Arne Eigenfeldt

507 total citations
43 papers, 269 citations indexed

About

Arne Eigenfeldt is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Arne Eigenfeldt has authored 43 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Vision and Pattern Recognition, 32 papers in Signal Processing and 19 papers in Cognitive Neuroscience. Recurrent topics in Arne Eigenfeldt's work include Music Technology and Sound Studies (39 papers), Music and Audio Processing (32 papers) and Neuroscience and Music Perception (18 papers). Arne Eigenfeldt is often cited by papers focused on Music Technology and Sound Studies (39 papers), Music and Audio Processing (32 papers) and Neuroscience and Music Perception (18 papers). Arne Eigenfeldt collaborates with scholars based in Canada, Australia and United States. Arne Eigenfeldt's co-authors include Philippe Pasquier, Oliver Bown, Ajay Kapur, Shlomo Dubnov, Andrew R. Brown, Toby Gifford, Christopher R. Anderson, Jim Bizzocchi, Michael Cook and Héctor Muñoz‐Avila and has published in prestigious journals such as SHILAP Revista de lepidopterología, Soft Computing and AI Magazine.

In The Last Decade

Arne Eigenfeldt

38 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arne Eigenfeldt Canada 11 217 172 121 47 26 43 269
Olivier Delerue France 7 238 1.1× 239 1.4× 109 0.9× 35 0.7× 27 1.0× 12 314
Diemo Schwarz France 8 172 0.8× 172 1.0× 88 0.7× 33 0.7× 28 1.1× 25 242
Cheng-Zhi Anna Huang United States 7 212 1.0× 208 1.2× 90 0.7× 67 1.4× 19 0.7× 13 286
David Zicarelli United States 6 201 0.9× 154 0.9× 115 1.0× 17 0.4× 36 1.4× 12 262
Palle Dahlstedt Sweden 9 145 0.7× 93 0.5× 79 0.7× 48 1.0× 18 0.7× 36 220
Tristan Jehan United States 9 147 0.7× 156 0.9× 68 0.6× 38 0.8× 34 1.3× 19 244
Axel Mulder Canada 8 238 1.1× 129 0.8× 175 1.4× 15 0.3× 83 3.2× 10 279
Christopher Ariza United States 8 189 0.9× 190 1.1× 109 0.9× 36 0.8× 7 0.3× 15 262
Ross Kirk United Kingdom 7 229 1.1× 111 0.6× 171 1.4× 14 0.3× 84 3.2× 19 287
Oded Ben‐Tal United Kingdom 9 143 0.7× 116 0.7× 119 1.0× 25 0.5× 12 0.5× 18 240

Countries citing papers authored by Arne Eigenfeldt

Since Specialization
Citations

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

Fields of papers citing papers by Arne Eigenfeldt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arne Eigenfeldt

This figure shows the co-authorship network connecting the top 25 collaborators of Arne Eigenfeldt. A scholar is included among the top collaborators of Arne Eigenfeldt 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 Arne Eigenfeldt. Arne Eigenfeldt 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.
Eigenfeldt, Arne, Oliver Bown, Andrew R. Brown, & Toby Gifford. (2016). Flexible Generation of Musical Form: Beyond Mere Generation.. Griffith Research Online (Griffith University, Queensland, Australia). 264–271. 6 indexed citations
2.
Eigenfeldt, Arne. (2015). Generative Music for Live Musicians: An Unnatural Selection. ICCC. 142–149. 3 indexed citations
3.
Eigenfeldt, Arne, et al.. (2015). Collaborative Composition with Creative Systems: Reflections on the First Musebot Ensemble. ICCC. 134–141. 10 indexed citations
4.
Pasquier, Philippe, Arne Eigenfeldt, & Oliver Bown. (2014). Preface. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 10(5). vii–vii. 1 indexed citations
5.
Eigenfeldt, Arne. (2014). Generative Music for Live Performance: Experiences with real-time notation. Organised Sound. 19(3). 276–285. 3 indexed citations
6.
Bown, Oliver, et al.. (2013). The Musical Metacreation Weekend: Challenges Arising from the Live Presentation of Musically Metacreative Systems. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(5). 27–34. 8 indexed citations
7.
Anderson, Christopher R., Arne Eigenfeldt, & Philippe Pasquier. (2013). The Generative Electronic Dance Music Algorithmic System (GEDMAS). Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(5). 5–8. 3 indexed citations
8.
Eigenfeldt, Arne, et al.. (2013). Towards a Taxonomy of Musical Metacreation: Reflections on the First Musical Metacreation Weekend. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 9(5). 40–47. 11 indexed citations
9.
Eigenfeldt, Arne & Philippe Pasquier. (2013). Considering Vertical and Horizontal Context in Corpus-based Generative Electronic Dance Music.. ICCC. 72–78. 12 indexed citations
10.
Eigenfeldt, Arne, et al.. (2012). MANUSCORE: MUSIC NOTATION-BASED COMPUTER ASSISTED COMPOSITION. The Journal of the Abraham Lincoln Association. 2012. 3 indexed citations
11.
Eigenfeldt, Arne. (2012). Embracing the Bias of the Machine: Exploring Non-Human Fitness Functions. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. 8(4). 80–82.
12.
Eigenfeldt, Arne, et al.. (2012). Evaluating Musical Metacreation.. ICCC. 140–144. 6 indexed citations
13.
Pasquier, Philippe, et al.. (2012). Validation of Harmonic Progression Generator Using Classical Music.. ICCC. 126–133. 5 indexed citations
14.
Eigenfeldt, Arne & Philippe Pasquier. (2011). Negotiated Content: Generative Soundscape Composition by Autonomous Musical Agents in Coming Together: Freesound.. ICCC. 27–32. 11 indexed citations
15.
Eigenfeldt, Arne & Philippe Pasquier. (2010). Realtime Generation of Harmonic Progressions Using Constrained Markov Selection.. ICCC. 16–25. 22 indexed citations
16.
Eigenfeldt, Arne & Philippe Pasquier. (2009). Realtime Selection of Percussion Samples Through Timbral Similarity in Max/MSP.. The Journal of the Abraham Lincoln Association. 2 indexed citations
17.
Eigenfeldt, Arne, et al.. (2008). The MusicDB: A Music Database Query System for Recombinance-based Composition in Max/MSP. The Journal of the Abraham Lincoln Association. 2008. 2 indexed citations
18.
Eigenfeldt, Arne & Ajay Kapur. (2008). MULTI-AGENT MULTIMODAL PERFORMANCE ANALYSIS. The Journal of the Abraham Lincoln Association. 2008. 1 indexed citations
19.
Eigenfeldt, Arne. (2007). DRUM CIRCLE: INTELLIGENT AGENTS IN MAX/MSP. The Journal of the Abraham Lincoln Association. 2007. 10 indexed citations
20.
Eigenfeldt, Arne. (2007). THE CREATION OF EVOLUTIONARY RHYTHMS WITHIN A MULTI-AGENT NETWORKED DRUM ENSEMBLE. The Journal of the Abraham Lincoln Association. 2007. 10 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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