Jordan Hochenbaum
Impact in
- Signal Processing top 10%
- Music and Audio Processing
- Time Series Analysis and Forecasting
- Human-Computer Interaction top 10%
- Interactive and Immersive Displays
Papers in
-
- Music Technology and Sound Studies 14
-
- Music and Audio Processing 9
- Speech and Audio Processing 3
- Co-authors
- Owen Vallis (9 shared papers)Arun Kejariwal (2 shared papers)Ajay Kapur (14 shared papers)Martin Evans (1 shared paper)Winston Lee (1 shared paper)Matthew Wright (1 shared paper)
- Journals
- Computer Music Journal (1 paper)Organised Sound (1 paper)New Interfaces for Musical Expression (2 papers)Zenodo (CERN European Organization for Nuclear Research) (7 papers)The Journal of the Abraham Lincoln Association (2 papers)
- Partner nations
- New ZealandUnited StatesCanada
In The Last Decade
Jordan Hochenbaum
17 papers receiving 171 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 91
- Human-Computer Interaction 40
- Computer Vision and Pattern Recognition 92
- Cognitive Neuroscience 57
- Artificial Intelligence 64
Countries citing papers authored by Jordan Hochenbaum
This map shows the geographic impact of Jordan Hochenbaum'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 Jordan Hochenbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jordan Hochenbaum more than expected).
Fields of papers citing papers by Jordan Hochenbaum
This network shows the impact of papers produced by Jordan Hochenbaum. 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 Jordan Hochenbaum. The network helps show where Jordan Hochenbaum may publish in the future.
Co-authors
The 6 scholars most cited alongside Jordan Hochenbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | A novel technique for long-term anomaly detection in the cloud | 2014 | 86 |
| 2 | 2011 | 31 | |
| 3 | 2009 | 10 | |
| 4 | 2010 | 8 | |
| 5 | 2014 | 8 | |
| 6 | 2010 | 8 | |
| 7 | 2011 | 7 | |
| 8 | 2011 | 6 | |
| 9 | 2012 | 5 | |
| 10 | 2012 | 5 | |
| 11 | Arduino in Action | 2013 | 4 |
| 12 | The Machine Orchestra. | 2010 | 3 |
| 13 | NUANCE: A SOFTWARE TOOL FOR CAPTURING SYNCHRONOUS DATA STREAMS FROM MULTIMODAL MUSICAL SYSTEMS | 2012 | 3 |
| 14 | 2013 | 3 | |
| 15 | 2008 | 3 | |
| 16 | 2010 | 3 | |
| 17 | 2013 | 2 |
About Jordan Hochenbaum
Jordan Hochenbaum is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Cognitive Neuroscience, Human-Computer Interaction and Computer Networks and Communications, having authored 17 papers that have together received 195 indexed citations. Recurring topics across this work include Music Technology and Sound Studies (14 papers), Music and Audio Processing (9 papers), Interactive and Immersive Displays (5 papers), Tactile and Sensory Interactions (5 papers), Speech and Audio Processing (3 papers), Neuroscience and Music Perception (3 papers), Complex Network Analysis Techniques (2 papers) and Architecture and Computational Design (1 paper). The work is most often cited by research in Signal Processing (91 citations), Human-Computer Interaction (40 citations), Computer Vision and Pattern Recognition (92 citations), Cognitive Neuroscience (57 citations) and Artificial Intelligence (64 citations). Jordan Hochenbaum has collaborated with scholars based in New Zealand, United States and Canada. Frequent co-authors include Owen Vallis, Arun Kejariwal, Ajay Kapur, Martin Evans, Winston Lee and Matthew Wright. Their work appears in journals such as Computer Music Journal, Organised Sound, New Interfaces for Musical Expression, Zenodo (CERN European Organization for Nuclear Research) and The Journal of the Abraham Lincoln Association.
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.