Dan Ventura
Impact in
- Artificial Intelligence top 2%
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
- Quantum Information and Cryptography
- Artificial Intelligence in Games
- Neural Networks and Applications
Papers in
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- Music Technology and Sound Studies 19
-
- Artificial Intelligence in Games 15
- Quantum Computing Algorithms and Architecture 11
- Neural Networks and Applications 11
- Quantum Information and Cryptography 9
- Co-authors
- Tony MartinezD. P. NortonJohn T. PrinceRichard SmithNancy FuldaRob SmithMark J. RichardsAndrew D. Mathis
- Journals
- BMC Bioinformatics (3 papers)Information Sciences (2 papers)Bioinformatics (2 papers)Briefings in Bioinformatics (2 papers)Computers in Biology and Medicine (2 papers)
- Partner nations
- United StatesFinlandFrance
In The Last Decade
Dan Ventura
121 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 692
- Computer Vision and Pattern Recognition 285
- Cognitive Neuroscience 174
- Signal Processing 83
- Computational Theory and Mathematics 110
Countries citing papers authored by Dan Ventura
This map shows the geographic impact of Dan Ventura'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 Dan Ventura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Ventura more than expected).
Fields of papers citing papers by Dan Ventura
This network shows the impact of papers produced by Dan Ventura. 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 Dan Ventura. The network helps show where Dan Ventura may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Ventura, 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 | Inferring Structural Constraints in Musical Sequences via Multiple Self-Alignment | 2021 | 2 |
| 2 | A Speculative Exploration of the Role of Dialogue in Human-ComputerCo-creation. | 2020 | 4 |
| 3 | Modeling Knowledge, Expression, and Aesthetics via Sensory Grounding. | 2019 | 1 |
| 4 | 2018 | 7 | |
| 5 | An HBPL-based Approach to the Creation of Six-word Stories. | 2018 | 2 |
| 6 | 2018 | 3 | |
| 7 | Explainability: An Aesthetic for Aesthetics in Computational Creative Systems. | 2018 | 3 |
| 8 | The man behind the curtain: Overcoming skepticism about creative computers. | 2015 | 1 |
| 9 | The Painting Fool Sees! New Projects with the Automated Painter. | 2015 | 25 |
| 10 | Greedy structure search for sum-product networks | 2015 | 15 |
| 11 | Imagining Imagination: A Computational Framework Using Associative Memory Models and Vector Space Models | 2015 | 3 |
| 12 | 2015 | 2 | |
| 13 | Nehovah: A Neologism Creator Nomen Ipsum. | 2014 | 18 |
| 14 | 2012 | 1 | |
| 15 | Real-time Automatic Price Prediction for eBay Online Trading | 2009 | 9 |
| 16 | Predicting and preventing coordination problems in cooperative Q-learning systems | 2007 | 36 |
| 17 | Iterative Non-linear Dimensionality Reduction with Manifold Sculpting | 2007 | 24 |
| 18 | Training a Quantum Neural Network | 2003 | 39 |
| 19 | Dynamic Joint Action Perception for Q-Learning Agents. | 2003 | 4 |
| 20 | Pattern Classification Using a Quantum System | 2002 | 5 |
About Dan Ventura
Dan Ventura is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Cognitive Neuroscience and Computer Graphics and Computer-Aided Design, having authored 129 papers that have together received 1.2k indexed citations. Recurring topics across this work include Music Technology and Sound Studies (19 papers), Music and Audio Processing (17 papers), Artificial Intelligence in Games (15 papers), Quantum Computing Algorithms and Architecture (11 papers), Neural Networks and Applications (11 papers), Neuroscience and Music Perception (11 papers), Advanced Memory and Neural Computing (10 papers) and Quantum Information and Cryptography (9 papers). The work is most often cited by research in Artificial Intelligence (692 citations), Computer Vision and Pattern Recognition (285 citations), Cognitive Neuroscience (174 citations), Signal Processing (83 citations) and Computational Theory and Mathematics (110 citations). Dan Ventura has collaborated with scholars based in United States, Finland and France. Frequent co-authors include Tony Martinez, D. P. Norton, John T. Prince, Richard Smith, Nancy Fulda, Rob Smith, Mark J. Richards, Andrew D. Mathis, Paul Bodily and Michael S. Gashler. Their work appears in journals such as BMC Bioinformatics, Information Sciences, Bioinformatics, Briefings in Bioinformatics and Computers in Biology and Medicine.
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.