Milena Guessi
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- Model-Driven Software Engineering Techniques 3
- Software Reliability and Analysis Research 2
- Information Systems top 10%
- Software Engineering Research 3
- Service-Oriented Architecture and Web Services 2
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- Advanced Software Engineering Methodologies 13
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- Systems Engineering Methodologies and Applications 2
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- Software System Performance and Reliability 8
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- COVID-19 and Mental Health 1
- Co-authors
- Elisa Yumi NakagawaFlávio OquendoLina GarcésValdemar Vicente Graciano NetoJosé Carlos MaldonadoDaniel FeitosaPablo Oliveira AntoninoMatthias Galster
- Journals
- SHILAP Revista de lepidopterología (1 paper)IEEE Systems Journal (1 paper)Software & Systems Modeling (1 paper)
In The Last Decade
Milena Guessi
15 papers receiving 104 citations
Peers
Comparison fields: 5 of 38
- Software 18
- Information Systems 55
- Artificial Intelligence 59
- Control and Systems Engineering 38
- Computer Networks and Communications 33
Countries citing papers authored by Milena Guessi
This map shows the geographic impact of Milena Guessi'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 Milena Guessi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milena Guessi more than expected).
Fields of papers citing papers by Milena Guessi
This network shows the impact of papers produced by Milena Guessi. 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 Milena Guessi. The network helps show where Milena Guessi may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Milena Guessi, 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 | 8 | |
| 2 | Approaches for describing reference architectures: A systematic mapping study | 2020 | 2 |
| 3 | 2019 | 2 | |
| 4 | ASAS: An Approach to Support Simulation of Smart Systems | 2018 | 11 |
| 5 | 2018 | 9 | |
| 6 | 2018 | 6 | |
| 7 | 2017 | 21 | |
| 8 | 2017 | 1 | |
| 9 | 2015 | 5 | |
| 10 | A checklist for evaluation of reference architectures of embedded systems | 2013 | 6 |
| 11 | An investigation on quality models and quality attributes for embedded systems | 2013 | 9 |
| 12 | 2012 | 12 | |
| 13 | Representation of Reference Architectures: A Systematic Review. | 2011 | 10 |
| 14 | 2011 | 5 | |
| 15 | Current State on Representation of Reference Architectures | 2011 | 1 |
About Milena Guessi
Milena Guessi is a scholar working on Software, Artificial Intelligence and Computer Networks and Communications, having authored 15 papers that have together received 108 indexed citations. Recurring topics across this work include Advanced Software Engineering Methodologies (13 papers), Software System Performance and Reliability (8 papers), Model-Driven Software Engineering Techniques (3 papers), Software Engineering Research (3 papers), Systems Engineering Methodologies and Applications (2 papers), Service-Oriented Architecture and Web Services (2 papers), Software Reliability and Analysis Research (2 papers) and COVID-19 and Mental Health (1 paper). The work is most often cited by research in Software (18 citations), Information Systems (55 citations) and Artificial Intelligence (59 citations). Milena Guessi has collaborated with scholars based in Brazil, France and Canada. Frequent co-authors include Elisa Yumi Nakagawa, Flávio Oquendo, Lina Garcés, Valdemar Vicente Graciano Neto, José Carlos Maldonado, Daniel Feitosa, Pablo Oliveira Antonino, Matthias Galster, Dieter Rombach and Emily Seto. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Systems Journal and Software & Systems Modeling.
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.