Citations per year, relative to Mohammad Babaeizadeh Mohammad Babaeizadeh (= 1×)
peers
Xitong Gao
Countries citing papers authored by Mohammad Babaeizadeh
Since
Specialization
Citations
This map shows the geographic impact of Mohammad Babaeizadeh'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 Mohammad Babaeizadeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Babaeizadeh more than expected).
Fields of papers citing papers by Mohammad Babaeizadeh
This network shows the impact of papers produced by Mohammad Babaeizadeh. 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 Mohammad Babaeizadeh. The network helps show where Mohammad Babaeizadeh may publish in the future.
Co-authorship network of co-authors of Mohammad Babaeizadeh
This figure shows the co-authorship network connecting the top 25 collaborators of Mohammad Babaeizadeh.
A scholar is included among the top collaborators of Mohammad Babaeizadeh 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 Mohammad Babaeizadeh. Mohammad Babaeizadeh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
10 of 10 papers shown
1.
Kaiser, Łukasz, Mohammad Babaeizadeh, Piotr Miłoś, et al.. (2020). Model Based Reinforcement Learning for Atari. International Conference on Learning Representations.23 indexed citations
2.
Babaeizadeh, Mohammad & Golnaz Ghiasi. (2020). Adjustable Real-time Style Transfer. International Conference on Learning Representations.
3.
Nair, Suraj, Mohammad Babaeizadeh, Chelsea Finn, Sergey Levine, & Vikash Kumar. (2020). TRASS: Time Reversal as Self-Supervision. abs 1806 7851. 115–121.7 indexed citations
4.
Babaeizadeh, Mohammad, et al.. (2019). VideoFlow: A Flow-Based Generative Model for Video.32 indexed citations
Babaeizadeh, Mohammad, Paris Smaragdis, & Roy H. Campbell. (2017). A Simple yet Effective Method to Prune Dense Layers of Neural Networks.6 indexed citations
7.
Babaeizadeh, Mohammad, Iuri Frosio, Stephen Tyree, Jason Clemons, & Jan Kautz. (2016). GA3C: GPU-based A3C for Deep Reinforcement Learning.30 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.