M. Mendell
Impact in
- Hardware and Architecture top 10%
- Parallel Computing and Optimization Techniques
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- Advanced Database Systems and Queries
- Advanced Data Storage Technologies
- Distributed and Parallel Computing Systems
Papers in
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- Advanced Database Systems and Queries 3
- Distributed and Parallel Computing Systems 3
- Advanced Data Storage Technologies 2
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- Parallel Computing and Optimization Techniques 4
- Co-authors
- Buğra Gedik (4 shared papers)Martin Hirzel (3 shared papers)Gabriela Jacques-Silva (1 shared paper)Sebastian Schneider (1 shared paper)Kun Wu (1 shared paper)V. Krishna Kumar (1 shared paper)Rohit Khandekar (1 shared paper)Robert Soulé (2 shared papers)
- Journals
- IBM Journal of Research and Development (3 papers)Journal of Parallel and Distributed Computing (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
M. Mendell
8 papers receiving 194 citations
Peers
Comparison fields: 5 of 44
- Hardware and Architecture 59
- Computer Networks and Communications 119
- Signal Processing 24
- Information Systems 45
- Information Systems and Management 12
Countries citing papers authored by M. Mendell
This map shows the geographic impact of M. Mendell'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. Mendell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Mendell more than expected).
Fields of papers citing papers by M. Mendell
This network shows the impact of papers produced by M. Mendell. 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. Mendell. The network helps show where M. Mendell may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Mendell, 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 | 2013 | 84 | |
| 2 | 2003 | 53 | |
| 3 | 2005 | 22 | |
| 4 | A high-performance simd floating point unit for bluegene/l: Architecture, compilation, and algorithm design | 2004 | 17 |
| 5 | 2009 | 12 | |
| 6 | 2012 | 8 | |
| 7 | 2005 | 8 | |
| 8 | IBM Research Report SPL Stream Processing Language Specification | 2009 | 5 |
About M. Mendell
M. Mendell is a scholar working on Computer Networks and Communications, Hardware and Architecture, Artificial Intelligence, Computational Theory and Mathematics and Information Systems, having authored 8 papers that have together received 209 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (4 papers), Advanced Database Systems and Queries (3 papers), Distributed and Parallel Computing Systems (3 papers), Numerical Methods and Algorithms (2 papers), Data Management and Algorithms (2 papers), Cloud Computing and Resource Management (2 papers), Algorithms and Data Compression (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Hardware and Architecture (59 citations), Computer Networks and Communications (119 citations), Signal Processing (24 citations), Information Systems (45 citations) and Information Systems and Management (12 citations). M. Mendell has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Buğra Gedik, Martin Hirzel, Gabriela Jacques-Silva, Sebastian Schneider, Kun Wu, V. Krishna Kumar, Rohit Khandekar, Robert Soulé, Frank Suits and Blake G. Fitch. Their work appears in journals such as IBM Journal of Research and Development and Journal of Parallel and Distributed Computing.
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.