Srinivas Narayana
- Computer Networks and Communications top 1%
- Artificial Intelligence top 5%
- Hardware and Architecture top 5%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Co-authors
- Jennifer RexfordS. MuthukrishnanOri RottenstreichVibhaalakshmi SivaramanPrateesh GoyalMohammad AlizadehAnirudh SivaramanChanghoon Kim
- Topics
- Software-Defined Networks and 5G (15 papers)Network Traffic and Congestion Control (10 papers)Parallel Computing and Optimization Techniques (9 papers)
- Partner nations
- United StatesNetherlandsIndia
In The Last Decade
Srinivas Narayana
29 papers receiving 917 citations
Hit Papers
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 885
- Artificial Intelligence 227
- Hardware and Architecture 186
- Information Systems 184
- Electrical and Electronic Engineering 144
Countries citing papers authored by Srinivas Narayana
This map shows the geographic impact of Srinivas Narayana'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 Srinivas Narayana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srinivas Narayana more than expected).
Fields of papers citing papers by Srinivas Narayana
This network shows the impact of papers produced by Srinivas Narayana. 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 Srinivas Narayana. The network helps show where Srinivas Narayana may publish in the future.
Co-authorship network of co-authors of Srinivas Narayana
This figure shows the co-authorship network connecting the top 25 collaborators of Srinivas Narayana. A scholar is included among the top collaborators of Srinivas Narayana 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 Srinivas Narayana. Srinivas Narayana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 9 | |
| 4 | 15 | |
| 5 | 4 | |
| 6 | 22 | |
| 7 | 11 | |
| 8 | Elasticity Detection: A Building Block for Delay-Sensitive Congestion Control | 1 |
| 9 | 7 | |
| 10 | 4 | |
| 11 | Smoking Out the Heavy-Hitter Flows with HashPipe. | 6 |
| 12 | Compiling path queries | 52 |
| 13 | 8 | |
| 14 | 27 | |
| 15 | 22 | |
| 16 | 13 | |
| 17 | 4 | |
| 18 | 67 | |
| 19 | Sigma II: A Tool Kit for Building Parallelizing Compilers and Performance Analysis Systems | 25 |
| 20 | 1 |
About Srinivas Narayana
Srinivas Narayana is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 31 papers that have together received 947 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (15 papers), Network Traffic and Congestion Control (10 papers) and Parallel Computing and Optimization Techniques (9 papers). The work is most often cited by research in Computer Networks and Communications (885 citations), Hardware and Architecture (186 citations) and Information Systems (184 citations). Srinivas Narayana has collaborated with scholars based in United States, Netherlands and India. Frequent co-authors include Jennifer Rexford, S. Muthukrishnan, Ori Rottenstreich, Vibhaalakshmi Sivaraman, Prateesh Goyal, Mohammad Alizadeh, Anirudh Sivaraman, Changhoon Kim, Vimalkumar Jeyakumar and Venkat Arun. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, Scientific Programming and IETE Technical Review.
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.