Arshia Cont

16 papers receiving 178 citations

Peers

Arshia Cont
Comparison fields: 5 of 37
  • Signal Processing 148
  • Computer Vision and Pattern Recognition 141
  • Cognitive Neuroscience 62
  • Human-Computer Interaction 17
  • Architecture 2
Replace Monica Dinculescu with:
Monica Dinculescu United States
Mika Kuuskankare Finland
Nicola Montecchio Italy
Satoru Fukayama Japan
Cheng-Zhi Anna Huang United States
Hermann Hild United States
Curtis Hawthorne United States
Robert Frischholz Germany
Horst Eidenberger Austria
Takuya Nishimoto Japan
Arshia Cont relative to Monica Dinculescu United States Monica Dinculescu's profile →
Citations per field
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Monica Dinculescu · 1×
Citations per year

Countries citing papers authored by Arshia Cont

Since Specialization
Citations

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

Fields of papers citing papers by Arshia Cont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Arshia Cont, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arshia Cont Line = papers co-authored together Arshia Cont links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200972
2 200639
3 200416
4 201012
5 201311
6 201310
7 20047
8 20157
9
Score Following at Ircam
20066
10 20185
11 20095
12
Improvement of Observation Modeling for Score Following
20045
13
OMAX Brothers: A Dynamic Topology of Agents for Improvisation Learning
20063
14
Structural risk minimization
20051
15 20111
16 20151
17 20130
18 20160

About Arshia Cont

Arshia Cont is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Cognitive Neuroscience and Sociology and Political Science, having authored 18 papers that have together received 201 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (12 papers), Music and Audio Processing (10 papers), Speech and Audio Processing (4 papers), Neuroscience and Music Perception (3 papers), Speech Recognition and Synthesis (2 papers), Data Visualization and Analytics (2 papers), Multimedia Communication and Technology (2 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Signal Processing (148 citations), Computer Vision and Pattern Recognition (141 citations), Cognitive Neuroscience (62 citations), Human-Computer Interaction (17 citations) and Architecture (2 citations). Arshia Cont has collaborated with scholars based in France, United States and Romania. Frequent co-authors include Gérard Assayag, Shlomo Dubnov, Marc Chemillier, Jean‐Louis Giavitto, Diemo Schwarz, José I. Echeveste, Florent Jacquemard, Mathias Rossignol, Mathieu Lagrange and Nicolas Obin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Discrete Event Dynamic Systems, IEEE Transactions on Audio Speech and Language Processing, Journal of New Music Research and Journal Européen des Systèmes Automatisés.

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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