Dilan Görür

889 total citations
14 papers, 442 citations indexed

About

Dilan Görür is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Dilan Görür has authored 14 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Dilan Görür's work include Bayesian Methods and Mixture Models (9 papers), Neural Networks and Applications (2 papers) and Statistical Methods and Inference (2 papers). Dilan Görür is often cited by papers focused on Bayesian Methods and Mixture Models (9 papers), Neural Networks and Applications (2 papers) and Statistical Methods and Inference (2 papers). Dilan Görür collaborates with scholars based in United Kingdom, Germany and United States. Dilan Görür's co-authors include Yee Whye Teh, Carl Edward Rasmussen, Zoubin Ghahramani, Frank Jäkel, Uğur Halıcı, Kemal Leblebi̇ci̇oğlu, Fuat Özgen, Katherine Heller, Jan Gasthaus and Frank Wood and has published in prestigious journals such as Journal of Computational and Graphical Statistics, Journal of Computer Science and Technology and Oxford University Research Archive (ORA) (University of Oxford).

In The Last Decade

Dilan Görür

14 papers receiving 421 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dilan Görür United Kingdom 10 294 106 71 65 61 14 442
Yunus Saatçi United Kingdom 6 193 0.7× 37 0.3× 86 1.2× 109 1.7× 19 0.3× 6 375
Bernhard Schoelkopf Germany 11 237 0.8× 34 0.3× 35 0.5× 90 1.4× 147 2.4× 19 483
Seppo Virtanen Finland 9 77 0.3× 32 0.3× 21 0.3× 48 0.7× 30 0.5× 27 301
LinChih-Jen 7 287 1.0× 18 0.2× 60 0.8× 191 2.9× 25 0.4× 10 518
Povilas Daniušis Lithuania 5 163 0.6× 22 0.2× 33 0.5× 30 0.5× 64 1.0× 11 277
Bert Kappen Netherlands 14 261 0.9× 36 0.3× 275 3.9× 248 3.8× 150 2.5× 31 624
Jan Lemeire Belgium 9 172 0.6× 31 0.3× 37 0.5× 36 0.6× 11 0.2× 43 387
Adrian Corduneanu United States 7 230 0.8× 42 0.4× 61 0.9× 62 1.0× 14 0.2× 10 322
Yuta Tsuboi Japan 11 353 1.2× 58 0.5× 54 0.8× 70 1.1× 6 0.1× 21 441

Countries citing papers authored by Dilan Görür

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Dilan Görür

This figure shows the co-authorship network connecting the top 25 collaborators of Dilan Görür. A scholar is included among the top collaborators of Dilan Görür 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 Dilan Görür. Dilan Görür is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Mirzadeh, Seyed Iman, Mehrdad Farajtabar, Dilan Görür, Razvan Pascanu, & Hassan Ghasemzadeh. (2021). Linear Mode Connectivity in Multitask and Continual Learning. 18 indexed citations
2.
Nalisnick, Eric, Akihiro Matsukawa, Yee Whye Teh, Dilan Görür, & Balaji Lakshminarayanan. (2019). Hybrid Models with Deep and Invertible Features. arXiv (Cornell University). 4723–4732. 4 indexed citations
3.
Görür, Dilan, et al.. (2012). Scalable Inference on Kingman's Coalescent using Pair Similarity. International Conference on Artificial Intelligence and Statistics. 440–448. 5 indexed citations
4.
Görür, Dilan & Yee Whye Teh. (2011). Concave-Convex Adaptive Rejection Sampling. Journal of Computational and Graphical Statistics. 20(3). 670–691. 22 indexed citations
5.
Görür, Dilan & Carl Edward Rasmussen. (2010). Dirichlet Process Gaussian Mixture Models: Choice of the Base Distribution. Journal of Computer Science and Technology. 25(4). 653–664. 111 indexed citations
6.
Heller, Katherine, Yee Whye Teh, & Dilan Görür. (2009). Infinite Hierarchical Hidden Markov Models. UCL Discovery (University College London). 224–231. 14 indexed citations
7.
Teh, Yee Whye & Dilan Görür. (2009). Indian Buffet Processes with Power-law Behavior. Oxford University Research Archive (ORA) (University of Oxford). 22. 1838–1846. 42 indexed citations
8.
Görür, Dilan & Carl Edward Rasmussen. (2009). Nonparametric mixtures of factor analyzers. 6. 708–711. 2 indexed citations
9.
Gasthaus, Jan, Frank Wood, Dilan Görür, & Yee Whye Teh. (2008). Dependent Dirichlet Process Spike Sorting. UCL Discovery (University College London). 21. 497–504. 21 indexed citations
10.
Görür, Dilan & Yee Whye Teh. (2008). An Efficient Sequential Monte Carlo Algorithm for Coalescent Clustering. UCL Discovery (University College London). 21. 521–528. 13 indexed citations
11.
Teh, Yee Whye, Dilan Görür, & Zoubin Ghahramani. (2007). Stick-breaking Construction for the Indian Buffet Process. UCL Discovery (University College London). 556–563. 123 indexed citations
12.
Görür, Dilan, et al.. (2007). Dirichlet Process Mixtures of Factor Analysers. MPG.PuRe (Max Planck Society). 1 indexed citations
13.
Görür, Dilan, Frank Jäkel, & Carl Edward Rasmussen. (2006). A choice model with infinitely many latent features. 361–368. 30 indexed citations
14.
Görür, Dilan, et al.. (2003). Sleep spindles detection using short time Fourier transform and neural networks. OpenMETU (Middle East Technical University). 1631–1636. 36 indexed citations

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.

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