciesielski, et al.. (2012). GPU-based iterative relative fuzzy connectedness image segmentation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8316. 831604–831604. 3 indexed citations
13.
Spina, Thiago V., Paulo A. V. Miranda, & Alexandre X. Falcão. (2012). INTELLIGENT UNDERSTANDING OF USER INTERACTION IN IMAGE SEGMENTATION. International Journal of Pattern Recognition and Artificial Intelligence. 26(2). 1265001–1265001. 12 indexed citations
14.
Miranda, Paulo A. V., Alexandre X. Falcão, & Thiago V. Spina. (2012). Riverbed: A Novel User-Steered Image Segmentation Method Based on Optimum Boundary Tracking. IEEE Transactions on Image Processing. 21(6). 3042–3052. 28 indexed citations
15.
Miranda, Paulo A. V., Alexandre X. Falcão, & Thiago V. Spina. (2011). The riverbed approach for user-steered image segmentation. 4245. 3133–3136. 3 indexed citations
16.
Ciesielski, Krzysztof Chris, Jayaram K. Udupa, Alexandre X. Falcão, & Paulo A. V. Miranda. (2011). Comparison of fuzzy connectedness and graph cut segmentation algorithms. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7962. 796203–796203. 16 indexed citations
17.
Miranda, Paulo A. V., et al.. (2010). How to Complete Any Segmentation Process Interactively via Image Foresting Transform. 2. 309–316. 8 indexed citations
18.
Miranda, Paulo A. V., Alexandre X. Falcão, Anderson Rocha, & Felipe P. G. Bergo. (2008). Object delineation by kappa-connected components. EURASIP Journal on Advances in Signal Processing. 1 indexed citations
19.
Papa, João Paulo, Alexandre X. Falcão, Paulo A. V. Miranda, Celso Tetsuo Nagase Suzuki, & Nelson D. A. Mascarenhas. (2007). Design of robust pattern classifiers based on optimum-path forests.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 337–348. 9 indexed citations
20.
Andaló, Fernanda, Paulo A. V. Miranda, Ricardo da Silva Torres, & Alexandre X. Falcão. (2007). A New Shape Descriptor Based on Tensor Scale.. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 141–152. 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.

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