Naren Ramakrishnan
- Artificial Intelligence top 0.5%
- Information Systems top 0.5%
- Statistical and Nonlinear Physics top 0.5%
- Computer Networks and Communications top 2%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Chang‐Tien LuLiang ZhaoAnanth GramaFeng ChenBenjamin J. KellerManish MarwahMadhav MaratheP. J. Butler
- Topics
- Data-Driven Disease Surveillance (47 papers)Complex Network Analysis Techniques (40 papers)Data Visualization and Analytics (34 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Naren Ramakrishnan
342 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 189
- Artificial Intelligence 2.1k
- Information Systems 1.1k
- Statistical and Nonlinear Physics 822
- Computer Networks and Communications 734
- Computer Vision and Pattern Recognition 704
Countries citing papers authored by Naren Ramakrishnan
This map shows the geographic impact of Naren Ramakrishnan'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 Naren Ramakrishnan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naren Ramakrishnan more than expected).
Fields of papers citing papers by Naren Ramakrishnan
This network shows the impact of papers produced by Naren Ramakrishnan. 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 Naren Ramakrishnan. The network helps show where Naren Ramakrishnan may publish in the future.
Co-authorship network of co-authors of Naren Ramakrishnan
This figure shows the co-authorship network connecting the top 25 collaborators of Naren Ramakrishnan. A scholar is included among the top collaborators of Naren Ramakrishnan 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 Naren Ramakrishnan. Naren Ramakrishnan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 11 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 11 | |
| 6 | Neural Abstractive Text Summarization with Sequence-to-Sequence Models: A Survey | 3 |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 51 | |
| 10 | 2 | |
| 11 | Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues | 11 |
| 12 | Exploring Out-of-turn Interactions with Websites | 8 |
| 13 | Modal Logic, Temporal Models and Neural Circuits: What Connects Them | 1 |
| 14 | Algorithms for Feature Selection in Rank-Order Spaces | 2 |
| 15 | Redescription mining: structure theory and algorithms | 29 |
| 16 | Spatial aggregation for qualitative assessment of scientific computations | 2 |
| 17 | Gaussian process models of spatial aggregation algorithms | 1 |
| 18 | 3 | |
| 19 | PYTHIA-II: a knowledge/database system for managing performance data and recommending scientific software | 6 |
| 20 | Ambiguity-directed sampling for qualitative analysis of sparse data from spatially-distributed physical systems | 8 |
About Naren Ramakrishnan
Naren Ramakrishnan is a scholar working on Artificial Intelligence, Signal Processing and Statistical and Nonlinear Physics, having authored 355 papers that have together received 5.9k indexed citations. Recurring topics across this work include Data-Driven Disease Surveillance (47 papers), Complex Network Analysis Techniques (40 papers) and Data Visualization and Analytics (34 papers). The work is most often cited by research in Modeling and Simulation (322 citations), Statistical and Nonlinear Physics (822 citations) and Artificial Intelligence (2.1k citations). Naren Ramakrishnan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Chang‐Tien Lu, Liang Zhao, Ananth Grama, Feng Chen, Benjamin J. Keller, Manish Marwah, Madhav Marathe, P. J. Butler, Fang Jin and Chris North. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.