Federico Alegre

26 total papers · 1.1k total citations
10 papers, 578 citations indexed

About

Federico Alegre is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Federico Alegre has authored 10 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Signal Processing and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Federico Alegre's work include Speech Recognition and Synthesis (9 papers), Music and Audio Processing (7 papers) and Speech and Audio Processing (6 papers). Federico Alegre is often cited by papers focused on Speech Recognition and Synthesis (9 papers), Music and Audio Processing (7 papers) and Speech and Audio Processing (6 papers). Federico Alegre collaborates with scholars based in France, Poland and Finland. Federico Alegre's co-authors include Nicholas Evans, Tomi Kinnunen, Zhizheng Wu, Haizhou Li, Junichi Yamagishi, Artur Janicki, Nicholas Evans, Ravichander Vipperla, Giovanni Soldi and Simon Bozonnet and has published in prestigious journals such as Speech Communication, Security and Communication Networks and IEEE Latin America Transactions.

In The Last Decade

Federico Alegre

10 papers receiving 548 citations

Hit Papers

Spoofing and countermeasu... 2014 2026 2018 2022 2014 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Federico Alegre 502 498 66 53 44 10 578
Hemlata Tak 453 0.9× 468 0.9× 180 2.7× 51 1.0× 10 0.2× 19 582
Hee-Soo Heo 478 1.0× 480 1.0× 105 1.6× 23 0.4× 10 0.2× 29 578
Kun Li 581 1.2× 411 0.8× 55 0.8× 38 0.7× 13 0.3× 24 631
Hainan Xu 543 1.1× 297 0.6× 46 0.7× 11 0.2× 11 0.3× 22 580
Nagendra Kumar Goel 583 1.2× 496 1.0× 43 0.7× 8 0.2× 7 0.2× 13 661
Yuchen Fan 572 1.1× 428 0.9× 106 1.6× 10 0.2× 10 0.2× 13 689
Hye-jin Shim 439 0.9× 470 0.9× 117 1.8× 22 0.4× 5 0.1× 22 553
V. Gupta 594 1.2× 510 1.0× 66 1.0× 7 0.1× 8 0.2× 23 640
Pinar Akyazi 472 0.9× 427 0.9× 128 1.9× 6 0.1× 5 0.1× 17 603
Raziel Álvarez 504 1.0× 344 0.7× 67 1.0× 11 0.2× 13 0.3× 6 598

Countries citing papers authored by Federico Alegre

Since Specialization
Citations

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

Fields of papers citing papers by Federico Alegre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Alegre

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

All Works

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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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