Daniel Graziotin
Impact in
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- Open Source Software Innovations
- Information Systems top 2%
- Software Engineering Techniques and Practices
- Software Engineering Research
- Spam and Phishing Detection
Papers in
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- Software Engineering Techniques and Practices 17
- Software Engineering Research 16
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- Mind wandering and attention 5
- Co-authors
- Mika Mäntylä (2 shared papers)Miikka Kuutila (1 shared paper)Pekka Abrahamsson (9 shared papers)Xiaofeng Wang (5 shared papers)Fabian Fagerholm (1 shared paper)Giuseppe Destefanis (4 shared papers)Marco Ortu (3 shared papers)Bram Adams (1 shared paper)
- Journals
- PeerJ Computer Science (3 papers)IEEE Software (3 papers)Journal of Systems and Software (2 papers)Information and Software Technology (1 paper)Empirical Software Engineering (1 paper)
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
Daniel Graziotin
32 papers receiving 934 citations
Daniel Graziotin's Hit Papers
Peers
Comparison fields: 5 of 109
- Computer Science Applications 136
- Information Systems 415
- Artificial Intelligence 392
- 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
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The evolution of sentiment analysis:a review of research topics, venues, and top cited papers Hit paper breakdown → | 2018 | 406 |
| 2 | 2018 | 132 | |
| 3 | 2014 | 122 | |
| 4 | 2016 | 66 | |
| 5 | 2014 | 54 | |
| 6 | 2015 | 37 | |
| 7 | 2013 | 28 | |
| 8 | 2018 | 22 | |
| 9 | 2017 | 22 | |
| 10 | 2019 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2013 | 12 | |
| 13 | 2020 | 10 | |
| 14 | 2017 | 6 | |
| 15 | 2013 | 5 | |
| 16 | 2015 | 4 | |
| 17 | 2020 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2017 | 3 |
About Daniel Graziotin
Daniel Graziotin is a scholar working on Information Systems, Cognitive Neuroscience, Artificial Intelligence, Software and Clinical Psychology, having authored 36 papers that have together received 986 indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (17 papers), Software Engineering Research (16 papers), Mind wandering and attention (5 papers), Open Source Software Innovations (4 papers), Creativity in Education and Neuroscience (4 papers), Software Reliability and Analysis Research (4 papers), Advanced Software Engineering Methodologies (3 papers) and Resilience and Mental Health (3 papers). The work is most often cited by research in Computer Science Applications (136 citations), Information Systems (415 citations), Artificial Intelligence (392 citations), Communication (59 citations) and Software (28 citations). Daniel Graziotin has collaborated with scholars based in Germany, Italy and United Kingdom. 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 PeerJ Computer Science, IEEE Software, Journal of Systems and Software, Information and Software Technology and Empirical Software Engineering.
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.