Felipe Ebert
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
-
- Open Source Software Innovations
Papers in
-
- Software Engineering Research 11
- Software Engineering Techniques and Practices 7
- Spam and Phishing Detection 1
-
- Software System Performance and Reliability 5
- Co-authors
- Fernando Castor (10 shared papers)Alexander Serebrenik (9 shared papers)Nicole Novielli (4 shared papers)Gustavo Pinto (2 shared papers)Leopoldo Teixeira (1 shared paper)Eleni Constantinou (1 shared paper)Gemma Catolino (1 shared paper)
- Journals
- Journal of Systems and Software (1 paper)Empirical Software Engineering (1 paper)TU/e Research Portal (8 papers)Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (1 paper)
- Partner nations
- NetherlandsBrazilItaly
In The Last Decade
Felipe Ebert
13 papers receiving 305 citations
Peers
Comparison fields: 5 of 29
- Software 129
- Computer Science Applications 71
- Information Systems 278
- Computer Networks and Communications 88
- Signal Processing 36
Countries citing papers authored by Felipe Ebert
This map shows the geographic impact of Felipe Ebert'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 Felipe Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Ebert more than expected).
Fields of papers citing papers by Felipe Ebert
This network shows the impact of papers produced by Felipe Ebert. 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 Felipe Ebert. The network helps show where Felipe Ebert may publish in the future.
Co-authors
The 7 scholars most cited alongside Felipe Ebert, 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 | 2019 | 60 | |
| 2 | 2015 | 49 | |
| 3 | 2021 | 36 | |
| 4 | 2017 | 33 | |
| 5 | 2018 | 30 | |
| 6 | 2016 | 24 | |
| 7 | 2015 | 23 | |
| 8 | 2020 | 18 | |
| 9 | 2013 | 18 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 5 | |
| 12 | 2020 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2020 | 0 |
About Felipe Ebert
Felipe Ebert is a scholar working on Information Systems, Computer Networks and Communications, Computer Science Applications, Software and Artificial Intelligence, having authored 14 papers that have together received 310 indexed citations. Recurring topics across this work include Software Engineering Research (11 papers), Software Engineering Techniques and Practices (7 papers), Software System Performance and Reliability (5 papers), Software Reliability and Analysis Research (3 papers), Open Source Software Innovations (3 papers), Software Testing and Debugging Techniques (2 papers), Spam and Phishing Detection (1 paper) and Green IT and Sustainability (1 paper). The work is most often cited by research in Software (129 citations), Computer Science Applications (71 citations), Information Systems (278 citations), Computer Networks and Communications (88 citations) and Signal Processing (36 citations). Felipe Ebert has collaborated with scholars based in Netherlands, Brazil and Italy. Frequent co-authors include Fernando Castor, Alexander Serebrenik, Nicole Novielli, Gustavo Pinto, Leopoldo Teixeira, Eleni Constantinou and Gemma Catolino. Their work appears in journals such as Journal of Systems and Software, Empirical Software Engineering, TU/e Research Portal and Virtual Community of Pathological Anatomy (University of Castilla La Mancha).
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.