Elman Mansimov

3.1k total citations · 1 hit paper
15 papers, 1.4k citations indexed

About

Elman Mansimov is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Elman Mansimov has authored 15 papers receiving a total of 1.4k 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 2 papers in Information Systems. Recurrent topics in Elman Mansimov's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (3 papers). Elman Mansimov is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Speech and dialogue systems (3 papers). Elman Mansimov collaborates with scholars based in Canada, United States and Hong Kong. Elman Mansimov's co-authors include Nitish Srivastava, Kyunghyun Cho, Jason Lee, Richard Bonneau, Yi Zhang, Lei Shu, Yixuan Su, Deng Cai, Roger Grosse and Yuhuai Wu and has published in prestigious journals such as Nature Communications, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Elman Mansimov

14 papers receiving 1.3k citations

Hit Papers

Unsupervised Learning of Video Representations using LSTMs 2015 2026 2018 2022 2015 250 500 750

Peers

Elman Mansimov
Comparison fields: 5 of 116
  • Computer Vision and Pattern Recognition 788
  • Artificial Intelligence 702
  • Biomedical Engineering 106
  • Signal Processing 105
  • Control and Systems Engineering 54
Replace Jun Wan with:
Jun Wan China
Pavel Paclı́k Netherlands
Ezequiel López‐Rubio Spain
Tehmina Khalil Pakistan
Hao Zhou China
Deli Zhao China
Xia De-shen China
Lei Huang China
Yao Lu China
Jun Wan China View profile →
Citations per field, relative to Elman Mansimov
Elman Mansimov · 1×
Citations per year, relative to Elman Mansimov
Elman Mansimov · 1×

Countries citing papers authored by Elman Mansimov

Since Specialization
Citations

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

Fields of papers citing papers by Elman Mansimov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elman Mansimov

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 3
2 1
3 0
4 5
5 1
6 50
7 23
8 7
9 53
10 197
11
Simple Nearest Neighbor Policy Method for Continuous Control Tasks
2
12
Second-order Optimization for Deep Reinforcement Learning using Kronecker-factored Approximation
3
13
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
27
14 7
15
Unsupervised Learning of Video Representations using LSTMs breakdown →
991

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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