Alexander M. Rush
Impact in
- Artificial Intelligence top 0.1%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Speech Recognition and Synthesis
- Text Readability and Simplification
- Speech and dialogue systems
- Domain Adaptation and Few-Shot Learning
-
- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 62
- Natural Language Processing Techniques 57
- Speech Recognition and Synthesis 11
- Advanced Text Analysis Techniques 7
- Text Readability and Simplification 6
- Domain Adaptation and Few-Shot Learning 5
-
- Multimodal Machine Learning Applications 13
- Co-authors
- Yoon Kim (8 shared papers)Sam Wiseman (8 shared papers)David Sontag (4 shared papers)Sebastian Gehrmann (5 shared papers)Sumit Chopra (3 shared papers)Stuart M. Shieber (6 shared papers)Yacine Jernite (3 shared papers)Yuntian Deng (10 shared papers)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (3 papers)Nature Sustainability (1 paper)Applied Physics Letters (1 paper)Physical Review A (1 paper)Tijdschrift voor Economische en Sociale Geografie (1 paper)
- Partner nations
- United StatesUnited KingdomIsrael
In The Last Decade
Alexander M. Rush
113 papers receiving 5.6k citations
Alexander M. Rush's Hit Papers
Peers
Comparison fields: 5 of 157
- Artificial Intelligence 4.7k
- Computer Vision and Pattern Recognition 1.4k
- Signal Processing 295
- Health Informatics 30
- Geography, Planning and Development 123
Countries citing papers authored by Alexander M. Rush
This map shows the geographic impact of Alexander M. Rush'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 Alexander M. Rush with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander M. Rush more than expected).
Fields of papers citing papers by Alexander M. Rush
This network shows the impact of papers produced by Alexander M. Rush. 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 Alexander M. Rush. The network helps show where Alexander M. Rush may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander M. Rush, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Character-Aware Neural Language Models Hit paper breakdown → | 2016 | 641 |
| 2 | Abstractive Sentence Summarization with Attentive Recurrent Neural Networks Hit paper breakdown → | 2016 | 508 |
| 3 | Sequence-Level Knowledge Distillation Hit paper breakdown → | 2016 | 487 |
| 4 | Transformers: State-of-the-Art Natural Language Processing Hit paper breakdown → | 2020 | 436 |
| 5 | Bottom-Up Abstractive Summarization Hit paper breakdown → | 2018 | 377 |
| 6 | 2017 | 282 | |
| 7 | 2016 | 236 | |
| 8 | 2017 | 229 | |
| 9 | 2019 | 163 | |
| 10 | 2021 | 122 | |
| 11 | 2022 | 120 | |
| 12 | On Dual Decomposition and Linear Programming Relaxations for Natural Language Processing | 2010 | 110 |
| 13 | Dual Decomposition for Parsing with Non-Projective Head Automata | 2010 | 110 |
| 14 | 2018 | 104 | |
| 15 | Sharing Geographic Information | 1995 | 103 |
| 16 | 2016 | 94 | |
| 17 | 2015 | 83 | |
| 18 | 2019 | 74 | |
| 19 | Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks | 2016 | 71 |
| 20 | 2012 | 68 |
About Alexander M. Rush
Alexander M. Rush is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing and Computer Networks and Communications, having authored 118 papers that have together received 6.0k indexed citations. Recurring topics across this work include Topic Modeling (62 papers), Natural Language Processing Techniques (57 papers), Multimodal Machine Learning Applications (13 papers), Speech Recognition and Synthesis (11 papers), Advanced Text Analysis Techniques (7 papers), Neuroscience and Neural Engineering (6 papers), Text Readability and Simplification (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Artificial Intelligence (4.7k citations), Computer Vision and Pattern Recognition (1.4k citations), Signal Processing (295 citations), Health Informatics (30 citations) and Geography, Planning and Development (123 citations). Alexander M. Rush has collaborated with scholars based in United States, United Kingdom and Israel. Frequent co-authors include Yoon Kim, Sam Wiseman, David Sontag, Sebastian Gehrmann, Sumit Chopra, Stuart M. Shieber, Yacine Jernite, Yuntian Deng, Michael Auli and Michael J. Collins. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Nature Sustainability, Applied Physics Letters, Physical Review A and Tijdschrift voor Economische en Sociale Geografie.
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.