Saurabh Jha
- Computer Networks and Communications top 10%
- Artificial Intelligence top 10%
- Automotive Engineering top 10%
- Information Systems top 10%
- Software top 5%
- Co-authors
- Ravishankar K. IyerZbigniew KalbarczykSubho S. BanerjeeTimothy TsaiMichael B. SullivanSiva Kumar Sastry HariYiran LiHuynh Phung Huynh
- Topics
- Software System Performance and Reliability (9 papers)Cloud Computing and Resource Management (8 papers)Distributed systems and fault tolerance (6 papers)
- Journals
- Proceedings of the VLDB EndowmentIEEE Transactions on ReliabilityIEEE Transactions on Dependable and Secure Computing
- Partner nations
- United StatesFinlandIndia
In The Last Decade
Saurabh Jha
27 papers receiving 444 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 155
- Artificial Intelligence 146
- Automotive Engineering 116
- Information Systems 102
- Software 73
Countries citing papers authored by Saurabh Jha
This map shows the geographic impact of Saurabh Jha'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 Saurabh Jha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh Jha more than expected).
Fields of papers citing papers by Saurabh Jha
This network shows the impact of papers produced by Saurabh Jha. 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 Saurabh Jha. The network helps show where Saurabh Jha may publish in the future.
Co-authorship network of co-authors of Saurabh Jha
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh Jha. A scholar is included among the top collaborators of Saurabh Jha 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 Saurabh Jha. Saurabh Jha 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 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | FIRM: An intelligent fine-grained resource management framework for SLO-oriented microservices | 12 |
| 10 | Measuring Congestion in High-Performance Datacenter Interconnects | 10 |
| 11 | A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. | 3 |
| 12 | 109 | |
| 13 | 9 | |
| 14 | 7 | |
| 15 | 78 | |
| 16 | 3 | |
| 17 | 16 | |
| 18 | 53 | |
| 19 | 3 | |
| 20 | 3 |
About Saurabh Jha
Saurabh Jha is a scholar working on Software, Computer Networks and Communications and Hardware and Architecture, having authored 29 papers that have together received 464 indexed citations. Recurring topics across this work include Software System Performance and Reliability (9 papers), Cloud Computing and Resource Management (8 papers) and Distributed systems and fault tolerance (6 papers). The work is most often cited by research in Health Informatics (40 citations), Software (73 citations) and Automotive Engineering (116 citations). Saurabh Jha has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Ravishankar K. Iyer, Zbigniew Kalbarczyk, Subho S. Banerjee, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Yiran Li, Huynh Phung Huynh, Xuntao Cheng and Mian Lu. Their work appears in journals such as Proceedings of the VLDB Endowment, IEEE Transactions on Reliability and IEEE Transactions on Dependable and Secure Computing.
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.