Diego Cedrim
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 11
- Software Engineering Techniques and Practices 3
- Software 9
- Software Reliability and Analysis Research 9
- Co-authors
- Alessandro Garcia (13 shared papers)Leonardo Sousa (9 shared papers)Eduardo Fernandes (4 shared papers)Rohit Gheyi (2 shared papers)Baldoíno Fonseca (3 shared papers)Rafael de Mello (3 shared papers)Willian Oizumi (5 shared papers)Anderson Oliveira (5 shared papers)
- Journals
- Information and Software Technology (1 paper)Information Systems (1 paper)Lecture notes in computer science (2 papers)
- Partner nations
- BrazilUnited StatesUnited Kingdom
In The Last Decade
Diego Cedrim
15 papers receiving 327 citations
Peers
Comparison fields: 5 of 37
- Software 188
- Information Systems 255
- Computer Science Applications 28
- Computer Networks and Communications 105
- Signal Processing 28
Countries citing papers authored by Diego Cedrim
This map shows the geographic impact of Diego Cedrim'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 Diego Cedrim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Cedrim more than expected).
Fields of papers citing papers by Diego Cedrim
This network shows the impact of papers produced by Diego Cedrim. 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 Diego Cedrim. The network helps show where Diego Cedrim may publish in the future.
Co-authors
The 21 scholars most cited alongside Diego Cedrim, 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 | 2017 | 58 | |
| 2 | 2017 | 54 | |
| 3 | 2019 | 36 | |
| 4 | 2020 | 35 | |
| 5 | 2016 | 30 | |
| 6 | 2018 | 30 | |
| 7 | 2016 | 26 | |
| 8 | 2020 | 20 | |
| 9 | 2020 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2018 | 10 | |
| 12 | 2020 | 7 | |
| 13 | 2016 | 3 | |
| 14 | 2016 | 2 | |
| 15 | 2022 | 2 |
About Diego Cedrim
Diego Cedrim is a scholar working on Information Systems, Software, Computer Networks and Communications, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 15 papers that have together received 338 indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Software Reliability and Analysis Research (9 papers), Software System Performance and Reliability (5 papers), Advanced Software Engineering Methodologies (3 papers), Complex Network Analysis Techniques (3 papers), Misinformation and Its Impacts (3 papers), Software Engineering Techniques and Practices (3 papers) and Product Development and Customization (1 paper). The work is most often cited by research in Software (188 citations), Information Systems (255 citations), Computer Science Applications (28 citations), Computer Networks and Communications (105 citations) and Signal Processing (28 citations). Diego Cedrim has collaborated with scholars based in Brazil, United States and United Kingdom. Frequent co-authors include Alessandro Garcia, Leonardo Sousa, Eduardo Fernandes, Rohit Gheyi, Baldoíno Fonseca, Rafael de Mello, Willian Oizumi, Anderson Oliveira, Paolo Missier and Alexander Romanovsky. Their work appears in journals such as Information and Software Technology, Information Systems and Lecture notes in computer science.
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.