Alex Graves
Impact in
- Artificial Intelligence top 0.01%
- Reinforcement Learning in Robotics
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Anomaly Detection Techniques and Applications
- Signal Processing top 0.02%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Music and Audio Processing 13
- Speech and Audio Processing 6
-
- Speech Recognition and Synthesis 17
- Natural Language Processing Techniques 10
- Topic Modeling 8
- Neural Networks and Applications 5
- Reinforcement Learning in Robotics 3
- Co-authors
- Jürgen SchmidhuberAbdelrahman MohamedGeoffrey E. HintonDaan WierstraKoray KavukcuogluDemis HassabisGeorg OstrovskiNavdeep Jaitly
- Journals
- Nature (2 papers)Neural Networks (2 papers)International Journal on Document Analysis and Recognition (IJDAR) (1 paper)Nature Communications (1 paper)Cognitive Computation (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Alex Graves
39 papers receiving 34.6k citations
Hit Papers
Peers
Comparison fields: 5 of 220
- Artificial Intelligence 18.2k
- Signal Processing 5.1k
- Computer Vision and Pattern Recognition 7.8k
- Control and Systems Engineering 4.2k
- Automotive Engineering 2.2k
Countries citing papers authored by Alex Graves
This map shows the geographic impact of Alex Graves'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 Alex Graves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Graves more than expected).
Fields of papers citing papers by Alex Graves
This network shows the impact of papers produced by Alex Graves. 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 Alex Graves. The network helps show where Alex Graves may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex Graves, 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 | 2025 | 1 | |
| 2 | Practical Real Time Recurrent Learning with a Sparse Approximation | 2021 | 3 |
| 3 | Associative Compression Networks | 2018 | 2 |
| 4 | Strategic Attentive Writer for Learning Macro-Actions | 2016 | 17 |
| 5 | Grid Long Short-Term Memory | 2016 | 106 |
| 6 | Hybrid computing using a neural network with dynamic external memory Hit paper breakdown → | 2016 | 683 |
| 7 | DRAW: A Recurrent Neural Network For Image Generation Hit paper breakdown → | 2015 | 478 |
| 8 | Human-level control through deep reinforcement learning Hit paper breakdown → | 2015 | 17153 |
| 9 | Towards End-To-End Speech Recognition with Recurrent Neural Networks Hit paper breakdown → | 2014 | 1084 |
| 10 | 2014 | 12 | |
| 11 | Hybrid speech recognition with Deep Bidirectional LSTM Hit paper breakdown → | 2013 | 1138 |
| 12 | Practical Variational Inference for Neural Networks Hit paper breakdown → | 2011 | 475 |
| 13 | A Tandem BLSTM-DBN Architecture for Keyword Spotting with Enhanced Context Modeling | 2009 | 12 |
| 14 | 2009 | 136 | |
| 15 | A novel approach to on-line handwriting recognition based on bidirectional long short-term memory networks | 2007 | 123 |
| 16 | RNN-based Learning of Compact Maps for Efficient Robot Localization | 2007 | 8 |
| 17 | Unconstrained On-line Handwriting Recognition with Recurrent Neural Networks | 2007 | 123 |
| 18 | Framewise phoneme classification with bidirectional lstm and other neural network architectures | 2005 | 64 |
| 19 | Framewise phoneme classification with bidirectional LSTM and other neural network architectures Hit paper breakdown → | 2005 | 3634 |
| 20 | A Comparison Between Spiking and Differentiable Recurrent Neural Networks on Spoken Digit Recognition | 2004 | 5 |
About Alex Graves
Alex Graves is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Rehabilitation and Geriatrics and Gerontology, having authored 40 papers that have together received 36.5k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (17 papers), Music and Audio Processing (13 papers), Natural Language Processing Techniques (10 papers), Topic Modeling (8 papers), Speech and Audio Processing (6 papers), Neural Networks and Applications (5 papers), Advanced Memory and Neural Computing (3 papers) and Reinforcement Learning in Robotics (3 papers). The work is most often cited by research in Artificial Intelligence (18.2k citations), Signal Processing (5.1k citations), Computer Vision and Pattern Recognition (7.8k citations), Control and Systems Engineering (4.2k citations) and Automotive Engineering (2.2k citations). Alex Graves has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Jürgen Schmidhuber, Abdelrahman Mohamed, Geoffrey E. Hinton, Daan Wierstra, Koray Kavukcuoglu, Demis Hassabis, Georg Ostrovski, Navdeep Jaitly, Volodymyr Mnih and Charles Beattie. Their work appears in journals such as Nature, Neural Networks, International Journal on Document Analysis and Recognition (IJDAR), Nature Communications and Cognitive Computation.
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.