Irfan Pyarali
- Computer Networks and Communications top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computational Theory and Mathematics
- Co-authors
- Douglas C. SchmidtRon K. CytronCarlos O’RyanAniruddha GokhaleTimothy H. HarrisonNanbor WangChristopher GillJames C. Hu
- Topics
- Real-Time Systems Scheduling (18 papers)Distributed systems and fault tolerance (16 papers)Embedded Systems Design Techniques (8 papers)
- Partner nations
- United States
In The Last Decade
Irfan Pyarali
22 papers receiving 320 citations
Peers
Comparison fields: 5 of 38
- Computer Networks and Communications 264
- Hardware and Architecture 197
- Artificial Intelligence 117
- Information Systems 104
- Computational Theory and Mathematics 23
Countries citing papers authored by Irfan Pyarali
This map shows the geographic impact of Irfan Pyarali'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 Irfan Pyarali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irfan Pyarali more than expected).
Fields of papers citing papers by Irfan Pyarali
This network shows the impact of papers produced by Irfan Pyarali. 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 Irfan Pyarali. The network helps show where Irfan Pyarali may publish in the future.
Co-authorship network of co-authors of Irfan Pyarali
This figure shows the co-authorship network connecting the top 25 collaborators of Irfan Pyarali. A scholar is included among the top collaborators of Irfan Pyarali 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 Irfan Pyarali. Irfan Pyarali 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 | 27 | |
| 3 | 14 | |
| 4 | 7 | |
| 5 | Patterns for providing real-time guarantees in doc middleware | 1 |
| 6 | 13 | |
| 7 | 32 | |
| 8 | 33 | |
| 9 | 22 | |
| 10 | 12 | |
| 11 | 13 | |
| 12 | 28 | |
| 13 | Applying optimization principle patterns to design real-time ORBs | 33 |
| 14 | Applying Optimization Principle Patterns to Real-time ORBs | 8 |
| 15 | 9 | |
| 16 | 19 | |
| 17 | 24 | |
| 18 | High performance web servers on windows NT design and performance | 10 |
| 19 | Asynchronous completion token | 7 |
| 20 | Design and Performance of an Object-Oriented Framework for High-Speed Electronic Medical Imaging. | 27 |
About Irfan Pyarali
Irfan Pyarali is a scholar working on Hardware and Architecture, Computer Networks and Communications and Development, having authored 24 papers that have together received 377 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (18 papers), Distributed systems and fault tolerance (16 papers) and Embedded Systems Design Techniques (8 papers). The work is most often cited by research in Hardware and Architecture (197 citations), Computer Networks and Communications (264 citations) and Information Systems (104 citations). Irfan Pyarali has collaborated with scholars based in United States. Frequent co-authors include Douglas C. Schmidt, Ron K. Cytron, Carlos O’Ryan, Aniruddha Gokhale, Timothy H. Harrison, Nanbor Wang, Christopher Gill, James C. Hu, Jeff Parsons and Fred Kuhns. Their work appears in journals such as Proceedings of the IEEE, Journal of Agricultural and Food Chemistry 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.