H. D. Navone

620 total citations
29 papers, 478 citations indexed

About

H. D. Navone is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Statistical and Nonlinear Physics. According to data from OpenAlex, H. D. Navone has authored 29 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Astronomy and Astrophysics and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in H. D. Navone's work include Stellar, planetary, and galactic studies (7 papers), Neural Networks and Applications (7 papers) and Time Series Analysis and Forecasting (6 papers). H. D. Navone is often cited by papers focused on Stellar, planetary, and galactic studies (7 papers), Neural Networks and Applications (7 papers) and Time Series Analysis and Forecasting (6 papers). H. D. Navone collaborates with scholars based in Argentina, Russia and Mexico. H. D. Navone's co-authors include H. A. Ceccatto, Pablo M. Granitto, P.F. Verdes, G. I. Perren, Guillermo H. Kaufmann, R. Vázquez, A. Moitinho, J. C. Muzzio, Rubén D. Piacentini and D. D. Carpintero and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

H. D. Navone

24 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. D. Navone Argentina 12 106 98 91 78 73 29 478
Voon Chet Koo Malaysia 14 77 0.7× 20 0.2× 57 0.6× 19 0.2× 125 1.7× 93 970
Santiago Velasco-Forero France 14 31 0.3× 45 0.5× 97 1.1× 39 0.5× 61 0.8× 50 603
Yi Du China 14 18 0.2× 23 0.2× 154 1.7× 11 0.1× 37 0.5× 49 543
Xin Zheng China 11 47 0.4× 27 0.3× 94 1.0× 27 0.3× 43 0.6× 64 591
Dário Passos Portugal 19 155 1.5× 334 3.4× 80 0.9× 513 6.6× 29 0.4× 35 1.1k
Ying Zhan China 11 22 0.2× 10 0.1× 114 1.3× 57 0.7× 36 0.5× 50 824
Kadim Taşdemi̇r Türkiye 13 57 0.5× 7 0.1× 319 3.5× 42 0.5× 66 0.9× 42 673
Rob Heylen Belgium 15 18 0.2× 12 0.1× 184 2.0× 146 1.9× 47 0.6× 57 1.3k
Li Qin China 12 38 0.4× 80 0.8× 37 0.4× 5 0.1× 67 0.9× 48 537
Pablo G. Rodríguez Spain 16 15 0.1× 17 0.2× 52 0.6× 214 2.7× 68 0.9× 42 599

Countries citing papers authored by H. D. Navone

Since Specialization
Citations

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

Fields of papers citing papers by H. D. Navone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. D. Navone. 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 H. D. Navone. The network helps show where H. D. Navone may publish in the future.

Co-authorship network of co-authors of H. D. Navone

This figure shows the co-authorship network connecting the top 25 collaborators of H. D. Navone. A scholar is included among the top collaborators of H. D. Navone 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 H. D. Navone. H. D. Navone 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.
Perren, G. I., et al.. (2023). The Unified Cluster Catalogue: towards a comprehensive and homogeneous data base of stellar clusters. Monthly Notices of the Royal Astronomical Society. 526(3). 4107–4119. 21 indexed citations
2.
Perren, G. I., et al.. (2022). An analysis of the most distant cataloged open clusters. Astronomy and Astrophysics. 663. A131–A131. 11 indexed citations
3.
Perren, G. I., et al.. (2021). pyUPMASK: an improved unsupervised clustering algorithm. Springer Link (Chiba Institute of Technology). 41 indexed citations
4.
Navone, H. D., et al.. (2013). Dados, palitos, pixels y bits: alternativas didácticas para explorar la metodología de Monte Carlo en un tono lúdico. SHILAP Revista de lepidopterología. 20(2). 275–288.
5.
Muzzio, J. C., et al.. (2012). Models of cuspy triaxial stellar systems – II. Regular orbits. Monthly Notices of the Royal Astronomical Society. 428(4). 2995–3000. 2 indexed citations
6.
Navone, H. D., et al.. (2009). Astrofísica escolar: estrategias de enseñanza-aprendizaje para el nivel medio. SHILAP Revista de lepidopterología. 22(1). 57–70.
7.
Muzzio, J. C., et al.. (2009). Orbital structure of self-consistent cuspy triaxial stellar systems. Celestial Mechanics and Dynamical Astronomy. 105(4). 379–395. 8 indexed citations
8.
Navone, H. D. & P.A. Turner. (2008). Física computacional en el nivel medio: ¿una asignatura pendiente?. SHILAP Revista de lepidopterología. 21(2). 61–74.
9.
Navone, H. D., et al.. (2003). Boosting Naive-Bayes classifiers to predict outcomes for hip prostheses. 5. 3622–3626.
10.
Granitto, Pablo M., H. D. Navone, P.F. Verdes, & H. A. Ceccatto. (2002). Weed seeds identification by machine vision. Computers and Electronics in Agriculture. 33(2). 91–103. 111 indexed citations
11.
Navone, H. D., P.F. Verdes, Pablo M. Granitto, & H. A. Ceccatto. (2002). Selecting diverse members of neural network ensembles. 255–260. 12 indexed citations
12.
Navone, H. D., et al.. (2001). A Learning Algorithm For Neural Network Ensembles. INTELIGENCIA ARTIFICIAL. 5(12). 16 indexed citations
13.
Verdes, P.F., Pablo M. Granitto, H. D. Navone, & H. A. Ceccatto. (2001). Nonstationary Time-Series Analysis: Accurate Reconstruction of Driving Forces. Physical Review Letters. 87(12). 124101–124101. 36 indexed citations
14.
Granitto, Pablo M., P.F. Verdes, H. D. Navone, & H. A. Ceccatto. (2001). A LATE-STOPPING METHOD FOR OPTIMAL AGGREGATION OF NEURAL NETWORKS. International Journal of Neural Systems. 11(3). 305–310. 7 indexed citations
15.
Granitto, Pablo M., et al.. (2000). Automatic identification of weed seeds by color image processing. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 12 indexed citations
16.
Verdes, P.F., et al.. (2000). Frost prediction with machine learning techniques. El Servicio de Difusión de la Creación Intelectual (National University of La Plata). 10 indexed citations
17.
Ceccatto, H. A., H. D. Navone, & Henri Waelbroeck. (1998). Learning persistent dynamics with neural networks. Neural Networks. 11(1). 145–151. 2 indexed citations
18.
Navone, H. D. & H. A. Ceccatto. (1995). Learning chaotic dynamics by neural networks. Chaos Solitons & Fractals. 6. 383–387. 11 indexed citations
19.
Navone, H. D. & Guillermo H. Kaufmann. (1989). Automatic digital processing in speckle photography: comparison of two algorithms. Applied Optics. 28(2). 350–350. 7 indexed citations
20.
Navone, H. D. & Guillermo H. Kaufmann. (1989). Evaluation Of An Automated Fringe Measurement Method For Analysis Of Speckle Photography Data. Optical Engineering. 28(9). 2 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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