H. A. Ceccatto

1.6k total citations
71 papers, 1.3k citations indexed

About

H. A. Ceccatto is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Artificial Intelligence. According to data from OpenAlex, H. A. Ceccatto has authored 71 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Condensed Matter Physics, 23 papers in Atomic and Molecular Physics, and Optics and 17 papers in Artificial Intelligence. Recurrent topics in H. A. Ceccatto's work include Physics of Superconductivity and Magnetism (27 papers), Theoretical and Computational Physics (18 papers) and Advanced Condensed Matter Physics (16 papers). H. A. Ceccatto is often cited by papers focused on Physics of Superconductivity and Magnetism (27 papers), Theoretical and Computational Physics (18 papers) and Advanced Condensed Matter Physics (16 papers). H. A. Ceccatto collaborates with scholars based in Argentina, United States and Germany. H. A. Ceccatto's co-authors include Pablo M. Granitto, P.F. Verdes, H. D. Navone, L. O. Manuel, C. J. Gazza, A. E. Trumper, A. A. Aligia, Bernardo A. Huberman, J. Riera and A. Dobry and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Physical review. B, Condensed matter.

In The Last Decade

H. A. Ceccatto

70 papers receiving 1.2k 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. A. Ceccatto Argentina 19 500 270 222 176 164 71 1.3k
Zhengyang Zhao United States 28 357 0.7× 1.3k 4.7× 205 0.9× 464 2.6× 310 1.9× 101 3.0k
Claude Tricot Canada 16 271 0.5× 69 0.3× 152 0.7× 10 0.1× 19 0.1× 41 1.8k
Guanghua Liu China 22 151 0.3× 508 1.9× 135 0.6× 42 0.2× 60 0.4× 116 1.4k
Giovanni Samaey Belgium 21 60 0.1× 81 0.3× 54 0.2× 23 0.1× 74 0.5× 110 1.6k
A. Carbone Italy 22 282 0.6× 136 0.5× 85 0.4× 32 0.2× 7 0.0× 77 2.4k
W. A. Thompson United States 18 89 0.2× 499 1.8× 88 0.4× 86 0.5× 29 0.2× 56 1.4k
WJ Fitzgerald United Kingdom 16 75 0.1× 86 0.3× 338 1.5× 85 0.5× 4 0.0× 81 965
Bernard Nienhuis Netherlands 20 978 2.0× 448 1.7× 212 1.0× 83 0.5× 4 0.0× 47 1.7k
K. A. Delin United States 19 972 1.9× 482 1.8× 115 0.5× 477 2.7× 23 0.1× 40 1.6k
Boian S. Alexandrov United States 21 22 0.0× 245 0.9× 191 0.9× 25 0.1× 67 0.4× 99 1.4k

Countries citing papers authored by H. A. Ceccatto

Since Specialization
Citations

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

Fields of papers citing papers by H. A. Ceccatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. A. Ceccatto

This figure shows the co-authorship network connecting the top 25 collaborators of H. A. Ceccatto. A scholar is included among the top collaborators of H. A. Ceccatto 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. A. Ceccatto. H. A. Ceccatto 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.
Grinblat, Guillermo L., Lucas C. Uzal, H. A. Ceccatto, & Pablo M. Granitto. (2010). Solving Nonstationary Classification Problems With Coupled Support Vector Machines. IEEE Transactions on Neural Networks. 22(1). 37–51. 36 indexed citations
2.
Verdes, P.F., Pablo M. Granitto, & H. A. Ceccatto. (2006). Overembedding Method for Modeling Nonstationary Systems. Physical Review Letters. 96(11). 118701–118701. 17 indexed citations
3.
Granitto, Pablo M., P.F. Verdes, & H. A. Ceccatto. (2004). Neural network ensembles: evaluation of aggregation algorithms. Artificial Intelligence. 163(2). 139–162. 129 indexed citations
4.
Ceccatto, H. A., et al.. (2003). Effects of the Pinatubo Aerosols on South Hemisphere High Latitude Ozone Measured with TOMS/NASA and Analyzed with Artificial Neural Networks. AGUFM. 2003. 1 indexed citations
5.
Aligia, A. A., et al.. (2003). Phase diagram of thettUchain at half filling. Physical review. B, Condensed matter. 67(16). 14 indexed citations
6.
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
7.
Parodi, Mauro, et al.. (1999). Actividad solar del ciclo 23. Predicción del máximo y fase decreciente utilizando redes neuronales. 43. 23–24. 1 indexed citations
8.
Manuel, L. O. & H. A. Ceccatto. (1999). Magnetic and quantum disordered phases in triangular-lattice Heisenberg antiferromagnets. Physical review. B, Condensed matter. 60(13). 9489–9493. 57 indexed citations
9.
Ceccatto, H. A., H. D. Navone, & Henri Waelbroeck. (1998). Learning persistent dynamics with neural networks. Neural Networks. 11(1). 145–151. 2 indexed citations
10.
Feiguin, Adrian, C. J. Gazza, A. E. Trumper, & H. A. Ceccatto. (1997). The Hubbard model on the triangular lattice: a slave-boson study. Journal of Physics Condensed Matter. 9(4). L27–L32. 1 indexed citations
11.
Batista, C. D., L. O. Manuel, H. A. Ceccatto, & A. A. Aligia. (1997). Superconductivity and incommensurate spin fluctuations in a generalized t-J model for the cuprates. Europhysics Letters (EPL). 38(2). 147–152. 18 indexed citations
12.
Gazza, C. J., et al.. (1996). Heisenberg model with Dzyaloshinskii-Moriya interaction: A mean-field Schwinger-boson study. Physical review. B, Condensed matter. 54(18). 12946–12952. 6 indexed citations
13.
Navone, H. D. & H. A. Ceccatto. (1995). Learning chaotic dynamics by neural networks. Chaos Solitons & Fractals. 6. 383–387. 11 indexed citations
14.
Ceccatto, H. A., C. J. Gazza, & A. E. Trumper. (1993). Nonclassical disordered phase in the strong quantum limit of frustrated antiferromagnets. Physical review. B, Condensed matter. 47(18). 12329–12332. 50 indexed citations
15.
Ceccatto, H. A. & Bernardo A. Huberman. (1989). Persistence of nonoptimal strategies. Proceedings of the National Academy of Sciences. 86(10). 3443–3446. 12 indexed citations
16.
Ceccatto, H. A. & Bernardo A. Huberman. (1988). The complexity of hierarchical systems. Physica Scripta. 37(1). 145–150. 22 indexed citations
17.
Ceccatto, H. A. & Carlos Naón. (1988). Comment on "Exact Critical Behavior of a Random-Bond Two-Dimensional Ising Model". Physical Review Letters. 61(20). 2389–2389. 12 indexed citations
18.
Ceccatto, H. A., et al.. (1988). Critical eigenfunctions in a quantum hierarchical system. Journal of Physics A Mathematical and General. 21(2). L75–L83. 6 indexed citations
19.
Ceccatto, H. A.. (1986). Effective discrete-time dynamics in Monte Carlo simulations. Physical review. B, Condensed matter. 33(7). 4734–4738. 9 indexed citations
20.
Ceccatto, H. A., et al.. (1981). Finite creation of particles in an expanding universe. ˜Il œNuovo cimento della Società italiana di fisica. B/˜Il œNuovo cimento B. 65(1). 233–247. 3 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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