Federico Landini

728 total citations
14 papers, 97 citations indexed

About

Federico Landini is a scholar working on Artificial Intelligence, Signal Processing and Control and Systems Engineering. According to data from OpenAlex, Federico Landini has authored 14 papers receiving a total of 97 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Signal Processing and 1 paper in Control and Systems Engineering. Recurrent topics in Federico Landini's work include Speech Recognition and Synthesis (10 papers), Music and Audio Processing (6 papers) and Speech and Audio Processing (4 papers). Federico Landini is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Music and Audio Processing (6 papers) and Speech and Audio Processing (4 papers). Federico Landini collaborates with scholars based in Czechia, Japan and Greece. Federico Landini's co-authors include Lukáš Burget, Mireia Díez, Alicia Lozano-Díez, Jaň Černocký, Oldřich Plchot, Ondřej Novotný, Karel Veselý, Kateřina Žmolíková, Ladislav Mošner and Pavel Matějka and has published in prestigious journals such as Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing and Biblos-e Archivo (Universidad Autónoma de Madrid).

In The Last Decade

Federico Landini

12 papers receiving 95 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Federico Landini Czechia	6	94	76	3	2	1	14	97
Nauman Dawalatabad United States	4	59 0.6×	47 0.6×	5 1.7×	3 1.5×		12	69
Koji Okabe Japan	6	83 0.9×	80 1.1×	3 1.0×	7 3.5×		10	87
Nathalie Camelin France	6	77 0.8×	18 0.2×	3 1.0×	4 2.0×	1 1.0×	16	84
Jungil Kong	2	40 0.4×	27 0.4×	2 0.7×	4 2.0×		2	46
Simran Khanuja United States	5	97 1.0×	21 0.3×	2 0.7×	6 3.0×	2 2.0×	8	109
Daan van Esch United States	8	78 0.8×	13 0.2×	5 1.7×	6 3.0×		12	84
Kainan Peng China	5	144 1.5×	100 1.3×	5 1.7×	17 8.5×	1 1.0×	7	164
David Cournapeau Japan	4	21 0.2×	27 0.4×		3 1.5×	1 1.0×	6	31
Tian Huey Teh United Kingdom	3	26 0.3×	13 0.2×	2 0.7×	1 0.5×		5	27
Aku Rouhe Finland	4	55 0.6×	17 0.2×	4 1.3×	17 8.5×		14	66

Countries citing papers authored by Federico Landini

Since Specialization

Citations

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

Fields of papers citing papers by Federico Landini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Federico Landini

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

All Works

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14 of 14 papers shown

Kocour, Martin, Federico Landini, Matthew Wiesner, et al.. (2025). DiCoW: Diarization-conditioned Whisper for target speaker automatic speech recognition. Computer Speech & Language. 95. 101841–101841.

Landini, Federico, et al.. (2025). Leveraging Self-Supervised Learning for Speaker Diarization. 1–5. 1 indexed citations

Zhang, Lin, et al.. (2024). Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information?. 123–130. 1 indexed citations

Landini, Federico, Johan Rohdin, Mireia Díez, et al.. (2024). Diacorrect: Error Correction Back-End for Speaker Diarization. 11181–11185. 1 indexed citations

Díez, Mireia, et al.. (2024). Discriminative Training of VBx Diarization. 11871–11875. 1 indexed citations

Landini, Federico, Mireia Díez, Themos Stafylakis, & Lukáš Burget. (2024). DiaPer: End-to-End Neural Diarization With Perceiver-Based Attractors. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3450–3465. 5 indexed citations

Zhang, Lin, Xin Wang, Erica Cooper, et al.. (2024). Spoof Diarization: "What Spoofed When" in Partially Spoofed Audio. 502–506.

Landini, Federico, Mireia Díez, Alicia Lozano-Díez, & Lukáš Burget. (2023). Multi-Speaker and Wide-Band Simulated Conversations as Training Data for End-to-End Neural Diarization. Biblos-e Archivo (Universidad Autónoma de Madrid). 1–5. 12 indexed citations

Delcroix, Marc, Naohiro Tawara, Mireia Díez, et al.. (2023). Multi-Stream Extension of Variational Bayesian HMM Clustering (MS-VBx) for Combined End-to-End and Vector Clustering-based Diarization. 3477–3481. 6 indexed citations

10.

Landini, Federico, Alicia Lozano-Díez, Mireia Díez, & Lukáš Burget. (2022). From Simulated Mixtures to Simulated Conversations as Training Data for End-to-End Neural Diarization. Interspeech 2022. 5095–5099. 20 indexed citations

11.

Díez, Mireia, et al.. (2020). Optimizing Bayesian Hmm Based X-Vector Clustering for the Second Dihard Speech Diarization Challenge. 6519–6523. 5 indexed citations

12.

Žmolíková, Kateřina, Federico Landini, Martin Karafiát, et al.. (2020). BUT System for CHiME-6 Challenge. 58–61. 1 indexed citations

13.

Díez, Mireia, Lukáš Burget, Federico Landini, & Jaň Černocký. (2019). Analysis of Speaker Diarization Based on Bayesian HMM With Eigenvoice Priors. IEEE/ACM Transactions on Audio Speech and Language Processing. 28. 355–368. 21 indexed citations

14.

Díez, Mireia, Federico Landini, Lukáš Burget, et al.. (2018). BUT System for DIHARD Speech Diarization Challenge 2018. 2798–2802. 23 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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