Krishna R. Narayanan
About
In The Last Decade
Krishna R. Narayanan
166 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 123
- Electrical and Electronic Engineering 2.7k
- Computer Networks and Communications 2.5k
- Artificial Intelligence 690
- Computational Theory and Mathematics 266
- Molecular Biology 169
Countries citing papers authored by Krishna R. Narayanan
This map shows the geographic impact of Krishna R. Narayanan'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 Krishna R. Narayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna R. Narayanan more than expected).
Fields of papers citing papers by Krishna R. Narayanan
This network shows the impact of papers produced by Krishna R. Narayanan. 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 Krishna R. Narayanan. The network helps show where Krishna R. Narayanan may publish in the future.
Co-authorship network of co-authors of Krishna R. Narayanan
This figure shows the co-authorship network connecting the top 25 collaborators of Krishna R. Narayanan. A scholar is included among the top collaborators of Krishna R. Narayanan 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 Krishna R. Narayanan. Krishna R. Narayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 25 | |
| 5 | 4 | |
| 6 | 29 | |
| 7 | Bayesian Graph Neural Networks with Adaptive Connection Sampling | 16 |
| 8 | Semi-Implicit Graph Variational Auto-Encoders | 18 |
| 9 | Variational Graph Recurrent Neural Networks | 13 |
| 10 | 48 | |
| 11 | 6 | |
| 12 | Asynchronous Compute-and-Forward/Integer-Forcing with Qusai-Cyclic Codes | 1 |
| 13 | 83 | |
| 14 | 18 | |
| 15 | 12 | |
| 16 | 2 | |
| 17 | 16 | |
| 18 | 6 | |
| 19 | 172 | |
| 20 | 86 |
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.