Prajit Ramachandran

2.1k total citations
6 papers, 154 citations indexed

About

Prajit Ramachandran is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Artificial Intelligence. According to data from OpenAlex, Prajit Ramachandran has authored 6 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Networks and Communications, 2 papers in Statistical and Nonlinear Physics and 2 papers in Artificial Intelligence. Recurrent topics in Prajit Ramachandran's work include Optimization and Search Problems (1 paper), Smart Grid Energy Management (1 paper) and DNA and Biological Computing (1 paper). Prajit Ramachandran is often cited by papers focused on Optimization and Search Problems (1 paper), Smart Grid Energy Management (1 paper) and DNA and Biological Computing (1 paper). Prajit Ramachandran collaborates with scholars based in United States, United Kingdom and Algeria. Prajit Ramachandran's co-authors include Quoc V. Le, Mark Rowland, Yoshua Bengio, Rishabh Agarwal, William Fedus, Will Dabney, Hugo Larochelle, Alec Yasinsac, Ashish Vaswani and Niki Parmar and has published in prestigious journals such as arXiv (Cornell University), International Conference on Learning Representations and Uncertainty in Artificial Intelligence.

In The Last Decade

Prajit Ramachandran

6 papers receiving 131 citations

Peers

Prajit Ramachandran
Comparison fields: 5 of 44
  • Artificial Intelligence 118
  • Computer Vision and Pattern Recognition 50
  • Computer Networks and Communications 20
  • Electrical and Electronic Engineering 12
  • Information Systems 11
Replace Kavosh Asadi with:
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Qingqing Cai China
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Citations per field, relative to Prajit Ramachandran
Prajit Ramachandran · 1×
Citations per year, relative to Prajit Ramachandran
Prajit Ramachandran · 1×

Countries citing papers authored by Prajit Ramachandran

Since Specialization
Citations

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

Fields of papers citing papers by Prajit Ramachandran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prajit Ramachandran

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

All Works

6 of 6 papers shown
# Work Indexed citations
1 32
2
Studying Stand-Alone Self-Attention in Vision Models
3
3
Diversity and Depth in Per-Example Routing Models
9
4 98
5
Stein variational policy gradient
4
6 8

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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