Marco A. S. Netto
- Information Systems top 0.5%
- Cloud Computing and Resource Management 27
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- Distributed and Parallel Computing Systems 23
- IoT and Edge/Fog Computing 10
- Software System Performance and Reliability 6
- Distributed systems and fault tolerance 4
- Advanced Data Storage Technologies 4
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- Scientific Computing and Data Management 10
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques 6
- Co-authors
- Rodrigo N. CalheirosRajkumar BuyyaMarcos Dias de AssunçãoSilvia BianchiCésar A. F. De RoseTiago FerretoRenato L. F. CunhaCarlos Cardonha
- Journals
- ACM Computing Surveys (1 paper)Computer (1 paper)Future Generation Computer Systems (5 papers)
- Partner nations
- BrazilUnited StatesAustralia
In The Last Decade
Marco A. S. Netto
39 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Information Systems 984
- Computer Networks and Communications 920
- Management Information Systems 224
- Information Systems and Management 161
- Hardware and Architecture 85
Countries citing papers authored by Marco A. S. Netto
This map shows the geographic impact of Marco A. S. Netto'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 Marco A. S. Netto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco A. S. Netto more than expected).
Fields of papers citing papers by Marco A. S. Netto
This network shows the impact of papers produced by Marco A. S. Netto. 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 Marco A. S. Netto. The network helps show where Marco A. S. Netto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco A. S. Netto, 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 | 2021 | 27 | |
| 2 | 2020 | 2 | |
| 3 | 2016 | 0 | |
| 4 | 2015 | 7 | |
| 5 | 2014 | 4 | |
| 6 | 2014 | 6 | |
| 7 | 2014 | 1 | |
| 8 | 2014 | 56 | |
| 9 | Big Data computing and clouds: Trends and future directionsbreakdown → | 2014 | 494 |
| 10 | 2013 | 3 | |
| 11 | 2012 | 1 | |
| 12 | 2012 | 3 | |
| 13 | 2011 | 14 | |
| 14 | 2011 | 9 | |
| 15 | 2011 | 10 | |
| 16 | 2010 | 0 | |
| 17 | 2008 | 14 | |
| 18 | 2007 | 2 | |
| 19 | 2006 | 9 | |
| 20 | 2003 | 7 |
About Marco A. S. Netto
Marco A. S. Netto is a scholar working on Information Systems and Management, Computer Networks and Communications and Information Systems, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (27 papers), Distributed and Parallel Computing Systems (23 papers), IoT and Edge/Fog Computing (10 papers), Scientific Computing and Data Management (10 papers), Software System Performance and Reliability (6 papers), Parallel Computing and Optimization Techniques (6 papers), Distributed systems and fault tolerance (4 papers) and Advanced Data Storage Technologies (4 papers). The work is most often cited by research in Information Systems (984 citations), Computer Networks and Communications (920 citations) and Management Information Systems (224 citations). Marco A. S. Netto has collaborated with scholars based in Brazil, United States and Australia. Frequent co-authors include Rodrigo N. Calheiros, Rajkumar Buyya, Marcos Dias de Assunção, Silvia Bianchi, César A. F. De Rose, Tiago Ferreto, Renato L. F. Cunha, Carlos Cardonha, Ivona Brandić and Vincent C. Emeakaroha. Their work appears in journals such as ACM Computing Surveys, Computer and Future Generation Computer Systems.
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.