Tony Martinez
- Artificial Intelligence top 0.5%
- Computer Vision and Pattern Recognition top 1%
- Information Systems top 1%
- Computational Theory and Mathematics top 2%
- Signal Processing top 2%
- Co-authors
- D.R. WilsonChristophe Giraud-CarrierMichael R. SmithDan VenturaChris TensmeyerTim AndersenDouglas M. CampbellKevin Seppi
- Topics
- Neural Networks and Applications (60 papers)Machine Learning and Data Classification (34 papers)Machine Learning and Algorithms (25 papers)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
Tony Martinez
121 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Artificial Intelligence 2.5k
- Computer Vision and Pattern Recognition 890
- Information Systems 492
- Computational Theory and Mathematics 330
- Signal Processing 317
Countries citing papers authored by Tony Martinez
This map shows the geographic impact of Tony Martinez'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 Tony Martinez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tony Martinez more than expected).
Fields of papers citing papers by Tony Martinez
This network shows the impact of papers produced by Tony Martinez. 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 Tony Martinez. The network helps show where Tony Martinez may publish in the future.
Co-authorship network of co-authors of Tony Martinez
This figure shows the co-authorship network connecting the top 25 collaborators of Tony Martinez. A scholar is included among the top collaborators of Tony Martinez 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 Tony Martinez. Tony Martinez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 39 | |
| 4 | Automatic Generation of Music for Inducing Physiological Response | 3 |
| 5 | Automatic Generation of Melodic Accompaniments for Lyrics | 13 |
| 6 | Automatic Generation of Emotionally-Targeted Soundtracks. | 8 |
| 7 | Automatic Generation of Music for Inducing Emotive Response | 18 |
| 8 | Computational Modeling of Emotional Content in Music | 1 |
| 9 | 7 | |
| 10 | 9 | |
| 11 | 36 | |
| 12 | Iterative Non-linear Dimensionality Reduction with Manifold Sculpting | 24 |
| 13 | 2 | |
| 14 | 268 | |
| 15 | 43 | |
| 16 | Instance Pruning Techniques | 119 |
| 17 | A transformation for implementing localist neural networks | 2 |
| 18 | Seven Desirable Properties for Artificial Learning Systems | 1 |
| 19 | A Generalizing Adaptive Discriminant Network | 0 |
| 20 | 1 |
About Tony Martinez
Tony Martinez is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 127 papers that have together received 3.8k indexed citations. Recurring topics across this work include Neural Networks and Applications (60 papers), Machine Learning and Data Classification (34 papers) and Machine Learning and Algorithms (25 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Computer Vision and Pattern Recognition (890 citations) and Signal Processing (317 citations). Tony Martinez has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include D.R. Wilson, Christophe Giraud-Carrier, Michael R. Smith, Dan Ventura, Chris Tensmeyer, Tim Andersen, Douglas M. Campbell, Kevin Seppi, James L. Carroll and Xianchun Zeng. Their work appears in journals such as NeuroImage, Journal of Chromatography A and Pattern Recognition.
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.