Sriram Govindan
- Computer Networks and Communications top 1%
- Information Systems top 0.5%
- Hardware and Architecture top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence
- Co-authors
- Anand SivasubramaniamBhuvan UrgaonkarAman KansalDi WangJeong-Hwan ChoiJie LiuAmitayu DasAndrea Baldini
- Topics
- Cloud Computing and Resource Management (34 papers)Parallel Computing and Optimization Techniques (19 papers)Software-Defined Networks and 5G (11 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Sriram Govindan
35 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 37
- Computer Networks and Communications 1.3k
- Information Systems 1.2k
- Hardware and Architecture 555
- Electrical and Electronic Engineering 319
- Artificial Intelligence 58
Countries citing papers authored by Sriram Govindan
This map shows the geographic impact of Sriram Govindan'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 Sriram Govindan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sriram Govindan more than expected).
Fields of papers citing papers by Sriram Govindan
This network shows the impact of papers produced by Sriram Govindan. 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 Sriram Govindan. The network helps show where Sriram Govindan may publish in the future.
Co-authorship network of co-authors of Sriram Govindan
This figure shows the co-authorship network connecting the top 25 collaborators of Sriram Govindan. A scholar is included among the top collaborators of Sriram Govindan 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 Sriram Govindan. Sriram Govindan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 2 | |
| 3 | 13 | |
| 4 | 15 | |
| 5 | 14 | |
| 6 | 13 | |
| 7 | Towards a leaner geo-distributed cloud infrastructure | 17 |
| 8 | Using dark fiber to displace diesel generators | 4 |
| 9 | PACMan: Performance Aware Virtual Machine Consolidation | 27 |
| 10 | 29 | |
| 11 | 9 | |
| 12 | 18 | |
| 13 | Algorithm Design for Performance Aware VM Consolidation | 20 |
| 14 | 33 | |
| 15 | 169 | |
| 16 | 31 | |
| 17 | 60 | |
| 18 | vPath: precise discovery of request processing paths from black-box observations of thread and network activities | 57 |
| 19 | 36 | |
| 20 | 131 |
About Sriram Govindan
Sriram Govindan is a scholar working on Hardware and Architecture, Information Systems and Computer Networks and Communications, having authored 35 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (34 papers), Parallel Computing and Optimization Techniques (19 papers) and Software-Defined Networks and 5G (11 papers). The work is most often cited by research in Hardware and Architecture (555 citations), Computer Networks and Communications (1.3k citations) and Information Systems (1.2k citations). Sriram Govindan has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Anand Sivasubramaniam, Bhuvan Urgaonkar, Aman Kansal, Di Wang, Jeong-Hwan Choi, Jie Liu, Amitayu Das, Andrea Baldini, Bikash Sharma and Jie Liu. Their work appears in journals such as IEEE Transactions on Computers, ACM Transactions on Computer Systems and ACM SIGPLAN Notices.
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.