Çaǧlar Gülçehre
- Artificial Intelligence top 1%
- Topic Modeling 7
- Reinforcement Learning in Robotics 7
- Natural Language Processing Techniques 7
- Neural Networks and Applications 5
- Neural Networks and Reservoir Computing 2
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- Multimodal Machine Learning Applications 5
- Signal Processing top 5%
- Music and Audio Processing 2
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- Ferroelectric and Negative Capacitance Devices 2
- Co-authors
- Yoshua BengioRazvan PascanuKyunghyun ChoJun‐Young ChungYann DauphinRamesh NallapatiBowen ZhouSungjin Ahn
- Journals
- Neural Computation (2 papers)Computer Speech & Language (1 paper)Journal on Multimodal User Interfaces (1 paper)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Çaǧlar Gülçehre
23 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Artificial Intelligence 1.0k
- Computer Vision and Pattern Recognition 526
- Signal Processing 188
- Experimental and Cognitive Psychology 169
- Computational Mathematics 3
Countries citing papers authored by Çaǧlar Gülçehre
This map shows the geographic impact of Çaǧlar Gülçehre'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 Çaǧlar Gülçehre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Çaǧlar Gülçehre more than expected).
Fields of papers citing papers by Çaǧlar Gülçehre
This network shows the impact of papers produced by Çaǧlar Gülçehre. 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 Çaǧlar Gülçehre. The network helps show where Çaǧlar Gülçehre may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Çaǧlar Gülçehre, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | Improving the Gating Mechanism of Recurrent Neural Networks | 2020 | 5 |
| 5 | RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. | 2020 | 2 |
| 6 | Critic Regularized Regression | 2020 | 1 |
| 7 | Stabilizing Transformers for Reinforcement Learning | 2020 | 9 |
| 8 | 2020 | 2 | |
| 9 | 2019 | 51 | |
| 10 | Sample-efficient adaptive text-to-speech | 2018 | 16 |
| 11 | Intrinsic Social Motivation via Causal Influence in Multi-Agent RL | 2018 | 9 |
| 12 | Memory Augmented Neural Networks for Natural Language Processing | 2017 | 1 |
| 13 | Plan, Attend, Generate: Planning for Sequence-to-Sequence Models | 2017 | 6 |
| 14 | 2017 | 2 | |
| 15 | 2015 | 261 | |
| 16 | 2015 | 263 | |
| 17 | 2015 | 24 | |
| 18 | Identifying and attacking the saddle point problem in high-dimensional non-convex optimization | 2014 | 231 |
| 19 | How to Construct Deep Recurrent Neural Networksbreakdown → | 2014 | 400 |
| 20 | Learned-norm pooling for deep neural networks. | 2013 | 7 |
About Çaǧlar Gülçehre
Çaǧlar Gülçehre is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Computer Science Applications and Safety Research, having authored 26 papers that have together received 1.7k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Reinforcement Learning in Robotics (7 papers), Natural Language Processing Techniques (7 papers), Neural Networks and Applications (5 papers), Multimodal Machine Learning Applications (5 papers), Neural Networks and Reservoir Computing (2 papers), Ferroelectric and Negative Capacitance Devices (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Computer Vision and Pattern Recognition (526 citations), Signal Processing (188 citations), Experimental and Cognitive Psychology (169 citations) and Computational Mathematics (3 citations). Çaǧlar Gülçehre has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Yoshua Bengio, Razvan Pascanu, Kyunghyun Cho, Kyunghyun Cho, Jun‐Young Chung, Yann Dauphin, Ramesh Nallapati, Bowen Zhou, Sungjin Ahn and Surya Ganguli. Their work appears in journals such as Neural Computation, Computer Speech & Language, Journal on Multimodal User Interfaces, Empirical Methods in Natural Language Processing and arXiv (Cornell University).
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.