Rodrigo Nava

829 total citations
28 papers, 311 citations indexed

About

Rodrigo Nava is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Rodrigo Nava has authored 28 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Rodrigo Nava's work include Medical Image Segmentation Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Image Processing Techniques and Applications (5 papers). Rodrigo Nava is often cited by papers focused on Medical Image Segmentation Techniques (5 papers), Image Retrieval and Classification Techniques (5 papers) and Image Processing Techniques and Applications (5 papers). Rodrigo Nava collaborates with scholars based in Mexico, Spain and Czechia. Rodrigo Nava's co-authors include Boris Escalante‐Ramírez, Gabriel Cristóbal, Rafael Redondo, Gloria Bueno, Óscar Déniz, Cristina Pardo, Tomás Escobar Rodríguez, Amelia V. González‐Porto, J. Víctor Marcos and Jan Kybic and has published in prestigious journals such as SHILAP Revista de lepidopterología, Critical Care Medicine and Computers and Electronics in Agriculture.

In The Last Decade

Rodrigo Nava

25 papers receiving 294 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rodrigo Nava Mexico 9 125 83 65 52 38 28 311
Rafael Redondo Spain 11 250 2.0× 267 3.2× 80 1.2× 58 1.1× 58 1.5× 21 516
Jesse Berent United Kingdom 8 131 1.0× 254 3.1× 60 0.9× 43 0.8× 71 1.9× 14 501
Michael Majurski United States 8 83 0.7× 112 1.3× 161 2.5× 31 0.6× 63 1.7× 19 351
Célia A. Zorzo Barcelos Brazil 11 67 0.5× 275 3.3× 18 0.3× 9 0.2× 26 0.7× 40 381
Jose L. Pech-Pacheco Spain 7 137 1.1× 169 2.0× 60 0.9× 66 1.3× 43 1.1× 13 401
Peter Elbau Austria 8 54 0.4× 84 1.0× 73 1.1× 10 0.2× 82 2.2× 17 314
Saad Rizvi China 11 99 0.8× 144 1.7× 21 0.3× 56 1.1× 65 1.7× 20 438
Weiping Lu United Kingdom 13 29 0.2× 45 0.5× 61 0.9× 36 0.7× 92 2.4× 44 475
Tan Ching Ong Singapore 9 34 0.3× 80 1.0× 45 0.7× 2 0.0× 9 0.2× 16 322
Xinwei Wang China 10 29 0.2× 108 1.3× 36 0.6× 15 0.3× 69 1.8× 53 364

Countries citing papers authored by Rodrigo Nava

Since Specialization
Citations

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

Fields of papers citing papers by Rodrigo Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo Nava

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Nava. A scholar is included among the top collaborators of Rodrigo Nava 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 Rodrigo Nava. Rodrigo Nava 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.
Nava, Rodrigo, et al.. (2019). Objective Tire Footprint Segmentation Assessment from High-Speed Videos. Tire Science and Technology. 48(4). 315–328. 1 indexed citations
2.
Nava, Rodrigo, et al.. (2018). A Comparative Study on Discrete Shmaliy Moments and Their Texture-Based Applications. Mathematical Problems in Engineering. 2018. 1–17. 5 indexed citations
3.
Nava, Rodrigo, et al.. (2017). Left ventricle Hermite-based segmentation. Computers in Biology and Medicine. 87. 236–249. 7 indexed citations
4.
Nava, Rodrigo, et al.. (2015). Feature ensemble for quantitative analysis of emphysema in CT imaging. 1–4. 9 indexed citations
5.
Nava, Rodrigo & Jan Kybic. (2015). Supertexton-based segmentation in early Drosophila oogenesis. 2656–2659. 4 indexed citations
6.
Marcos, J. Víctor, Rodrigo Nava, Gabriel Cristóbal, et al.. (2014). Automated pollen identification using microscopic imaging and texture analysis. Micron. 68. 36–46. 66 indexed citations
7.
Nava, Rodrigo, Ernesto Moya-Albor, Boris Escalante‐Ramírez, et al.. (2014). Texture descriptor approaches to level set segmentation in medical images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9138. 91380J–91380J. 5 indexed citations
8.
Nava, Rodrigo, Boris Escalante‐Ramírez, Gabriel Cristóbal, & Raúl San Jośe Estépar. (2014). Extended Gabor approach applied to classification of emphysematous patterns in computed tomography. Medical & Biological Engineering & Computing. 52(4). 393–403. 15 indexed citations
9.
Marcos, J. Víctor, et al.. (2013). A probabilistic model of emphysema based on granulometry analysis. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8922. 892211–892211. 1 indexed citations
10.
Hare, T. M., J. A. Skinner, C. M. Fortezzo, Kenneth L. Tanaka, & Rodrigo Nava. (2012). The Astrogeology Mapping, Remote-Sensing, Cartography, Technology, and Research (MRCTR) GIS Lab. LPI. 2871.
11.
Mateos-Pérez, J.M., Rafael Redondo, Rodrigo Nava, et al.. (2012). Comparative evaluation of autofocus algorithms for a real‐time system for automatic detection of Mycobacterium tuberculosis. Cytometry Part A. 81A(3). 213–221. 38 indexed citations
12.
Redondo, Rafael, Gloria Bueno, Rodrigo Nava, et al.. (2012). Autofocus evaluation for brightfield microscopy pathology. Journal of Biomedical Optics. 17(3). 36008–36008. 53 indexed citations
13.
Nava, Rodrigo, Gabriel Cristóbal, & Boris Escalante‐Ramírez. (2012). A comprehensive study of texture analysis based on local binary patterns. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9 indexed citations
14.
Skinner, J. A. & Rodrigo Nava. (2011). Using Large Crater Clusters to Identify Potential Source Craters on Mars: Technical Methods and Science Applications. Lunar and Planetary Science Conference. 2502. 1 indexed citations
15.
Nava, Rodrigo, Boris Escalante‐Ramírez, & Gabriel Cristóbal. (2011). A comparison study of Gabor and log-Gabor wavelets for texture segmentation. 189–194. 13 indexed citations
16.
Redondo, Rafael, Gloria Bueno, Rodrigo Nava, et al.. (2011). Evaluation of autofocus measures for microscopy images of biopsy and cytology. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8011. 801194–801194. 4 indexed citations
17.
Nava, Rodrigo, J. A. Skinner, & T. M. Hare. (2009). Using Distributional Characteristics of Superposed Large-Scale Crater Clusters as Temporal Indicators of Geologic Processes. LPI. 2530. 1 indexed citations
18.
Nava, Rodrigo, Boris Escalante‐Ramírez, & Gabriel Cristóbal. (2008). A novel multi-focus image fusion algorithm based on feature extraction and wavelets. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7000. 700028–700028. 3 indexed citations
19.
Nava, Rodrigo, et al.. (2006). Una nueva herramienta para la evaluación de la calidad perceptible en imágenes. Critical Care Medicine. 45(7). e745–e746. 1 indexed citations
20.
Valenzuela, Ricardo, et al.. (1996). LA FAMILIA HYMENOCHAETACEAE EN MÉXICO I. EL GÉNERO HYDNOCHAETE BRES.. SHILAP Revista de lepidopterología. 7–15. 7 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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