Leandro D. Vignolo

414 total citations
20 papers, 289 citations indexed

About

Leandro D. Vignolo is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Leandro D. Vignolo has authored 20 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Signal Processing, 7 papers in Artificial Intelligence and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Leandro D. Vignolo's work include Speech and Audio Processing (9 papers), Music and Audio Processing (5 papers) and Food Supply Chain Traceability (4 papers). Leandro D. Vignolo is often cited by papers focused on Speech and Audio Processing (9 papers), Music and Audio Processing (5 papers) and Food Supply Chain Traceability (4 papers). Leandro D. Vignolo collaborates with scholars based in Argentina, Belgium and Sweden. Leandro D. Vignolo's co-authors include Diego H. Milone, Hugo Leonardo Rufiner, Jacob Scharcanski, S. R. Mahadeva Prasanna, Marcelo A. Colominas, Gastón Schlotthauer, John C. Goddard, Julio R. Galli, José O. Chelotti and Leonardo L. Giovanini and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and Applied Soft Computing.

In The Last Decade

Leandro D. Vignolo

19 papers receiving 275 citations

Peers

Leandro D. Vignolo

CVPR

CSE

CTM

Farshad Almasganj Iran

Juan G. Colonna Brazil

Prakash Chandra Sharma India

René Quiniou France

Liang Mao China

Tanvir Zaman Khan Bangladesh

Corneliu Burileanu Romania

Guillermo Payá–Vayá Germany

S. Amirhassan Monadjemi Iran

Mustaqeem Khan United Arab Emirates

Farshad Almasganj Iran

Leandro D. Vignolo

337 ×2.8

356 ×3.4

84 ×1.6

CVPR

30 ×0.8

CSE

3 ×0.1

CTM

Citations per year, relative to Leandro D. Vignolo Leandro D. Vignolo (= 1×) peers Farshad Almasganj

Countries citing papers authored by Leandro D. Vignolo

Since Specialization

Citations

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

Fields of papers citing papers by Leandro D. Vignolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leandro D. Vignolo

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

All Works

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20 of 20 papers shown

Chelotti, José O., et al.. (2025). A multi-head deep fusion model for recognition of cattle foraging events using sound and movement signals. Engineering Applications of Artificial Intelligence. 157. 111372–111372. 1 indexed citations

Chelotti, José O., et al.. (2024). Livestock feeding behaviour: A review on automated systems for ruminant monitoring. Biosystems Engineering. 246. 150–177. 14 indexed citations

Vignolo, Leandro D., et al.. (2023). A full end-to-end deep approach for detecting and classifying jaw movements from acoustic signals in grazing cattle. Engineering Applications of Artificial Intelligence. 121. 106016–106016. 12 indexed citations

Chelotti, José O., Santiago A. Utsumi, Leandro D. Vignolo, et al.. (2023). Daylong acoustic recordings of grazing and rumination activities in dairy cows. Scientific Data. 10(1). 782–782. 8 indexed citations

Schlotthauer, Gastón, et al.. (2023). Fully adaptive time-varying wave-shape model: Applications in biomedical signal processing. Signal Processing. 214. 109258–109258. 3 indexed citations

Chelotti, José O., et al.. (2023). Livestock feeding behaviour: A review on automated systems for ruminant monitoring. arXiv (Cornell University). 3 indexed citations

Vignolo, Leandro D., et al.. (2019). Exploring feature extraction methods for infant mood classification. AI Communications. 32(3). 191–206. 1 indexed citations

Vignolo, Leandro D. & M. Gérard. (2017). Evolutionary local improvement on genetic algorithms for feature selection. 45. 1–8. 3 indexed citations

Vignolo, Leandro D., et al.. (2017). Empirical Mode Decomposition for adaptive AM-FM analysis of Speech: A Review. Speech Communication. 88. 39–64. 65 indexed citations

10.

Vignolo, Leandro D., et al.. (2017). Automatic classification of Furnariidae species from the Paranaense Littoral region using speech-related features and machine learning. Ecological Informatics. 38. 39–49. 14 indexed citations

11.

Vignolo, Leandro D., et al.. (2017). Coherent averaging estimation autoencoders applied to evoked potentials processing. Neurocomputing. 240. 47–58.

12.

Vignolo, Leandro D., Hugo Leonardo Rufiner, & Diego H. Milone. (2016). Multi‐objective optimisation of wavelet features for phoneme recognition. IET Signal Processing. 10(6). 685–691. 8 indexed citations

13.

Vignolo, Leandro D., S. R. Mahadeva Prasanna, Samarendra Dandapat, Hugo Leonardo Rufiner, & Diego H. Milone. (2016). Feature optimisation for stress recognition in speech. Pattern Recognition Letters. 84. 1–7. 12 indexed citations

14.

Vignolo, Leandro D., et al.. (2013). Genetic wrapper approach for automatic diagnosis of speech disorders related to Autism. 387–392. 6 indexed citations

15.

Vignolo, Leandro D., Diego H. Milone, & Jacob Scharcanski. (2013). Feature selection for face recognition based on multi-objective evolutionary wrappers. Expert Systems with Applications. 40(13). 5077–5084. 71 indexed citations

16.

Vignolo, Leandro D., et al.. (2012). An evolutionary wrapper for feature selection in face recognition applications. 52. 1286–1290. 7 indexed citations

17.

Vignolo, Leandro D., Diego H. Milone, & Hugo Leonardo Rufiner. (2012). Genetic wavelet packets for speech recognition. Expert Systems with Applications. 40(6). 2350–2359. 19 indexed citations

18.

Vignolo, Leandro D., Hugo Leonardo Rufiner, Diego H. Milone, & John C. Goddard. (2011). Evolutionary Splines for Cepstral Filterbank Optimization in Phoneme Classification. EURASIP Journal on Advances in Signal Processing. 2011(1). 16 indexed citations

19.

Vignolo, Leandro D., Hugo Leonardo Rufiner, Diego H. Milone, & John C. Goddard. (2011). Evolutionary cepstral coefficients. Applied Soft Computing. 11(4). 3419–3428. 20 indexed citations

20.

Vignolo, Leandro D., Hugo Leonardo Rufiner, Diego H. Milone, & John C. Goddard. (2009). GENETIC OPTIMIZATION OF CEPSTRUM FILTERBANK FOR PHONEME CLASSIFICATION. 179–185. 6 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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