Prince Mahajan
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Signal Processing
- Hardware and Architecture
- Co-authors
- Mike DahlinLorenzo AlvisiSrinath SettyAllen ClementSangmin LeeMichael WalfishNavendu JainPraveen Yalagandula
- Topics
- Distributed systems and fault tolerance (6 papers)Peer-to-Peer Network Technologies (3 papers)Cloud Computing and Resource Management (3 papers)
- Journals
- ACM Transactions on Computer SystemsOperating Systems Design and ImplementationNetworked Systems Design and Implementation
- Partner nations
- United States
In The Last Decade
Prince Mahajan
9 papers receiving 278 citations
Peers
Comparison fields: 5 of 20
- Computer Networks and Communications 251
- Information Systems 183
- Artificial Intelligence 100
- Signal Processing 23
- Hardware and Architecture 22
Countries citing papers authored by Prince Mahajan
This map shows the geographic impact of Prince Mahajan'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 Prince Mahajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prince Mahajan more than expected).
Fields of papers citing papers by Prince Mahajan
This network shows the impact of papers produced by Prince Mahajan. 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 Prince Mahajan. The network helps show where Prince Mahajan may publish in the future.
Co-authorship network of co-authors of Prince Mahajan
This figure shows the co-authorship network connecting the top 25 collaborators of Prince Mahajan. A scholar is included among the top collaborators of Prince Mahajan 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 Prince Mahajan. Prince Mahajan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | Robustness in the Salus scalable block store | 36 |
| 3 | Highly available storage with minimal trust | 2 |
| 4 | 118 | |
| 5 | 43 | |
| 6 | 9 | |
| 7 | 28 | |
| 8 | PRISM: PRecision-Integrated Scalable Monitoring | 1 |
| 9 | STAR: self-tuning aggregation for scalable monitoring | 39 |
About Prince Mahajan
Prince Mahajan is a scholar working on Computer Networks and Communications, Hardware and Architecture and Information Systems, having authored 9 papers that have together received 309 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (6 papers), Peer-to-Peer Network Technologies (3 papers) and Cloud Computing and Resource Management (3 papers). The work is most often cited by research in Computer Networks and Communications (251 citations), Information Systems (183 citations) and Hardware and Architecture (22 citations). Prince Mahajan has collaborated with scholars based in United States. Frequent co-authors include Mike Dahlin, Lorenzo Alvisi, Srinath Setty, Allen Clement, Sangmin Lee, Michael Walfish, Navendu Jain, Praveen Yalagandula, Yin Zhang⋆ and Dmitry Kit. Their work appears in journals such as ACM Transactions on Computer Systems, Operating Systems Design and Implementation and Networked Systems Design and Implementation.
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.