Dilan Görür
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models
- Gaussian Processes and Bayesian Inference
Papers in
-
- Bayesian Methods and Mixture Models 9
- Neural Networks and Applications 3
-
- Blind Source Separation Techniques 2
- Data Management and Algorithms 2
- Co-authors
- Yee Whye Teh (6 shared papers)Carl Edward Rasmussen (4 shared papers)Zoubin Ghahramani (1 shared paper)Frank Jäkel (1 shared paper)Uğur Halıcı (1 shared paper)Fuat Özgen (1 shared paper)Kemal Leblebi̇ci̇oğlu (1 shared paper)Frank Wood (1 shared paper)
- Journals
- Journal of Computational and Graphical Statistics (1 paper)Journal of Computer Science and Technology (1 paper)Lecture notes in computer science (1 paper)OpenMETU (Middle East Technical University) (1 paper)Cambridge University Engineering Department Publications Database (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Dilan Görür
14 papers receiving 462 citations
Peers
Comparison fields: 5 of 85
- Statistics and Probability 108
- Artificial Intelligence 304
- Signal Processing 78
- Cognitive Neuroscience 68
- Computer Vision and Pattern Recognition 63
Countries citing papers authored by Dilan Görür
This map shows the geographic impact of Dilan Görür'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 Dilan Görür with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dilan Görür more than expected).
Fields of papers citing papers by Dilan Görür
This network shows the impact of papers produced by Dilan Görür. 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 Dilan Görür. The network helps show where Dilan Görür may publish in the future.
Co-authors
The 18 scholars most cited alongside Dilan Görür, 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 | Stick-breaking Construction for the Indian Buffet Process | 2007 | 128 |
| 2 | 2010 | 127 | |
| 3 | Indian Buffet Processes with Power-law Behavior | 2009 | 43 |
| 4 | 2003 | 39 | |
| 5 | 2006 | 34 | |
| 6 | 2011 | 26 | |
| 7 | Dependent Dirichlet Process Spike Sorting | 2008 | 22 |
| 8 | Linear Mode Connectivity in Multitask and Continual Learning | 2021 | 19 |
| 9 | Infinite Hierarchical Hidden Markov Models | 2009 | 15 |
| 10 | An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering | 2008 | 13 |
| 11 | 2004 | 6 | |
| 12 | Scalable Inference on Kingman's Coalescent using Pair Similarity | 2012 | 5 |
| 13 | 2009 | 2 | |
| 14 | Dirichlet Process Mixtures of Factor Analysers | 2007 | 1 |
About Dilan Görür
Dilan Görür is a scholar working on Artificial Intelligence, Signal Processing, Statistics and Probability, Cognitive Neuroscience and Food Science, having authored 14 papers that have together received 480 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (9 papers), Neural Networks and Applications (3 papers), Sensory Analysis and Statistical Methods (2 papers), Statistical Methods and Inference (2 papers), Blind Source Separation Techniques (2 papers), Neural dynamics and brain function (2 papers), Data Management and Algorithms (2 papers) and Advanced Image and Video Retrieval Techniques (1 paper). The work is most often cited by research in Statistics and Probability (108 citations), Artificial Intelligence (304 citations), Signal Processing (78 citations), Cognitive Neuroscience (68 citations) and Computer Vision and Pattern Recognition (63 citations). Dilan Görür has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Yee Whye Teh, Carl Edward Rasmussen, Zoubin Ghahramani, Frank Jäkel, Uğur Halıcı, Fuat Özgen, Kemal Leblebi̇ci̇oğlu, Frank Wood, Jan Gasthaus and Katherine Heller. Their work appears in journals such as Journal of Computational and Graphical Statistics, Journal of Computer Science and Technology, Lecture notes in computer science, OpenMETU (Middle East Technical University) and Cambridge University Engineering Department Publications Database.
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.