M. Saksena
- Hardware and Architecture top 1%
- Real-Time Systems Scheduling 25
- Embedded Systems Design Techniques 18
- Parallel Computing and Optimization Techniques 6
-
- Petri Nets in System Modeling 8
- Formal Methods in Verification 4
-
- Distributed systems and fault tolerance 7
- Software top 10%
- Artificial Intelligence top 10%
- Advanced Software Engineering Methodologies 3
-
- Scheduling and Optimization Algorithms 2
- Co-authors
- Yun WangR. GerberSeongsoo HongMinsoo RyuDong-In KangP. FreedmanNamyun KimAshok K. Agrawala
- Cited by
- Hardware and ArchitectureComputational Theory and MathematicsComputer Networks and Communications
- Journals
- IEEE Transactions on Software Engineering (1 paper)IEEE Transactions on Computers (2 papers)ACM SIGPLAN Notices (1 paper)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
M. Saksena
29 papers receiving 777 citations
Peers
Comparison fields: 5 of 27
- Hardware and Architecture 784
- Computational Theory and Mathematics 272
- Computer Networks and Communications 304
- Software 31
- Artificial Intelligence 108
Countries citing papers authored by M. Saksena
This map shows the geographic impact of M. Saksena'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 M. Saksena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Saksena more than expected).
Fields of papers citing papers by M. Saksena
This network shows the impact of papers produced by M. Saksena. 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 M. Saksena. The network helps show where M. Saksena may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Saksena, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 193 | |
| 2 | 2003 | 3 | |
| 3 | 2002 | 0 | |
| 4 | 2002 | 20 | |
| 5 | 2002 | 3 | |
| 6 | 2002 | 22 | |
| 7 | 2002 | 37 | |
| 8 | 2002 | 8 | |
| 9 | 2002 | 84 | |
| 10 | 2002 | 28 | |
| 11 | 2002 | 31 | |
| 12 | 2002 | 6 | |
| 13 | 2002 | 9 | |
| 14 | 2002 | 87 | |
| 15 | Scalable Multi-Tasking using Preemption Thresholds | 2000 | 6 |
| 16 | 2000 | 14 | |
| 17 | 1999 | 4 | |
| 18 | 1998 | 2 | |
| 19 | 1995 | 30 | |
| 20 | Design and implementation of Maruti-II | 1993 | 19 |
About M. Saksena
M. Saksena is a scholar working on Hardware and Architecture, Computational Theory and Mathematics and Computer Networks and Communications, having authored 30 papers that have together received 841 indexed citations. Recurring topics across this work include Real-Time Systems Scheduling (25 papers), Embedded Systems Design Techniques (18 papers), Petri Nets in System Modeling (8 papers), Distributed systems and fault tolerance (7 papers), Parallel Computing and Optimization Techniques (6 papers), Formal Methods in Verification (4 papers), Advanced Software Engineering Methodologies (3 papers) and Scheduling and Optimization Algorithms (2 papers). The work is most often cited by research in Hardware and Architecture (784 citations), Computational Theory and Mathematics (272 citations) and Computer Networks and Communications (304 citations). M. Saksena has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Yun Wang, R. Gerber, Seongsoo Hong, Yun Wang, Seongsoo Hong, Minsoo Ryu, Dong-In Kang, P. Freedman, Namyun Kim and Ashok K. Agrawala. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Transactions on Computers 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.