Jeffrey Saltz
About
In The Last Decade
Jeffrey Saltz
65 papers receiving 850 citations
Peers
Comparison fields: 5 of 98
- Management Information Systems 399
- Information Systems 303
- Information Systems and Management 165
- Management Science and Operations Research 158
- Artificial Intelligence 147
Countries citing papers authored by Jeffrey Saltz
This map shows the geographic impact of Jeffrey Saltz'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 Jeffrey Saltz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey Saltz more than expected).
Fields of papers citing papers by Jeffrey Saltz
This network shows the impact of papers produced by Jeffrey Saltz. 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 Jeffrey Saltz. The network helps show where Jeffrey Saltz may publish in the future.
Co-authorship network of co-authors of Jeffrey Saltz
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey Saltz. A scholar is included among the top collaborators of Jeffrey Saltz 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 Jeffrey Saltz. Jeffrey Saltz 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 | 3 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 20 | |
| 8 | Exploring Which Agile Principles Students Internalize When Using a Kanban Process Methodology | 6 |
| 9 | Ethics in Data Science Projects: current Practices and Perceptions. | 1 |
| 10 | 51 | |
| 11 | 4 | |
| 12 | Exploring Project Management Methodologies Used Within Data Science Teams | 21 |
| 13 | Introduction to agile and lean: Organizations, products, and development minitrack | 1 |
| 14 | Identifying the Key Drivers for Teams to Use a Data Science Process Methodology | 6 |
| 15 | EXPLORING HOW DIFFERENT PROJECT MANAGEMENT METHODOLOGIES IMPACT DATA SCIENCE STUDENTS | 6 |
| 16 | Acceptance factors for using a big data capability and maturity model | 6 |
| 17 | The GET Immersion Experience: A New Model for Leveraging the Synergies between Industry and Academia | 7 |
| 18 | The role of large scale computing in computer science education: panel presentation | 0 |
| 19 | Measuring Student Participation in a Web-based Environment: A Framework for Developing New Tools. | 1 |
| 20 | 9 |
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.