Marco Aurélio Gerosa
- Computer Science Applications top 0.05%
- Open Source Software Innovations 67
- Mobile Crowdsensing and Crowdsourcing 16
- Communication top 0.5%
- Wikis in Education and Collaboration 28
- Information Systems top 0.2%
- Software Engineering Research 73
- Software Engineering Techniques and Practices 33
- Software top 2%
- Human-Computer Interaction top 2%
- Usability and User Interface Design 18
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- Software System Performance and Reliability 17
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- Advanced Software Engineering Methodologies 16
Marco Aurélio Gerosa
182 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 116
- Computer Science Applications 1.6k
- Communication 701
- Information Systems 2.1k
- Software 270
- Human-Computer Interaction 210
Countries citing papers authored by Marco Aurélio Gerosa
This map shows the geographic impact of Marco Aurélio Gerosa'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 Marco Aurélio Gerosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Aurélio Gerosa more than expected).
Fields of papers citing papers by Marco Aurélio Gerosa
This network shows the impact of papers produced by Marco Aurélio Gerosa. 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 Marco Aurélio Gerosa. The network helps show where Marco Aurélio Gerosa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Aurélio Gerosa, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 22 | |
| 4 | 2023 | 12 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 5 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 11 | |
| 9 | 2017 | 97 | |
| 10 | 2017 | 61 | |
| 11 | Evolving the System's Core: A Case Study on the Identification and Characterization of Key Developers in Apache Ant | 2015 | 4 |
| 12 | 2013 | 88 | |
| 13 | A novel industrial services reference model | 2008 | 2 |
| 14 | 2007 | 2 | |
| 15 | 2006 | 1 | |
| 16 | 2004 | 2 | |
| 17 | 2004 | 4 | |
| 18 | 2003 | 0 | |
| 19 | 2003 | 4 | |
| 20 | 2001 | 2 |
About Marco Aurélio Gerosa
Marco Aurélio Gerosa is a scholar working on Computer Science Applications, Communication and Software, having authored 193 papers that have together received 3.7k indexed citations. Recurring topics across this work include Software Engineering Research (73 papers), Open Source Software Innovations (67 papers), Software Engineering Techniques and Practices (33 papers), Wikis in Education and Collaboration (28 papers), Usability and User Interface Design (18 papers), Software System Performance and Reliability (17 papers), Advanced Software Engineering Methodologies (16 papers) and Mobile Crowdsensing and Crowdsourcing (16 papers). The work is most often cited by research in Computer Science Applications (1.6k citations), Communication (701 citations) and Information Systems (2.1k citations). Marco Aurélio Gerosa has collaborated with scholars based in Brazil, United States and Netherlands. Frequent co-authors include Igor Steinmacher, Ana Paula Chaves, Igor Wiese, Tayana Conte, Christoph Treude, David Redmiles, Hugo Fukś, Gustavo Pinto, Carlos Lucena and Anita Sarma. Their work appears in journals such as Expert Systems with Applications, Computers & Education and ACM Computing Surveys.
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.