Daniel Russo
Impact in
- Information Systems top 1%
- Software Engineering Techniques and Practices
- Software Engineering Research
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- Teaching and Learning Programming
Papers in
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- Software Engineering Techniques and Practices 28
- Software Engineering Research 6
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- Teaching and Learning Programming 6
- Co-authors
- Klaas-Jan Stol (5 shared papers)Paolo Ciancarini (22 shared papers)Niels van Berkel (7 shared papers)Paul H. P. Hanel (5 shared papers)Simo Johannes Hosio (1 shared paper)Mikael B. Skov (1 shared paper)Jorge Gonçalves (1 shared paper)Darja Šmite (1 shared paper)
In The Last Decade
Daniel Russo
50 papers receiving 1.1k citations
Daniel Russo's Hit Papers
Peers
Comparison fields: 5 of 83
- Information Systems 525
- Computer Science Applications 87
- Information Systems and Management 89
- Safety Research 82
- Human Factors and Ergonomics 22
Countries citing papers authored by Daniel Russo
This map shows the geographic impact of Daniel Russo'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 Russo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Russo more than expected).
Fields of papers citing papers by Daniel Russo
This network shows the impact of papers produced by Daniel Russo. 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 Russo. The network helps show where Daniel Russo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Russo, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PLS-SEM for Software Engineering Research Hit paper breakdown → | 2021 | 152 |
| 2 | 2021 | 128 | |
| 3 | Navigating the Complexity of Generative AI Adoption in Software Engineering Hit paper breakdown → | 2024 | 115 |
| 4 | 2021 | 76 | |
| 5 | 2021 | 52 | |
| 6 | 2020 | 46 | |
| 7 | 2022 | 44 | |
| 8 | 2021 | 41 | |
| 9 | 2022 | 40 | |
| 10 | 2016 | 30 | |
| 11 | 2022 | 24 | |
| 12 | 2017 | 23 | |
| 13 | 2024 | 22 | |
| 14 | 2018 | 19 | |
| 15 | 2023 | 18 | |
| 16 | 2024 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2019 | 16 | |
| 19 | 2016 | 14 | |
| 20 | 2018 | 14 |
About Daniel Russo
Daniel Russo is a scholar working on Information Systems, Computer Science Applications, Information Systems and Management, Artificial Intelligence and Sociology and Political Science, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Software Engineering Techniques and Practices (28 papers), Software Engineering Research (6 papers), Work-Family Balance Challenges (6 papers), Teaching and Learning Programming (6 papers), Advanced Software Engineering Methodologies (5 papers), Technology Adoption and User Behaviour (4 papers), Team Dynamics and Performance (2 papers) and Intellectual Property Law (2 papers). The work is most often cited by research in Information Systems (525 citations), Computer Science Applications (87 citations), Information Systems and Management (89 citations), Safety Research (82 citations) and Human Factors and Ergonomics (22 citations). Daniel Russo has collaborated with scholars based in Denmark, Italy and Russia. Frequent co-authors include Klaas-Jan Stol, Paolo Ciancarini, Niels van Berkel, Paul H. P. Hanel, Simo Johannes Hosio, Mikael B. Skov, Jorge Gonçalves, Darja Šmite, Francesco Poggi and Paolo Tell. Their work appears in journals such as ACM Transactions on Software Engineering and Methodology, Empirical Software Engineering, Journal of Systems and Software, IEEE Transactions on Software Engineering 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.