Ana Gainaru
- Computer Networks and Communications top 5%
- Information Systems top 5%
- Hardware and Architecture top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Franck CappelloWilliam KramerMarc SnirLeonardo Bautista-GomezCiprian DobreValentin CristeaHongyang SunPadma Raghavan
- Topics
- Distributed and Parallel Computing Systems (13 papers)Advanced Data Storage Technologies (12 papers)Parallel Computing and Optimization Techniques (9 papers)
- Journals
- IEEE Transactions on Parallel and Distributed SystemsThe International Journal of High Performance Computing ApplicationsSoftwareX
- Partner nations
- United StatesFranceRomania
In The Last Decade
Ana Gainaru
25 papers receiving 335 citations
Peers
Comparison fields: 5 of 36
- Computer Networks and Communications 290
- Information Systems 132
- Hardware and Architecture 77
- Electrical and Electronic Engineering 69
- Artificial Intelligence 65
Countries citing papers authored by Ana Gainaru
This map shows the geographic impact of Ana Gainaru'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 Ana Gainaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ana Gainaru more than expected).
Fields of papers citing papers by Ana Gainaru
This network shows the impact of papers produced by Ana Gainaru. 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 Ana Gainaru. The network helps show where Ana Gainaru may publish in the future.
Co-authorship network of co-authors of Ana Gainaru
This figure shows the co-authorship network connecting the top 25 collaborators of Ana Gainaru. A scholar is included among the top collaborators of Ana Gainaru 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 Ana Gainaru. Ana Gainaru 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 | 1 | |
| 3 | 1 | |
| 4 | 18 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 17 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 6 | |
| 13 | 13 | |
| 14 | 7 | |
| 15 | 36 | |
| 16 | 24 | |
| 17 | 47 | |
| 18 | 65 | |
| 19 | 25 | |
| 20 | 27 |
About Ana Gainaru
Ana Gainaru is a scholar working on Hardware and Architecture, Computer Networks and Communications and Information Systems and Management, having authored 28 papers that have together received 342 indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (13 papers), Advanced Data Storage Technologies (12 papers) and Parallel Computing and Optimization Techniques (9 papers). The work is most often cited by research in Computer Networks and Communications (290 citations), Hardware and Architecture (77 citations) and Software (26 citations). Ana Gainaru has collaborated with scholars based in United States, France and Romania. Frequent co-authors include Franck Cappello, William Kramer, Marc Snir, Leonardo Bautista-Gomez, Ciprian Dobre, Valentin Cristea, Hongyang Sun, Padma Raghavan, Guillaume Aupy and Satoshi Matsuoka. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, The International Journal of High Performance Computing Applications and SoftwareX.
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.