Adrian Serio
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
- Embedded Systems Design Techniques
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- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
- Interconnection Networks and Systems
- Distributed systems and fault tolerance
Papers in
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- Parallel Computing and Optimization Techniques 7
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- Distributed and Parallel Computing Systems 6
- Advanced Data Storage Technologies 6
- Software System Performance and Reliability 1
- Co-authors
- Hartmut Kaiser (8 shared papers)Thomas Heller (2 shared papers)Dietmar Fey (1 shared paper)Kevin Huck (3 shared papers)Jagannathan Ramanujam (2 shared papers)Patrick Diehl (1 shared paper)David C. Eder (1 shared paper)Allen D. Malony (1 shared paper)
- Journals
- The International Journal of High Performance Computing Applications (1 paper)Civil War Book Review (5 papers)arXiv (Cornell University) (1 paper)UA Campus Repository (The University of Arizona) (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Adrian Serio
8 papers receiving 261 citations
Peers
Comparison fields: 5 of 35
- Hardware and Architecture 222
- Computer Networks and Communications 225
- Information Systems 80
- Information Systems and Management 13
- Computer Graphics and Computer-Aided Design 6
Countries citing papers authored by Adrian Serio
This map shows the geographic impact of Adrian Serio'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 Adrian Serio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Serio more than expected).
Fields of papers citing papers by Adrian Serio
This network shows the impact of papers produced by Adrian Serio. 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 Adrian Serio. The network helps show where Adrian Serio may publish in the future.
Co-authors
The 15 scholars most cited alongside Adrian Serio, 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 | 2014 | 201 | |
| 2 | 2015 | 20 | |
| 3 | 2019 | 16 | |
| 4 | 2018 | 10 | |
| 5 | 2018 | 5 | |
| 6 | 2017 | 5 | |
| 7 | 2019 | 5 | |
| 8 | 2016 | 5 |
About Adrian Serio
Adrian Serio is a scholar working on Hardware and Architecture, Computer Networks and Communications, Information Systems, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 8 papers that have together received 267 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (7 papers), Distributed and Parallel Computing Systems (6 papers), Advanced Data Storage Technologies (6 papers), Cloud Computing and Resource Management (4 papers) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Hardware and Architecture (222 citations), Computer Networks and Communications (225 citations), Information Systems (80 citations), Information Systems and Management (13 citations) and Computer Graphics and Computer-Aided Design (6 citations). Adrian Serio has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Hartmut Kaiser, Thomas Heller, Dietmar Fey, Kevin Huck, Jagannathan Ramanujam, Patrick Diehl, David C. Eder, Allen D. Malony, Steven R. Brandt and John Biddiscombe. Their work appears in journals such as The International Journal of High Performance Computing Applications, Civil War Book Review, arXiv (Cornell University) and UA Campus Repository (The University of Arizona).
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.