M.A. Iverson
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Real-Time Systems Scheduling
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- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Advanced Data Storage Technologies
Papers in
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- Parallel Computing and Optimization Techniques 3
- Real-Time Systems Scheduling 1
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- Distributed and Parallel Computing Systems 6
- IoT and Edge/Fog Computing 1
- Distributed systems and fault tolerance 1
- Journals
- The American Journal of Surgery (1 paper)IEEE Transactions on Computers (1 paper)American Journal of Physical Medicine & Rehabilitation (1 paper)
- Partner nations
- United States
In The Last Decade
M.A. Iverson
8 papers receiving 284 citations
Peers
Comparison fields: 5 of 47
- Hardware and Architecture 155
- Computer Networks and Communications 256
- Information Systems 160
- Information Systems and Management 24
- Industrial and Manufacturing Engineering 19
Countries citing papers authored by M.A. Iverson
This map shows the geographic impact of M.A. Iverson'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.A. Iverson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.A. Iverson more than expected).
Fields of papers citing papers by M.A. Iverson
This network shows the impact of papers produced by M.A. Iverson. 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.A. Iverson. The network helps show where M.A. Iverson may publish in the future.
Co-authorship network
The 4 scholars most cited alongside M.A. Iverson, 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 | 34 | |
| 2 | 2002 | 57 | |
| 3 | 2000 | 4 | |
| 4 | 1999 | 113 | |
| 5 | 1999 | 24 | |
| 6 | Dynamic matching and scheduling algorithms for a multiuser heterogeneous computing environment | 1999 | 5 |
| 7 | 1999 | 23 | |
| 8 | 1996 | 49 |
About M.A. Iverson
M.A. Iverson is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Industrial and Manufacturing Engineering and Rheumatology, having authored 8 papers that have together received 309 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Parallel Computing and Optimization Techniques (3 papers), Cloud Computing and Resource Management (3 papers), IoT and Edge/Fog Computing (1 paper), Distributed systems and fault tolerance (1 paper), Scheduling and Optimization Algorithms (1 paper), Real-Time Systems Scheduling (1 paper) and Reflective Practices in Education (1 paper). The work is most often cited by research in Hardware and Architecture (155 citations), Computer Networks and Communications (256 citations), Information Systems (160 citations), Information Systems and Management (24 citations) and Industrial and Manufacturing Engineering (19 citations). M.A. Iverson has collaborated with scholars based in United States. Frequent co-authors include F. Özgüner, Lee C. Potter, W. Scott Melvin and Charles E. Levy. Their work appears in journals such as The American Journal of Surgery, IEEE Transactions on Computers and American Journal of Physical Medicine & Rehabilitation.
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.