Lucas C. Uzal

1.2k total citations · 1 hit paper
11 papers, 862 citations indexed

About

Lucas C. Uzal is a scholar working on Artificial Intelligence, Signal Processing and Accounting. According to data from OpenAlex, Lucas C. Uzal has authored 11 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 2 papers in Signal Processing and 2 papers in Accounting. Recurrent topics in Lucas C. Uzal's work include Imbalanced Data Classification Techniques (2 papers), Smart Agriculture and AI (2 papers) and Data Stream Mining Techniques (2 papers). Lucas C. Uzal is often cited by papers focused on Imbalanced Data Classification Techniques (2 papers), Smart Agriculture and AI (2 papers) and Data Stream Mining Techniques (2 papers). Lucas C. Uzal collaborates with scholars based in Argentina, Netherlands and France. Lucas C. Uzal's co-authors include Guillermo L. Grinblat, Pablo M. Granitto, Mónica G. Larese, Laurent Mounier, Gustavo Grieco, Josselin Feist, Sanjay Rawat, P.F. Verdes, Eligio N. Morandi and Rafael Namías and has published in prestigious journals such as Expert Systems with Applications, Computers and Electronics in Agriculture and Solar Physics.

In The Last Decade

Lucas C. Uzal

11 papers receiving 823 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep learning for plant identification using vein morphological patterns

2016 474 citations Guillermo L. Grinblat, Lucas C. Uzal et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lucas C. Uzal Argentina	9	509	194	149	138	136	11	862
Guillermo L. Grinblat Argentina	10	510 1.0×	194 1.0×	149 1.0×	138 1.0×	137 1.0×	13	880
Anuradha Chug India	17	451 0.9×	160 0.8×	43 0.3×	42 0.3×	385 2.8×	85	1.0k
Vinod Pachghare India	12	165 0.3×	48 0.2×	128 0.9×	127 0.9×	145 1.1×	39	621
Santanu Phadikar India	15	541 1.1×	311 1.6×	85 0.6×	178 1.3×	138 1.0×	63	1.2k
C. D. Jaidhar India	16	190 0.4×	71 0.4×	30 0.2×	216 1.6×	295 2.2×	52	808
Dalcimar Casanova Brazil	12	212 0.4×	60 0.3×	58 0.4×	41 0.3×	45 0.3×	51	896
Zhibo Chen China	16	200 0.4×	62 0.3×	125 0.8×	68 0.5×	61 0.4×	111	927
Huijie Zhang China	15	83 0.2×	105 0.5×	60 0.4×	72 0.5×	98 0.7×	69	1.1k
Wenzhun Huang China	17	329 0.6×	138 0.7×	76 0.5×	39 0.3×	46 0.3×	42	899
Sunil Kumar Jha India	6	169 0.3×	47 0.2×	130 0.9×	21 0.2×	51 0.4×	10	511

Countries citing papers authored by Lucas C. Uzal

Since Specialization

Citations

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

Fields of papers citing papers by Lucas C. Uzal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucas C. Uzal. 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 Lucas C. Uzal. The network helps show where Lucas C. Uzal may publish in the future.

Co-authorship network of co-authors of Lucas C. Uzal

This figure shows the co-authorship network connecting the top 25 collaborators of Lucas C. Uzal. A scholar is included among the top collaborators of Lucas C. Uzal 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 Lucas C. Uzal. Lucas C. Uzal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Uzal, Lucas C., et al.. (2021). WGANVO: odometría visual monocular basada en redes adversarias generativas. Revista Iberoamericana de Automática e Informática Industrial RIAI. 19(2). 144–153. 3 indexed citations

2.

Uzal, Lucas C., Guillermo L. Grinblat, Rafael Namías, et al.. (2018). Seed-per-pod estimation for plant breeding using deep learning. Computers and Electronics in Agriculture. 150. 196–204. 113 indexed citations

3.

Grieco, Gustavo, Guillermo L. Grinblat, Lucas C. Uzal, et al.. (2016). Toward Large-Scale Vulnerability Discovery using Machine Learning. VU Research Portal. 85–96. 156 indexed citations

4.

Grinblat, Guillermo L., Lucas C. Uzal, Mónica G. Larese, & Pablo M. Granitto. (2016). Deep learning for plant identification using vein morphological patterns. Computers and Electronics in Agriculture. 127. 418–424. 474 indexed citations breakdown →

5.

Grinblat, Guillermo L., Lucas C. Uzal, P.F. Verdes, & Pablo M. Granitto. (2014). Nonstationary regression with support vector machines. Neural Computing and Applications. 26(3). 641–649. 15 indexed citations

6.

Grinblat, Guillermo L., Lucas C. Uzal, & Pablo M. Granitto. (2013). Abrupt change detection with One-Class Time-Adaptive Support Vector Machines. Expert Systems with Applications. 40(18). 7242–7249. 15 indexed citations

7.

Uzal, Lucas C., Rubén D. Piacentini, & P.F. Verdes. (2012). Predictions of the Maximum Amplitude, Time of Occurrence, and Total Length of Solar Cycle 24. Solar Physics. 279(2). 551–560. 10 indexed citations

8.

Uzal, Lucas C., Guillermo L. Grinblat, & P.F. Verdes. (2011). Optimal reconstruction of dynamical systems: A noise amplification approach. Physical Review E. 84(1). 16223–16223. 28 indexed citations

9.

Grinblat, Guillermo L., et al.. (2011). Evaluation of a new hybrid algorithm for highly imbalanced classification problems. International Journal of Hybrid Intelligent Systems. 8(4). 199–211. 1 indexed citations

10.

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

11.

Grinblat, Guillermo L., et al.. (2008). REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems. 16. 386–391. 11 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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