Daniel Graziotin
Impact in
-
- Open Source Software Innovations
- Information Systems top 2%
- Software Engineering Research
- Software Engineering Techniques and Practices
Papers in
- Software 5
- Software Reliability and Analysis Research 4
-
- Software Engineering Research 17
- Software Engineering Techniques and Practices 17
- Co-authors
- Mika MäntyläMiikka KuutilaPekka AbrahamssonXiaofeng WangFabian FagerholmGiuseppe DestefanisMarco OrtuBram Adams
In The Last Decade
Daniel Graziotin
32 papers receiving 913 citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Computer Science Applications 133
- Information Systems 411
- Artificial Intelligence 393
- Communication 59
- Software 28
Countries citing papers authored by Daniel Graziotin
This map shows the geographic impact of Daniel Graziotin'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 Daniel Graziotin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Graziotin more than expected).
Fields of papers citing papers by Daniel Graziotin
This network shows the impact of papers produced by Daniel Graziotin. 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 Daniel Graziotin. The network helps show where Daniel Graziotin may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Graziotin, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 11 | |
| 5 | Behavioral Software Engineering: Methodological Introduction to Psychometrics. | 2020 | 1 |
| 6 | 2020 | 3 | |
| 7 | 2020 | 1 | |
| 8 | 2019 | 15 | |
| 9 | The evolution of sentiment analysis:a review of research topics, venues, and top cited papers Hit paper breakdown → | 2018 | 401 |
| 10 | 2018 | 22 | |
| 11 | On the Status and Future of Peer Review in Software Engineering | 2017 | 2 |
| 12 | 2017 | 1 | |
| 13 | 2017 | 6 | |
| 14 | 2015 | 4 | |
| 15 | 2014 | 120 | |
| 16 | 2014 | 1 | |
| 17 | 2014 | 52 | |
| 18 | 2013 | 12 | |
| 19 | 2013 | 1 | |
| 20 | 2013 | 28 |
About Daniel Graziotin
Daniel Graziotin is a scholar working on Software, Information Systems, Computer Science Applications, Health Informatics and Information Systems and Management, having authored 36 papers that have together received 966 indexed citations. Recurring topics across this work include Software Engineering Research (17 papers), Software Engineering Techniques and Practices (17 papers), Mind wandering and attention (5 papers), Software Reliability and Analysis Research (4 papers), Open Source Software Innovations (4 papers), Creativity in Education and Neuroscience (4 papers), Resilience and Mental Health (3 papers) and Advanced Software Engineering Methodologies (3 papers). The work is most often cited by research in Computer Science Applications (133 citations), Information Systems (411 citations), Artificial Intelligence (393 citations), Communication (59 citations) and Software (28 citations). Daniel Graziotin has collaborated with scholars based in Germany, Italy and Finland. Frequent co-authors include Mika Mäntylä, Miikka Kuutila, Pekka Abrahamsson, Xiaofeng Wang, Fabian Fagerholm, Giuseppe Destefanis, Marco Ortu, Bram Adams, Stefan Wagner and Lutz Prechelt. Their work appears in journals such as IEEE Software, PeerJ Computer Science, Journal of Systems and Software, Information and Software Technology and IEEE Access.
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.