Padua
Impact in
- Hardware and Architecture top 2%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Distributed and Parallel Computing Systems
- Interconnection Networks and Systems
- Distributed systems and fault tolerance
- Advanced Data Storage Technologies
Papers in
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- Advanced Database Systems and Queries 1
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- Parallel Computing and Optimization Techniques 3
- Embedded Systems Design Techniques 1
- Co-authors
- Kuck (2 shared papers)Lawrie (1 shared paper)Gajski (1 shared paper)KUHN KUHN (1 shared paper)Jaejin Lee (1 shared paper)Yunheung Paek (1 shared paper)Lawrence (1 shared paper)Peng Tu (1 shared paper)
- Journals
- Computer (1 paper)IEEE Transactions on Computers (1 paper)Iberian Conference on Information Systems and Technologies (1 paper)细胞研究：英文版 (1 paper)中国科学：F辑英文版 (1 paper)
- Partner nations
- United States
In The Last Decade
Padua
6 papers receiving 348 citations
Peers
Comparison fields: 5 of 25
- Hardware and Architecture 325
- Computer Networks and Communications 270
- Software 21
- Computational Theory and Mathematics 45
- Artificial Intelligence 59
Countries citing papers authored by Padua
This map shows the geographic impact of Padua'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 Padua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padua more than expected).
Fields of papers citing papers by Padua
This network shows the impact of papers produced by Padua. 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 Padua. The network helps show where Padua may publish in the future.
Co-authors
The 12 scholars most cited alongside Padua, 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 | 1980 | 217 | |
| 2 | 1982 | 130 | |
| 3 | 1996 | 26 | |
| 4 | Communication contention in APN list scheduling algorithm | 2009 | 2 |
| 5 | Quality attributes for SaaS's products | 2010 | 1 |
| 6 | Roles of TGFβ in metastasis | 2009 | 1 |
| 7 | Methadone Maintenance Treatment Program in Portuguese Community Pharmacies | 2015 | 0 |
About Padua
Padua is a scholar working on Computer Networks and Communications, Hardware and Architecture, Molecular Biology, Cardiology and Cardiovascular Medicine and Family Practice, having authored 7 papers that have together received 377 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (3 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Food Quality and Safety Studies (1 paper), Advanced Database Systems and Queries (1 paper), Embedded Systems Design Techniques (1 paper), Medication Adherence and Compliance (1 paper), Blood Pressure and Hypertension Studies (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Hardware and Architecture (325 citations), Computer Networks and Communications (270 citations), Software (21 citations), Computational Theory and Mathematics (45 citations) and Artificial Intelligence (59 citations). Padua has collaborated with scholars based in United States. Frequent co-authors include Kuck, Lawrie, Gajski, KUHN KUHN, Jaejin Lee, Yunheung Paek, Lawrence, Peng Tu, Tang and Cristina Cristina. Their work appears in journals such as Computer, IEEE Transactions on Computers, Iberian Conference on Information Systems and Technologies, 细胞研究：英文版 and 中国科学：F辑英文版.
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.