Ryan Kiros

16.3k total citations · 3 hit papers
11 papers, 5.3k citations indexed

About

Ryan Kiros is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, Ryan Kiros has authored 11 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Mathematical Physics. Recurrent topics in Ryan Kiros's work include Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Topic Modeling (3 papers). Ryan Kiros is often cited by papers focused on Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Topic Modeling (3 papers). Ryan Kiros collaborates with scholars based in Canada and United States. Ryan Kiros's co-authors include Rich Zemel, Aaron Courville, Kelvin Xu, Yoshua Bengio, Jimmy Ba, Kyunghyun Cho, Richard S. Zemel, Ruslan Salakhutdinov, Mengye Ren and Sanja Fidler and has published in prestigious journals such as ACM Transactions on Interactive Intelligent Systems, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Ryan Kiros

10 papers receiving 5.0k citations

Hit Papers

Show, Attend and Tell: Neural Image Caption Generation wi... 2014 2026 2018 2022 2015 2015 2014 1000 2.0k 3.0k 4.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
    2015 4.2k citations Kelvin Xu, Jimmy Ba et al. arXiv (Cornell University) profile →
  2. Skip-Thought Vectors
    2015 414 citations Ryan Kiros, Yukun Zhu et al. arXiv (Cornell University) profile →
  3. Multimodal Neural Language Models
    2014 299 citations Ryan Kiros, Ruslan Salakhutdinov et al. International Conference on Machine Learning profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan Kiros Canada 8 3.6k 3.0k 250 239 182 11 5.3k
Rich Zemel Canada 8 3.2k 0.9× 2.7k 0.9× 241 1.0× 233 1.0× 182 1.0× 8 5.0k
Kelvin Xu United States 6 3.0k 0.8× 2.3k 0.8× 223 0.9× 190 0.8× 177 1.0× 10 4.5k
Jimmy Ba Canada 14 3.2k 0.9× 2.7k 0.9× 256 1.0× 202 0.8× 240 1.3× 34 5.2k
Sicheng Zhao China 40 3.2k 0.9× 2.2k 0.8× 365 1.5× 206 0.9× 178 1.0× 162 5.6k
Jérôme Louradour France 11 1.6k 0.5× 2.1k 0.7× 337 1.3× 150 0.6× 150 0.8× 27 3.7k
Lu Jiang United States 28 2.5k 0.7× 1.9k 0.6× 207 0.8× 111 0.5× 137 0.8× 63 3.7k
Guoqiang Han China 37 2.0k 0.5× 1.4k 0.5× 250 1.0× 146 0.6× 196 1.1× 172 3.9k
Qi Wu China 38 4.3k 1.2× 2.9k 1.0× 229 0.9× 68 0.3× 167 0.9× 160 5.5k
Lei Zhu China 42 4.2k 1.2× 2.8k 0.9× 213 0.9× 534 2.2× 251 1.4× 206 6.3k

Countries citing papers authored by Ryan Kiros

Since Specialization
Citations

This map shows the geographic impact of Ryan Kiros'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 Ryan Kiros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Kiros more than expected).

Fields of papers citing papers by Ryan Kiros

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan Kiros. 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 Ryan Kiros. The network helps show where Ryan Kiros may publish in the future.

Co-authorship network of co-authors of Ryan Kiros

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

All Works

11 of 11 papers shown
1.
Soto, Axel J., Ryan Kiros, Vlado Kešelj, & Evangelos Milios. (2016). Machine learning meets visualization for extracting insights from text data. 2(2). 15–17.
2.
Ren, Mengye, Ryan Kiros, & Richard S. Zemel. (2015). Image Question Answering: A Visual Semantic Embedding Model and a New Dataset.. arXiv (Cornell University). 77 indexed citations
3.
Xu, Kelvin, Jimmy Ba, Ryan Kiros, et al.. (2015). Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. arXiv (Cornell University). 3. 2048–2057. 4210 indexed citations breakdown →
4.
Kiros, Ryan, Yukun Zhu, Ruslan Salakhutdinov, et al.. (2015). Skip-Thought Vectors. arXiv (Cornell University). 28. 3294–3302. 414 indexed citations breakdown →
5.
Soto, Axel J., Ryan Kiros, Vlado Kešelj, & Evangelos Milios. (2015). Exploratory Visual Analysis and Interactive Pattern Extraction from Semi-Structured Data. ACM Transactions on Interactive Intelligent Systems. 5(3). 1–36. 10 indexed citations
6.
Ren, Mengye, Ryan Kiros, & Richard S. Zemel. (2015). Exploring Models and Data for Image Question Answering. arXiv (Cornell University). 28. 2953–2961. 241 indexed citations
7.
Kiros, Ryan, Ruslan Salakhutdinov, & Rich Zemel. (2014). Multimodal Neural Language Models. International Conference on Machine Learning. 595–603. 299 indexed citations breakdown →
8.
Kiros, Ryan, Richard S. Zemel, & Ruslan Salakhutdinov. (2014). A Multiplicative Model for Learning Distributed Text-Based Attribute Representations. arXiv (Cornell University). 27. 2348–2356. 25 indexed citations
9.
Kiros, Ryan. (2013). Training Neural Networks with Stochastic Hessian-Free Optimization. arXiv (Cornell University). 4 indexed citations
10.
Neufeld, James, Ryan Kiros, Xinhua Zhang, Dale Schuurmans, & Yaoliang Yu. (2012). Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations. International Conference on Machine Learning. 1831–1838. 1 indexed citations
11.
Kiros, Ryan & Csaba Szepesvári. (2012). Deep Representations and Codes for Image Auto-Annotation. Neural Information Processing Systems. 25. 908–916. 27 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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