stats.fm

Plus
SupportFeedback
Retrouvées: Hidden Treasures of Classical Piano
Ernst von Dohnányi, Ignacy Jan Paderewski, Anton Arensky, Stephen Heller, Manuel Ruiz Del Corral

Retrouvées: Hidden Treasures of Classical Piano

  • Login to see

    total times streamed
  • Login to see

    total minutes streamed
  • Login to see

    first streamed
  • Login to see

    last streamed
  • 12

    tracks
  • -

    0-10 popularity
  • album

    type of album
  • 02/11/2023

    release date

Album content

The tracks on this album

  • 1.

    Elegiaco No.10, Op. 76

    Jean Sibelius, Irene Cantos

  • 2.

    Morceaux Caractéristiques, Op. 36: No.24 Aux Champs

    Anton Arensky, Manuel Ruiz Del Corral

  • 3.

    Pavane pour une Infante Défunte: Pavane

    Maurice Ravel, Irene Cantos

  • 4.

    Goyescas (suite), No.4: Quejas (o la maja y el ruiseñor)

    Enrique Granados, Andrés Navarro

  • 5.

    Largo from Xerxes - Arr. Solo Piano

    George Frideric Handel, Manuel Ruiz Del Corral

  • 6.

    2 Piano Pieces, Op. 38: Prelude-Impromptu, Op. 38, No. 1

    Nikolai Rimsky-Korsakov, Juan Francisco Otón

  • 7.

    Humoresques, Op. 14: No.1, Minuet Celebre

    Ignacy Jan Paderewski, Manuel Ruiz Del Corral

  • 8.

    Rosamunde, Ballet Music excerpt - Arr. solo piano

    Franz Schubert, Manuel Ruiz Del Corral

  • 9.

    La Vallée d'amour, Op. 67

    Stephen Heller, Manuel Ruiz Del Corral

  • 10.

    Valse Capricieuse, Op. 47

    Manuel Ruiz Del Corral, Boleslav Grodzky

  • 11.

    Naila Walltz

    Léo Delibes, Ernst von Dohnányi, Manuel Ruiz Del Corral

  • 12.

    Marche a la Turque, Ruins of Athens - Arr. Solo Piano

    Ludwig van Beethoven, Manuel Ruiz Del Corral

Top listeners

People who listen a lot to Retrouvées: Hidden Treasures of Classical Piano

Login to be able to see top listeners!

stats.fm

  • Home
  • Status
  • Feedback

Resources

  • Support
  • Beta program
  • Creator program
  • stats.fm Plus

Company

  • Contact
  • Jobs
  • Credits

Legal

  • Privacy
  • Terms

Download

apple
google
discord
twitter
instagram
github
reddit


All copyrighted content (i.e. album artwork) on stats.fm are owned by their respective owners. Data is provided by Spotify AB. stats.fm is in no way affiliated with Spotify AB.

© 2020-2025 StatsFM B.V. (formerly Spotistats for Spotify). All rights reserved. Made with ❤️ in the Netherlands.