Cosmin Radoi
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Software top 5%
- Hardware and Architecture top 5%
- Artificial Intelligence
- Co-authors
- Danny DigAdrian NistorShan LuPo-Chun ChangYu‐Feng LinRalph E. JohnsonMarius MineaMihai Tarce
- Topics
- Parallel Computing and Optimization Techniques (7 papers)Software System Performance and Reliability (4 papers)Cloud Computing and Resource Management (4 papers)
- Journals
- ACM SIGPLAN NoticesACM Transactions on Software Engineering and Methodology2015 IEEE/ACM 37th IEEE International Conference on Software Engineering
- Partner nations
- United StatesRomaniaUnited Kingdom
In The Last Decade
Cosmin Radoi
12 papers receiving 303 citations
Peers
Comparison fields: 5 of 26
- Computer Networks and Communications 196
- Information Systems 174
- Software 143
- Hardware and Architecture 88
- Artificial Intelligence 60
Countries citing papers authored by Cosmin Radoi
This map shows the geographic impact of Cosmin Radoi'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 Cosmin Radoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cosmin Radoi more than expected).
Fields of papers citing papers by Cosmin Radoi
This network shows the impact of papers produced by Cosmin Radoi. 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 Cosmin Radoi. The network helps show where Cosmin Radoi may publish in the future.
Co-authorship network of co-authors of Cosmin Radoi
This figure shows the co-authorship network connecting the top 25 collaborators of Cosmin Radoi. A scholar is included among the top collaborators of Cosmin Radoi 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 Cosmin Radoi. Cosmin Radoi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 63 | |
| 3 | 3 | |
| 4 | 57 | |
| 5 | 10 | |
| 6 | 61 | |
| 7 | 26 | |
| 8 | 5 | |
| 9 | 26 | |
| 10 | Hadoop+Aparapi: Making heterogenous MapReduce programming easier | 11 |
| 11 | 40 | |
| 12 | ReLooper: Refactoring for Loop Parallelism | 8 |
About Cosmin Radoi
Cosmin Radoi is a scholar working on Software, Hardware and Architecture and Information Systems, having authored 12 papers that have together received 311 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Software System Performance and Reliability (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Software (143 citations), Hardware and Architecture (88 citations) and Computer Networks and Communications (196 citations). Cosmin Radoi has collaborated with scholars based in United States, Romania and United Kingdom. Frequent co-authors include Danny Dig, Adrian Nistor, Shan Lu, Po-Chun Chang, Yu‐Feng Lin, Ralph E. Johnson, Marius Minea, Mihai Tarce, Manu Sridharan and Rodric Rabbah. Their work appears in journals such as ACM SIGPLAN Notices, ACM Transactions on Software Engineering and Methodology and 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.
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.