Morwaread Farbood

622 total citations
25 papers, 348 citations indexed

About

Morwaread Farbood is a scholar working on Cognitive Neuroscience, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Morwaread Farbood has authored 25 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Cognitive Neuroscience, 16 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Morwaread Farbood's work include Neuroscience and Music Perception (19 papers), Music and Audio Processing (16 papers) and Music Technology and Sound Studies (10 papers). Morwaread Farbood is often cited by papers focused on Neuroscience and Music Perception (19 papers), Music and Audio Processing (16 papers) and Music Technology and Sound Studies (10 papers). Morwaread Farbood collaborates with scholars based in United States, Germany and Austria. Morwaread Farbood's co-authors include Egon Pasztor, K. R. Jennings, Oriol Nieto, Gary Marcus, David J. Heeger, Uri Hasson, Yulia Lerner, Juan Pablo Bello, David Poeppel and Brian McFee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and The Journal of the Acoustical Society of America.

In The Last Decade

Morwaread Farbood

23 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Morwaread Farbood United States 11 239 181 172 51 49 25 348
Oded Ben‐Tal United Kingdom 9 119 0.5× 116 0.6× 143 0.8× 33 0.6× 40 0.8× 18 240
Larry Polansky United States 7 254 1.1× 189 1.0× 170 1.0× 82 1.6× 83 1.7× 30 397
Óscar Mayor Spain 8 132 0.6× 324 1.8× 259 1.5× 46 0.9× 30 0.6× 19 401
Alfonso Pérez Spain 11 124 0.5× 164 0.9× 174 1.0× 31 0.6× 15 0.3× 38 246
Μάξιμος Καλιακάτσος-Παπακώστας Greece 8 117 0.5× 110 0.6× 133 0.8× 24 0.5× 35 0.7× 40 211
Diemo Schwarz France 8 88 0.4× 172 1.0× 172 1.0× 13 0.3× 15 0.3× 25 242
Arne Eigenfeldt Canada 11 121 0.5× 172 1.0× 217 1.3× 13 0.3× 18 0.4× 43 269
Micheline Lesaffre Belgium 16 361 1.5× 320 1.8× 339 2.0× 94 1.8× 61 1.2× 52 594
Helena Daffern United Kingdom 10 126 0.5× 86 0.5× 73 0.4× 83 1.6× 36 0.7× 37 302
Denis Smalley United Kingdom 6 220 0.9× 182 1.0× 381 2.2× 142 2.8× 65 1.3× 12 470

Countries citing papers authored by Morwaread Farbood

Since Specialization
Citations

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

Fields of papers citing papers by Morwaread Farbood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morwaread Farbood

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

All Works

20 of 20 papers shown
1.
Farbood, Morwaread, et al.. (2025). Acoustic features of instrumental movie soundtracks elicit distinct and mostly non-overlapping extra-musical meanings in the mind of the listener. Scientific Reports. 15(1). 2327–2327. 1 indexed citations
2.
Farbood, Morwaread, et al.. (2020). A new approach to creating and deploying audio description for live theater. Personal and Ubiquitous Computing. 25(4). 771–781. 1 indexed citations
3.
Farbood, Morwaread, et al.. (2019). Automating Audio Description for Live Theater. Zenodo (CERN European Organization for Nuclear Research). 75–81. 1 indexed citations
4.
Farbood, Morwaread, et al.. (2018). Musical training and the perception of phonetic detail in a shadowing task. The Journal of the Acoustical Society of America. 143(3_Supplement). 1922–1922. 1 indexed citations
5.
McFee, Brian, Oriol Nieto, Morwaread Farbood, & Juan Pablo Bello. (2017). Evaluating Hierarchical Structure in Music Annotations. Frontiers in Psychology. 8. 1337–1337. 17 indexed citations
6.
Farbood, Morwaread, et al.. (2017). The contribution of timbre attributes to musical tension. The Journal of the Acoustical Society of America. 141(1). 419–427. 14 indexed citations
7.
Farbood, Morwaread. (2016). Memory of a Tonal Center After Modulation. Music Perception An Interdisciplinary Journal. 34(1). 71–93. 8 indexed citations
8.
Farbood, Morwaread, David J. Heeger, Gary Marcus, Uri Hasson, & Yulia Lerner. (2015). The neural processing of hierarchical structure in music and speech at different timescales. Frontiers in Neuroscience. 9. 157–157. 59 indexed citations
9.
Farbood, Morwaread, Jess Rowland, Gary Marcus, Oded Ghitza, & David Poeppel. (2014). Decoding time for the identification of musical key. Attention Perception & Psychophysics. 77(1). 28–35. 2 indexed citations
10.
Nieto, Oriol, Morwaread Farbood, Tristan Jehan, & Juan Pablo Bello. (2014). Perceptual Analysis Of The F-Measure To Evaluate Section Boundaries In Music.. Zenodo (CERN European Organization for Nuclear Research). 265–270. 11 indexed citations
11.
Nieto, Oriol & Morwaread Farbood. (2014). Identifying Polyphonic Musical Patterns From Audio Recordings Using Music Segmentation Techniques.. Zenodo (CERN European Organization for Nuclear Research). 411–416. 13 indexed citations
12.
Farbood, Morwaread, Gary Marcus, & David Poeppel. (2013). Temporal dynamics and the identification of musical key.. Journal of Experimental Psychology Human Perception & Performance. 39(4). 911–918. 11 indexed citations
13.
Farbood, Morwaread, et al.. (2013). Interpreting expressive performance through listener judgments of musical tension. Frontiers in Psychology. 4. 998–998. 11 indexed citations
14.
Farbood, Morwaread. (2012). A Parametric, Temporal Model of Musical Tension. Music Perception An Interdisciplinary Journal. 29(4). 387–428. 61 indexed citations
15.
Farbood, Morwaread. (2010). Working memory and the perception of hierarchical tonal structures. 119–222. 4 indexed citations
16.
Farbood, Morwaread, et al.. (2010). The effect of structure and rate variation on key-finding. 36–40.
17.
Farbood, Morwaread. (2008). A Global Model of Musical Tension. 690–695. 3 indexed citations
18.
Farbood, Morwaread, et al.. (2007). COMPOSING WITH HYPERSCORE: AN INTUITIVE INTERFACE FOR VISUALIZING MUSICAL STRUCTURE. The Journal of the Abraham Lincoln Association. 2007. 10 indexed citations
19.
Farbood, Morwaread, Egon Pasztor, & K. R. Jennings. (2004). Hyperscore: a graphical sketchpad for novice composers. IEEE Computer Graphics and Applications. 24(1). 50–54. 66 indexed citations
20.
Farbood, Morwaread, et al.. (2001). Analysis and Synthesis of Palestrina-Style Counterpoint Using Markov Chains. The Journal of the Abraham Lincoln Association. 2001. 471–474. 33 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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2026