Fernando Perdigão

555 total citations
47 papers, 261 citations indexed

About

Fernando Perdigão is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fernando Perdigão has authored 47 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 20 papers in Signal Processing and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fernando Perdigão's work include Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (12 papers). Fernando Perdigão is often cited by papers focused on Speech Recognition and Synthesis (22 papers), Speech and Audio Processing (14 papers) and Music and Audio Processing (12 papers). Fernando Perdigão collaborates with scholars based in Portugal, United States and Brazil. Fernando Perdigão's co-authors include Carla Lopes, Jaime Santos, Mário Santos, Marco Gomes, Paulo Menezes, Andreas Stolcke, Gabriel Falcão, Aldebaro Klautau, Sandrina Nunes and Sandra Maria Aluísio and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and Signal Processing.

In The Last Decade

Fernando Perdigão

45 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernando Perdigão Portugal	9	130	102	47	44	41	47	261
Najmeh Samadiani Iran	8	47 0.4×	28 0.3×	173 3.7×	24 0.5×	109 2.7×	13	331
İbrahim Furkan İnce Türkiye	8	60 0.5×	29 0.3×	103 2.2×	33 0.8×	8 0.2×	43	249
Md Shafiqul Islam Bangladesh	9	36 0.3×	27 0.3×	97 2.1×	13 0.3×	12 0.3×	30	256
R. Gopikakumari India	10	64 0.5×	62 0.6×	174 3.7×	34 0.8×	2 0.0×	39	286
Sanjoy Kumar Saha India	9	21 0.2×	113 1.1×	155 3.3×	20 0.5×	24 0.6×	29	271
Shinji Abe Japan	7	39 0.3×	11 0.1×	68 1.4×	36 0.8×	13 0.3×	32	268
Abhishek Sehgal United States	9	78 0.6×	141 1.4×	37 0.8×	10 0.2×	7 0.2×	22	272
Prathosh AP India	11	183 1.4×	133 1.3×	79 1.7×	20 0.5×	72 1.8×	54	435
Yoshihisa Nakatoh Japan	8	84 0.6×	99 1.0×	76 1.6×	6 0.1×	21 0.5×	57	225
Anna Přibilová Slovakia	9	92 0.7×	90 0.9×	22 0.5×	25 0.6×	46 1.1×	56	245

Countries citing papers authored by Fernando Perdigão

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Perdigão

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Perdigão

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Perdigão. A scholar is included among the top collaborators of Fernando Perdigão 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 Fernando Perdigão. Fernando Perdigão 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

Perdigão, Fernando, et al.. (2021). A-scan ultrasound in ophthalmology: A simulation tool. Medical Engineering & Physics. 97(1). 18–24. 2 indexed citations

Menezes, Paulo, et al.. (2020). Speaker Awareness for Speech Emotion Recognition. International Journal of Online and Biomedical Engineering (iJOE). 16(4). 15–22. 22 indexed citations

Falcão, Gabriel, et al.. (2020). Enhancing the Labelling of Audio Samples for Automatic Instrument Classification Based on Neural Networks. 1583–1587. 2 indexed citations

Lopes, Carla, et al.. (2018). Mispronunciation Detection in Children's Reading of Sentences. IEEE/ACM Transactions on Audio Speech and Language Processing. 26(7). 1207–1219. 7 indexed citations

Lopes, Carla, et al.. (2016). The LetsRead corpus of Portuguese children reading aloud for performance evaluation. Language Resources and Evaluation. 781–785. 4 indexed citations

Perdigão, Fernando, et al.. (2016). Segmented Dynamic Time Warping for Spoken Query-by-Example Search. 750–754. 6 indexed citations

Santos, Mário, et al.. (2016). In-Vivo Automatic Nuclear Cataract Detection and Classification in an Animal Model by Ultrasounds. IEEE Transactions on Biomedical Engineering. 63(11). 2326–2335. 32 indexed citations

Perdigão, Fernando, et al.. (2014). The SPL-IT Query by Example Search on Speech system for MediaEval 2014.. MediaEval. 9 indexed citations

Perdigão, Fernando, et al.. (2013). Acoustical characterization of vocalic fillers in European Portuguese.. 63–66. 1 indexed citations

10.

Perdigão, Fernando, et al.. (2012). Conversão de Grafemas para Fonemas em Português Europeu - Abordagem Híbrida com Modelos Probabilísticos e Regras Fonológicas. SHILAP Revista de lepidopterología. 1 indexed citations

11.

Perdigão, Fernando, et al.. (2012). Generating a pronunciation dictionary for European Portuguese using a joint-sequence model with embedded stress assignment. Journal of the Brazilian Computer Society. 19(2). 127–134. 2 indexed citations

12.

Lopes, Carla, et al.. (2011). Characterization of Hesitations Using Acoustic Models.. ICPhS. 2054–2057. 3 indexed citations

13.

Perdigão, Fernando, et al.. (2011). Investigating New Syllable Prototypes for the Portuguese Language.. ICPhS. 388–391. 1 indexed citations

14.

Nunes, J.M.B., et al.. (2011). Talking avatar for web-based interfaces. 1–4. 4 indexed citations

15.

Lopes, Carla & Fernando Perdigão. (2009). A Hierarchical Broad-Class Classification To Enhance Phoneme Recognition. Zenodo (CERN European Organization for Nuclear Research). 1760–1764. 6 indexed citations

16.

Lopes, Carla & Fernando Perdigão. (2007). Speech Event Detection By Non Negative Matrix Deconvolution. INFM-OAR (INFN Catania). 1280–1284. 3 indexed citations

17.

Lopes, Carla & Fernando Perdigão. (2006). Improved performance evaluation of speech event detectors. paper 1615–Thu1A1O.4. 2 indexed citations

18.

Lopes, Carla & Fernando Perdigão. (2003). VTLN Through Frequency Warping Based on Pitch. Journal of Communication and Information Systems. 18(1). 86–95. 2 indexed citations

19.

Silva, Vítor & Fernando Perdigão. (2002). Generalising the simultaneous computation of the DFTs of two real sequences using a single N-point DFT. Signal Processing. 82(3). 503–505. 2 indexed citations

20.

Perdigão, Fernando, et al.. (1997). Properties of auditory model representations. Conference of the International Speech Communication Association. 2499–2502. 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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