Larissa Braz
Impact in
- Software top 10%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Human-Computer Interaction top 10%
- Innovative Human-Technology Interaction
Papers in
-
- Software Engineering Research 12
- Information and Cyber Security 5
- Software 8
- Software Reliability and Analysis Research 5
- Software Testing and Debugging Techniques 4
- Co-authors
- Alberto Bacchelli (8 shared papers)Enrico Fregnan (6 shared papers)Fabio Palomba (1 shared paper)Linda Di Geronimo (1 shared paper)Gül Çalıklı (4 shared papers)Márcio Ribeiro (5 shared papers)Rohit Gheyi (5 shared papers)Flávio Medeiros (4 shared papers)
- Journals
- ACM SIGPLAN Notices (1 paper)Computer Languages Systems & Structures (1 paper)Open MIND (1 paper)Zurich Open Repository and Archive (University of Zurich) (4 papers)ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (1 paper)
- Partner nations
- SwitzerlandBrazilGermany
In The Last Decade
Larissa Braz
12 papers receiving 228 citations
Peers
Comparison fields: 5 of 47
- Software 43
- Human-Computer Interaction 34
- Information Systems 118
- Signal Processing 49
- Information Systems and Management 15
Countries citing papers authored by Larissa Braz
This map shows the geographic impact of Larissa Braz'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 Larissa Braz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larissa Braz more than expected).
Fields of papers citing papers by Larissa Braz
This network shows the impact of papers produced by Larissa Braz. 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 Larissa Braz. The network helps show where Larissa Braz may publish in the future.
Co-authors
The 16 scholars most cited alongside Larissa Braz, 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 | 2020 | 143 | |
| 2 | 2021 | 19 | |
| 3 | 2022 | 17 | |
| 4 | 2022 | 16 | |
| 5 | 2022 | 9 | |
| 6 | 2018 | 9 | |
| 7 | 2016 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2018 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2016 | 1 | |
| 12 | 2021 | 1 | |
| 13 | 2022 | 0 |
About Larissa Braz
Larissa Braz is a scholar working on Information Systems, Software, Artificial Intelligence, Signal Processing and Computer Networks and Communications, having authored 13 papers that have together received 239 indexed citations. Recurring topics across this work include Software Engineering Research (12 papers), Software Reliability and Analysis Research (5 papers), Information and Cyber Security (5 papers), Software Testing and Debugging Techniques (4 papers), Advanced Software Engineering Methodologies (4 papers), Advanced Malware Detection Techniques (3 papers), Software System Performance and Reliability (2 papers) and Open Source Software Innovations (1 paper). The work is most often cited by research in Software (43 citations), Human-Computer Interaction (34 citations), Information Systems (118 citations), Signal Processing (49 citations) and Information Systems and Management (15 citations). Larissa Braz has collaborated with scholars based in Switzerland, Brazil and Germany. Frequent co-authors include Alberto Bacchelli, Enrico Fregnan, Fabio Palomba, Linda Di Geronimo, Gül Çalıklı, Márcio Ribeiro, Rohit Gheyi, Flávio Medeiros, Leopoldo Teixeira and Wilkerson L. Andrade. Their work appears in journals such as ACM SIGPLAN Notices, Computer Languages Systems & Structures, Open MIND, Zurich Open Repository and Archive (University of Zurich) and ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam).
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.