S. Ma
Impact in
- Software top 5%
- Software Reliability and Analysis Research
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- Software System Performance and Reliability
- Network Security and Intrusion Detection
- Distributed systems and fault tolerance
- Distributed and Parallel Computing Systems
Papers in
-
- Bayesian Modeling and Causal Inference 5
- Fuzzy Logic and Control Systems 2
- Neural Networks and Applications 2
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- Software System Performance and Reliability 4
- Co-authors
- Irina Rish (4 shared papers)Ricardo Vilalta (2 shared papers)Marc Brodie (2 shared papers)José E. Moreira (1 shared paper)Anand Sivasubramaniam (1 shared paper)Adam J. Oliner (1 shared paper)R.K. Sahoo (1 shared paper)Manish Gupta (1 shared paper)
- Journals
- IBM Systems Journal (3 papers)IEEE Communications Letters (1 paper)Neurocomputing (1 paper)Mathematics (1 paper)Advances in computer science research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
S. Ma
12 papers receiving 497 citations
Peers
Comparison fields: 5 of 55
- Software 84
- Computer Networks and Communications 368
- Information Systems 201
- Artificial Intelligence 242
- Hardware and Architecture 44
Countries citing papers authored by S. Ma
This map shows the geographic impact of S. Ma'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 S. Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Ma more than expected).
Fields of papers citing papers by S. Ma
This network shows the impact of papers produced by S. Ma. 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 S. Ma. The network helps show where S. Ma may publish in the future.
Co-authors
The 19 scholars most cited alongside S. Ma, 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 | 205 | |
| 2 | 2005 | 111 | |
| 3 | 2004 | 80 | |
| 4 | 2002 | 76 | |
| 5 | 2002 | 34 | |
| 6 | 1998 | 14 | |
| 7 | 2005 | 12 | |
| 8 | 2021 | 8 | |
| 9 | 2002 | 3 | |
| 10 | Using Adaptive Probing for Real-Time Problem Diagnosis in Distributed Computer Systems | 2002 | 2 |
| 11 | 2002 | 2 | |
| 12 | 2015 | 1 | |
| 13 | 2023 | 0 |
About S. Ma
S. Ma is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 13 papers that have together received 548 indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (5 papers), Software System Performance and Reliability (4 papers), Data Mining Algorithms and Applications (4 papers), Fuzzy Logic and Control Systems (2 papers), Image and Signal Denoising Methods (2 papers), Neural Networks and Applications (2 papers), Advanced Data Compression Techniques (2 papers) and Image and Video Quality Assessment (2 papers). The work is most often cited by research in Software (84 citations), Computer Networks and Communications (368 citations), Information Systems (201 citations), Artificial Intelligence (242 citations) and Hardware and Architecture (44 citations). S. Ma has collaborated with scholars based in United States and China. Frequent co-authors include Irina Rish, Ricardo Vilalta, Marc Brodie, José E. Moreira, Anand Sivasubramaniam, Adam J. Oliner, R.K. Sahoo, Manish Gupta, P.S. Yu and Genady Ya. Grabarnik. Their work appears in journals such as IBM Systems Journal, IEEE Communications Letters, Neurocomputing, Mathematics and Advances in computer science research.
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.