Neucimar J. Leite

2.3k total citations
51 papers, 1.5k citations indexed

About

Neucimar J. Leite is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Neucimar J. Leite has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 9 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Neucimar J. Leite's work include Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Video Analysis and Summarization (12 papers). Neucimar J. Leite is often cited by papers focused on Image Retrieval and Classification Techniques (14 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Video Analysis and Summarization (12 papers). Neucimar J. Leite collaborates with scholars based in Brazil, Peru and France. Neucimar J. Leite's co-authors include Ricardo Machado Leite de Barros, Pascual J. Figueroa, Ricardo da Silva Torres, Jurandy Almeida, Rodrigo Minetto, Milton Shoiti Misuta, Rafael ̈Pombo Menezes, Leyza Baldo Dorini, Sérgio Augusto Cunha and Felipe Arruda Moura and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Neucimar J. Leite

50 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neucimar J. Leite Brazil 18 729 480 211 197 137 51 1.5k
Håvard D. Johansen Norway 13 424 0.6× 61 0.1× 69 0.3× 68 0.3× 36 0.3× 54 1.1k
Samuel Ortega Spain 28 210 0.3× 416 0.9× 800 3.8× 14 0.1× 48 0.4× 120 2.2k
Stuart Morgan Australia 17 212 0.3× 546 1.1× 221 1.0× 53 0.3× 266 1.9× 38 874
Allan Pinto Brazil 12 484 0.7× 68 0.1× 54 0.3× 480 2.4× 23 0.2× 31 767
Vladan Papić Croatia 12 184 0.3× 85 0.2× 91 0.4× 36 0.2× 47 0.3× 83 495
Satoshi Iizuka Japan 14 721 1.0× 117 0.2× 92 0.4× 18 0.1× 4 0.0× 39 1.0k
A. Hunt Australia 20 37 0.1× 111 0.2× 50 0.2× 39 0.2× 5 0.0× 77 1.2k
Boran Şekeroğlu Cyprus 16 171 0.2× 23 0.0× 56 0.3× 27 0.1× 34 0.2× 51 923

Countries citing papers authored by Neucimar J. Leite

Since Specialization
Citations

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

Fields of papers citing papers by Neucimar J. Leite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neucimar J. Leite. 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 Neucimar J. Leite. The network helps show where Neucimar J. Leite may publish in the future.

Co-authorship network of co-authors of Neucimar J. Leite

This figure shows the co-authorship network connecting the top 25 collaborators of Neucimar J. Leite. A scholar is included among the top collaborators of Neucimar J. Leite 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 Neucimar J. Leite. Neucimar J. Leite 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.
Falcão, Alexandre X., et al.. (2018). The Residual Center of Mass: An Image Descriptor for the Diagnosis of Alzheimer Disease. Neuroinformatics. 17(2). 307–321. 7 indexed citations
2.
Leite, Neucimar J., et al.. (2016). A New Framework for Quality Assessment of High-Resolution Fingerprint Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(10). 1905–1917. 13 indexed citations
3.
Dorini, Leyza Baldo & Neucimar J. Leite. (2013). A SCALE-SPACE TOGGLE OPERATOR FOR IMAGE TRANSFORMATIONS. International Journal of Image and Graphics. 13(4). 1350022–1350022.
4.
Almeida, Jurandy, Neucimar J. Leite, & Ricardo da Silva Torres. (2012). Online video summarization on compressed domain. Journal of Visual Communication and Image Representation. 24(6). 729–738. 49 indexed citations
5.
Almeida, Jurandy, et al.. (2011). Towards a Formal Theory for Complex Objects and Content-Based Image Retrieval. Cadernos de Linguística e Teoria da Literatura (Universidade Federal de Minas Gerais). 2(3). 321–336. 1 indexed citations
6.
Torres, Ricardo da Silva, et al.. (2011). Reusing a compound-based infrastructure for searching video stories. 3. 222–227. 1 indexed citations
7.
Almeida, Jurandy, Eduardo Valle, Ricardo da Silva Torres, & Neucimar J. Leite. (2010). DAHC-tree: An Effective Index for Approximate Search in High-Dimensional Metric Spaces. Journal of Information and Data Management. 1(3). 375–375. 7 indexed citations
8.
Almeida, Jurandy, Ricardo da Silva Torres, & Neucimar J. Leite. (2010). Rapid Video Summarization on Compressed Video. 113–120. 20 indexed citations
9.
Almeida, Jurandy, et al.. (2010). Estimation of Camera Parameters in Video Sequences with a Large Amount of Scene Motion. 8 indexed citations
10.
Silvatti, Amanda Piaia, et al.. (2009). NON-LINEAR CAMERA CALIBRATION FOR 3D RECONSTRUCTION USING STRAIGHT LINE PLANE OBJECT. ISBS - Conference Proceedings Archive. 1(1). 4 indexed citations
11.
Metze, Konradin, Irene Lorand‐Metze, Neucimar J. Leite, & Randall L. Adam. (2009). Goodness-of-Fit of the Fractal Dimension as a Prognostic Factor. Analytical Cellular Pathology. 31(6). 503–504. 3 indexed citations
12.
Montoya‐Zegarra, Javier A., Neucimar J. Leite, & Ricardo da Silva Torres. (2008). Wavelet-based fingerprint image retrieval. Journal of Computational and Applied Mathematics. 227(2). 294–307. 34 indexed citations
13.
Barros, Ricardo Machado Leite de, Milton Shoiti Misuta, Rafael ̈Pombo Menezes, et al.. (2007). ANALYSIS OF THE DISTANCES COVERED BY FIRST DIVISION BRAZILIAN SOCCER PLAYERS OBTAINED WITH AN AUTOMATIC TRACKING METHOD. SHILAP Revista de lepidopterología. 115 indexed citations
14.
Dorini, Leyza Baldo & Neucimar J. Leite. (2007). A scale-space toggle operator for morphological segmentation. Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research). 101–112. 16 indexed citations
15.
Dorini, Leyza Baldo, Rodrigo Minetto, & Neucimar J. Leite. (2007). White blood cell segmentation using morphological operators and scale-space analysis. 14 indexed citations
16.
Leite, Neucimar J. & Leyza Baldo Dorini. (2006). A scaled morphological toggle operator for image transformations. 2. 323–330. 9 indexed citations
17.
Adam, Randall L., et al.. (2006). The Fractal Dimension of Nuclear Chromatin as a Prognostic Factor in Acute Precursor B Lymphoblastic Leukemia. Analytical Cellular Pathology. 28(1-2). 55–59. 39 indexed citations
18.
Figueroa, Pascual J., Neucimar J. Leite, & Ricardo Machado Leite de Barros. (2003). A flexible software for tracking of markers used in human motion analysis. Computer Methods and Programs in Biomedicine. 72(2). 155–165. 160 indexed citations
19.
Leite, Neucimar J., et al.. (1999). Morphological scale-space theory for segmentation problems.. 364–368. 2 indexed citations
20.
Leite, Neucimar J., et al.. (1996). A morphological algorithm for photomosaicking. European Signal Processing Conference. 1–4. 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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