Christina Chávez
- Software top 2%
- Model-Driven Software Engineering Techniques 5
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- Open Source Software Innovations 24
- Information Systems top 1%
- Software Engineering Research 45
- Service-Oriented Architecture and Web Services 15
- Software Engineering Techniques and Practices 14
- Artificial Intelligence top 5%
- Advanced Software Engineering Methodologies 34
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- Software System Performance and Reliability 11
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- Wikis in Education and Collaboration 6
- Co-authors
- Alessandro GarciaCláudio Sant’AnnaArndt von StaaRoberto A. BittencourtIsela MaciaThaı́s BatistaUirá KuleszaCarlos Lucena
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Christina Chávez
76 papers receiving 980 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Software 180
- Computer Science Applications 173
- Information Systems 638
- Artificial Intelligence 418
- Computer Networks and Communications 171
Countries citing papers authored by Christina Chávez
This map shows the geographic impact of Christina Chávez'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 Christina Chávez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christina Chávez more than expected).
Fields of papers citing papers by Christina Chávez
This network shows the impact of papers produced by Christina Chávez. 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 Christina Chávez. The network helps show where Christina Chávez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Christina Chávez, 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 | 2023 | 2 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 2 | |
| 4 | 2021 | 1 | |
| 5 | 2018 | 4 | |
| 6 | 2015 | 5 | |
| 7 | 2014 | 3 | |
| 8 | 2013 | 2 | |
| 9 | 2011 | 12 | |
| 10 | 2009 | 1 | |
| 11 | 2009 | 7 | |
| 12 | 2008 | 0 | |
| 13 | 2007 | 3 | |
| 14 | Five Generations of a Mexican American Family in Los Angeles: The Fuentes Story | 2007 | 4 |
| 15 | The Interaction Aspect Pattern | 2005 | 3 |
| 16 | 2005 | 12 | |
| 17 | 2003 | 3 | |
| 18 | 2003 | 156 | |
| 19 | 2002 | 25 | |
| 20 | Dynamic Reconfiguration through a Generic Connector. | 2000 | 4 |
About Christina Chávez
Christina Chávez is a scholar working on Computer Science Applications, Software and Information Systems, having authored 78 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Engineering Research (45 papers), Advanced Software Engineering Methodologies (34 papers), Open Source Software Innovations (24 papers), Service-Oriented Architecture and Web Services (15 papers), Software Engineering Techniques and Practices (14 papers), Software System Performance and Reliability (11 papers), Wikis in Education and Collaboration (6 papers) and Model-Driven Software Engineering Techniques (5 papers). The work is most often cited by research in Software (180 citations), Computer Science Applications (173 citations) and Information Systems (638 citations). Christina Chávez has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Alessandro Garcia, Cláudio Sant’Anna, Arndt von Staa, Alessandro Garcia, Roberto A. Bittencourt, Isela Macia, Thaı́s Batista, Uirá Kulesza, Carlos Lucena and Paulo Meirelles.
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.