John Heinlein
- Hardware and Architecture top 0.5%
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Artificial Intelligence
- Co-authors
- Kourosh GharachorlooMendel RosenblumDavid OfeltMark HorowitzJeffrey S. KuskinJoel BaxterMark HeinrichJohn L. Hennessy
- Topics
- Parallel Computing and Optimization Techniques (16 papers)Distributed systems and fault tolerance (8 papers)Interconnection Networks and Systems (8 papers)
- Journals
- ACM SIGPLAN NoticesACM SIGOPS Operating Systems ReviewACM SIGARCH Computer Architecture News
- Partner nations
- United States
In The Last Decade
John Heinlein
16 papers receiving 904 citations
Hit Papers
Peers
Comparison fields: 5 of 23
- Hardware and Architecture 927
- Computer Networks and Communications 905
- Electrical and Electronic Engineering 140
- Information Systems 131
- Artificial Intelligence 67
Countries citing papers authored by John Heinlein
This map shows the geographic impact of John Heinlein'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 Heinlein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Heinlein more than expected).
Fields of papers citing papers by John Heinlein
This network shows the impact of papers produced by John Heinlein. 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 Heinlein. The network helps show where John Heinlein may publish in the future.
Co-authorship network of co-authors of John Heinlein
This figure shows the co-authorship network connecting the top 25 collaborators of John Heinlein. A scholar is included among the top collaborators of John Heinlein 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 Heinlein. John Heinlein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 152 | |
| 3 | 10 | |
| 4 | Optimized multiprocessor communication and synchronization using a programmable protocol engine | 7 |
| 5 | The Stanford FLASH multiprocessorbreakdown → | 504 |
| 6 | 73 | |
| 7 | 6 | |
| 8 | 66 | |
| 9 | 54 | |
| 10 | 76 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | Mable: A Technique for Efficient Machine Simulation | 5 |
| 14 | Integrating multiple communication paradigms in high performance multiprocessors | 4 |
| 15 | 37 | |
| 16 | 9 |
About John Heinlein
John Heinlein is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (16 papers), Distributed systems and fault tolerance (8 papers) and Interconnection Networks and Systems (8 papers). The work is most often cited by research in Hardware and Architecture (927 citations), Computer Networks and Communications (905 citations) and Software (27 citations). John Heinlein has collaborated with scholars based in United States. Frequent co-authors include Kourosh Gharachorloo, Mendel Rosenblum, David Ofelt, Mark Horowitz, Jeffrey S. Kuskin, Joel Baxter, Mark Heinrich, John L. Hennessy, Richard Simoni and D. Nakahira. Their work appears in journals such as ACM SIGPLAN Notices, ACM SIGOPS Operating Systems Review and ACM SIGARCH Computer Architecture News.
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.