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
- Distributed systems and fault tolerance
Papers in
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- Distributed and Parallel Computing Systems 6
- IoT and Edge/Fog Computing 1
- Distributed systems and fault tolerance 1
-
- Parallel Computing and Optimization Techniques 3
- Real-Time Systems Scheduling 1
- Embedded Systems Design Techniques 1
- Co-authors
- F. Özgüner (6 shared papers)Lee C. Potter (2 shared papers)W. Scott Melvin (1 shared paper)Charles E. Levy (1 shared paper)
- Journals
- American Journal of Physical Medicine & Rehabilitation (1 paper)IEEE Transactions on Computers (1 paper)The American Journal of Surgery (1 paper)
- Partner nations
- United States
In The Last Decade
M.A. Iverson
8 papers receiving 324 citations
Peers
Comparison fields: 5 of 44
- Hardware and Architecture 179
- Computer Networks and Communications 287
- Information Systems 178
- Information Systems and Management 29
- 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-authors
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 | 1999 | 127 | |
| 2 | 2002 | 64 | |
| 3 | 1996 | 57 | |
| 4 | 2003 | 40 | |
| 5 | 1999 | 27 | |
| 6 | 1999 | 24 | |
| 7 | Dynamic matching and scheduling algorithms for a multiuser heterogeneous computing environment | 1999 | 5 |
| 8 | 2000 | 4 |
About M.A. Iverson
M.A. Iverson is a scholar working on Computer Networks and Communications, Hardware and Architecture, Information Systems, Education and Industrial and Manufacturing Engineering, having authored 8 papers that have together received 348 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (6 papers), Cloud Computing and Resource Management (3 papers), Parallel Computing and Optimization Techniques (3 papers), IoT and Edge/Fog Computing (1 paper), Real-Time Systems Scheduling (1 paper), Embedded Systems Design Techniques (1 paper), Distributed systems and fault tolerance (1 paper) and Reflective Practices in Education (1 paper). The work is most often cited by research in Hardware and Architecture (179 citations), Computer Networks and Communications (287 citations), Information Systems (178 citations), Information Systems and Management (29 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 American Journal of Physical Medicine & Rehabilitation, IEEE Transactions on Computers and The American Journal of Surgery.
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.