Jay D. Schwartz
Impact in
-
- Supply Chain and Inventory Management
-
- Scheduling and Optimization Algorithms
Papers in
-
- Advanced Control Systems Optimization 8
- Fault Detection and Control Systems 2
-
- Scheduling and Optimization Algorithms 5
- Flexible and Reconfigurable Manufacturing Systems 4
- Co-authors
- Daniel E. Rivera (10 shared papers)Anna Razatos (1 shared paper)Min S. Wang (1 shared paper)Manuel R. Arahal (2 shared papers)Karl G. Kempf (1 shared paper)
- Journals
- International Journal of Production Economics (1 paper)Automatica (1 paper)IEEE Transactions on Semiconductor Manufacturing (1 paper)Computers & Chemical Engineering (1 paper)Langmuir (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Jay D. Schwartz
12 papers receiving 304 citations
Peers
Comparison fields: 5 of 90
- Management Information Systems 92
- Industrial and Manufacturing Engineering 71
- Surfaces, Coatings and Films 40
- Control and Systems Engineering 92
- Management Science and Operations Research 41
Countries citing papers authored by Jay D. Schwartz
This map shows the geographic impact of Jay D. Schwartz'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 Jay D. Schwartz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay D. Schwartz more than expected).
Fields of papers citing papers by Jay D. Schwartz
This network shows the impact of papers produced by Jay D. Schwartz. 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 Jay D. Schwartz. The network helps show where Jay D. Schwartz may publish in the future.
Co-authors
The 5 scholars most cited alongside Jay D. Schwartz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 115 | |
| 2 | 2004 | 106 | |
| 3 | 2010 | 58 | |
| 4 | 2005 | 9 | |
| 5 | 2009 | 9 | |
| 6 | 2006 | 7 | |
| 7 | 2006 | 7 | |
| 8 | 2005 | 3 | |
| 9 | 2014 | 2 | |
| 10 | 2009 | 1 | |
| 11 | 2008 | 1 | |
| 12 | 2009 | 1 |
About Jay D. Schwartz
Jay D. Schwartz is a scholar working on Control and Systems Engineering, Industrial and Manufacturing Engineering, Management Science and Operations Research, Management Information Systems and Statistics, Probability and Uncertainty, having authored 12 papers that have together received 319 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (8 papers), Scheduling and Optimization Algorithms (5 papers), Simulation Techniques and Applications (4 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers), Supply Chain and Inventory Management (3 papers), Advanced Statistical Process Monitoring (3 papers), Fault Detection and Control Systems (2 papers) and Healthcare cost, quality, practices (1 paper). The work is most often cited by research in Management Information Systems (92 citations), Industrial and Manufacturing Engineering (71 citations), Surfaces, Coatings and Films (40 citations), Control and Systems Engineering (92 citations) and Management Science and Operations Research (41 citations). Jay D. Schwartz has collaborated with scholars based in United States and Spain. Frequent co-authors include Daniel E. Rivera, Anna Razatos, Min S. Wang, Manuel R. Arahal and Karl G. Kempf. Their work appears in journals such as International Journal of Production Economics, Automatica, IEEE Transactions on Semiconductor Manufacturing, Computers & Chemical Engineering and Langmuir.
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.