Mircea Namolaru
- Hardware and Architecture top 2%
- Computer Networks and Communications top 10%
- Information Systems top 5%
- Artificial Intelligence top 10%
- Software top 5%
- Co-authors
- Grigori FursinAyal ZaksElad Yom‐TovBilha MendelsonEdwin V. BonillaFrançois BodinPhilip BarnardMichael O’Boyle
- Topics
- Parallel Computing and Optimization Techniques (6 papers)Embedded Systems Design Techniques (3 papers)Advanced Neural Network Applications (2 papers)
- Journals
- IBM Systems JournalInternational Journal of Parallel ProgrammingEdinburgh Research Explorer
- Partner nations
- IsraelFranceUnited States
In The Last Decade
Mircea Namolaru
8 papers receiving 310 citations
Peers
Comparison fields: 5 of 26
- Hardware and Architecture 260
- Computer Networks and Communications 133
- Information Systems 128
- Artificial Intelligence 128
- Software 60
Countries citing papers authored by Mircea Namolaru
This map shows the geographic impact of Mircea Namolaru'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 Mircea Namolaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mircea Namolaru more than expected).
Fields of papers citing papers by Mircea Namolaru
This network shows the impact of papers produced by Mircea Namolaru. 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 Mircea Namolaru. The network helps show where Mircea Namolaru may publish in the future.
Co-authorship network of co-authors of Mircea Namolaru
This figure shows the co-authorship network connecting the top 25 collaborators of Mircea Namolaru. A scholar is included among the top collaborators of Mircea Namolaru based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mircea Namolaru. Mircea Namolaru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 128 | |
| 2 | 24 | |
| 3 | 1 | |
| 4 | MILEPOST GCC: machine learning based research compiler | 70 |
| 5 | Automatic Feature Generation for Setting Compilers Heuristics | 3 |
| 6 | Proceedings of the GCC Developers' Summit | 88 |
| 7 | 2nd Workshop on statistical and machine learning approaches to Architectures and compilation (SMART 2008) | 2 |
| 8 | 6 |
About Mircea Namolaru
Mircea Namolaru is a scholar working on Hardware and Architecture, Software and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 322 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (6 papers), Embedded Systems Design Techniques (3 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Hardware and Architecture (260 citations), Software (60 citations) and Computer Networks and Communications (133 citations). Mircea Namolaru has collaborated with scholars based in Israel, France and United States. Frequent co-authors include Grigori Fursin, Ayal Zaks, Elad Yom‐Tov, Bilha Mendelson, Edwin V. Bonilla, François Bodin, Philip Barnard, Michael O’Boyle, Olivier Temam and John Thomson. Their work appears in journals such as IBM Systems Journal, International Journal of Parallel Programming and Edinburgh Research Explorer.
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.