Jeffrey Saltz
Publications by Year
Research Areas
Big Data and Business Intelligence, Software Engineering Techniques and Practices, Scientific Computing and Data Management, Digital Transformation in Industry, Data Quality and Management
Most-Cited Works
- → Integrating Ethics within Machine Learning Courses(2019)162 cited
- → Big data and extreme-scale computing(2018)132 cited
- → The need for new processes, methodologies and tools to support big data teams and improve big data project effectiveness(2015)107 cited
- → Data science ethical considerations: a systematic literature review and proposed project framework(2019)89 cited
- → Big data team process methodologies: A literature review and the identification of key factors for a project's success(2016)89 cited
- → Comparing Data Science Project Management Methodologies via a Controlled Experiment(2017)78 cited
- → CRISP-DM for Data Science: Strengths, Weaknesses and Potential Next Steps(2021)65 cited
- → Using Structured Pair Activities in a Distributed Online Breakout Room(2020)60 cited
- → The ambiguity of data science team roles and the need for a data science workforce framework(2017)49 cited
- → Key Concepts for a Data Science Ethics Curriculum(2018)48 cited