Daniela S. Cruzes
- Information Systems top 0.2%
- Software top 1%
- Computer Networks and Communications top 2%
- Computer Science Applications top 0.5%
- Artificial Intelligence top 5%
- Co-authors
- T. DybaTore DybåReidar ConradiDag I. K. SjøbergMartin Gilje JaatunNico ZazworkaVictor R. BasiliFábio Kon
- Topics
- Software Engineering Research (49 papers)Software Engineering Techniques and Practices (48 papers)Open Source Software Innovations (20 papers)
In The Last Decade
Daniela S. Cruzes
74 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Information Systems 1.8k
- Software 498
- Computer Networks and Communications 474
- Computer Science Applications 417
- Artificial Intelligence 324
Countries citing papers authored by Daniela S. Cruzes
This map shows the geographic impact of Daniela S. Cruzes'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 Daniela S. Cruzes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela S. Cruzes more than expected).
Fields of papers citing papers by Daniela S. Cruzes
This network shows the impact of papers produced by Daniela S. Cruzes. 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 Daniela S. Cruzes. The network helps show where Daniela S. Cruzes may publish in the future.
Co-authorship network of co-authors of Daniela S. Cruzes
This figure shows the co-authorship network connecting the top 25 collaborators of Daniela S. Cruzes. A scholar is included among the top collaborators of Daniela S. Cruzes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela S. Cruzes. Daniela S. Cruzes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 22 | |
| 5 | OAS DB: A Repository of Specifications to Support OpenAPI Research. | 1 |
| 6 | 2 | |
| 7 | Do software firms collaborate or compete? A model of coopetition in community-initiated OSS projects | 3 |
| 8 | 13 | |
| 9 | 16 | |
| 10 | Beliefs Underlying Teams Intention and Practice: An Application Of the Theory of Planned Behavior. | 5 |
| 11 | Automatically Locating Results to Support Systematic Reviews in Software Engineering | 2 |
| 12 | 8 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 9 | |
| 16 | 9 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 24 | |
| 20 | FindYourHelp: an expert search module on Moodle | 0 |
About Daniela S. Cruzes
Daniela S. Cruzes is a scholar working on Computer Science Applications, Software and Information Systems, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Software Engineering Research (49 papers), Software Engineering Techniques and Practices (48 papers) and Open Source Software Innovations (20 papers). The work is most often cited by research in Software (498 citations), Information Systems (1.8k citations) and Computer Science Applications (417 citations). Daniela S. Cruzes has collaborated with scholars based in Norway, Brazil and Sweden. Frequent co-authors include T. Dyba, Tore Dybå, Reidar Conradi, Dag I. K. Sjøberg, Martin Gilje Jaatun, Nico Zazworka, Victor R. Basili, Fábio Kon, Claudia de O. Melo and Anh Nguyen‐Duc. Their work appears in journals such as Journal of Systems and Software, Information and Software Technology and Computers & Security.
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.