John M. Calandrino
- Hardware and Architecture top 1%
- Computer Networks and Communications top 2%
- Computational Theory and Mathematics top 10%
- Information Systems top 10%
- Electrical and Electronic Engineering
- Co-authors
- James H. AndersonUmaMaheswari C. DeviAaron BlockHennadiy LeontyevBjörn B. BrandenburgScott HahnTong LiJessica C. Young
- Topics
- Real-Time Systems Scheduling (13 papers)Parallel Computing and Optimization Techniques (10 papers)Embedded Systems Design Techniques (6 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputational Theory and Mathematics
- Journals
- ACM SIGBED ReviewCarolina Digital Repository (University of North Carolina at Chapel Hill)
- Partner nations
- United States
In The Last Decade
John M. Calandrino
13 papers receiving 668 citations
Peers
Comparison fields: 5 of 16
- Hardware and Architecture 710
- Computer Networks and Communications 450
- Computational Theory and Mathematics 64
- Information Systems 55
- Electrical and Electronic Engineering 23
Countries citing papers authored by John M. Calandrino
This map shows the geographic impact of John M. Calandrino'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 John M. Calandrino with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John M. Calandrino more than expected).
Fields of papers citing papers by John M. Calandrino
This network shows the impact of papers produced by John M. Calandrino. 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 John M. Calandrino. The network helps show where John M. Calandrino may publish in the future.
Co-authorship network of co-authors of John M. Calandrino
This figure shows the co-authorship network connecting the top 25 collaborators of John M. Calandrino. A scholar is included among the top collaborators of John M. Calandrino 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 John M. Calandrino. John M. Calandrino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 43 | |
| 3 | 81 | |
| 4 | 48 | |
| 5 | 94 | |
| 6 | LinSched: The Linux Scheduler Simulator. | 17 |
| 7 | 89 | |
| 8 | 33 | |
| 9 | 89 | |
| 10 | Quantum Support for Multiprocessor Pfair Scheduling in Linux | 3 |
| 11 | 42 | |
| 12 | 195 | |
| 13 | 9 |
About John M. Calandrino
John M. Calandrino is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computational Theory and Mathematics, having authored 13 papers that have together received 744 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (13 papers), Parallel Computing and Optimization Techniques (10 papers) and Embedded Systems Design Techniques (6 papers). The work is most often cited by research in Hardware and Architecture (710 citations), Computer Networks and Communications (450 citations) and Computational Theory and Mathematics (64 citations). John M. Calandrino has collaborated with scholars based in United States. Frequent co-authors include James H. Anderson, UmaMaheswari C. Devi, Aaron Block, Hennadiy Leontyev, Björn B. Brandenburg, Scott Hahn, Tong Li and Jessica C. Young. Their work appears in journals such as ACM SIGBED Review and Carolina Digital Repository (University of North Carolina at Chapel Hill).
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.