Stephen M. Pollock
- Management Science and Operations Research top 5%
- Infectious Diseases top 10%
- Statistics, Probability and Uncertainty top 2%
- Industrial and Manufacturing Engineering top 5%
- Artificial Intelligence top 10%
- Co-authors
- Damodar Y. GolharLisa M. MaillartCarl G. SimonJohn A. JacquezJames S. KoopmanDaniel Barth-JonesKenneth LangeAndrew L. Adams
- Topics
- Advanced Statistical Process Monitoring (5 papers)Advanced Queuing Theory Analysis (5 papers)Supply Chain and Inventory Management (4 papers)
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Stephen M. Pollock
53 papers receiving 879 citations
Peers
Comparison fields: 5 of 121
- Management Science and Operations Research 172
- Infectious Diseases 159
- Statistics, Probability and Uncertainty 143
- Industrial and Manufacturing Engineering 143
- Artificial Intelligence 129
Countries citing papers authored by Stephen M. Pollock
This map shows the geographic impact of Stephen M. Pollock'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 Stephen M. Pollock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Pollock more than expected).
Fields of papers citing papers by Stephen M. Pollock
This network shows the impact of papers produced by Stephen M. Pollock. 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 Stephen M. Pollock. The network helps show where Stephen M. Pollock may publish in the future.
Co-authorship network of co-authors of Stephen M. Pollock
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Pollock. A scholar is included among the top collaborators of Stephen M. Pollock 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 Stephen M. Pollock. Stephen M. Pollock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 16 | |
| 5 | 27 | |
| 6 | 26 | |
| 7 | 8 | |
| 8 | 10 | |
| 9 | 6 | |
| 10 | Lagged Dependent Variables Distributed Lags and Autoregressive Residuals | 1 |
| 11 | Operating characteristics for detection of process change. Part 1 theoretical development | 1 |
| 12 | 16 | |
| 13 | 5 | |
| 14 | 76 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 21 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 17 |
About Stephen M. Pollock
Stephen M. Pollock is a scholar working on Medical Laboratory Technology, Management Information Systems and Statistics, Probability and Uncertainty, having authored 56 papers that have together received 969 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (5 papers), Advanced Queuing Theory Analysis (5 papers) and Supply Chain and Inventory Management (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (143 citations), Virology (95 citations) and General Decision Sciences (34 citations). Stephen M. Pollock has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Damodar Y. Golhar, Lisa M. Maillart, Carl G. Simon, John A. Jacquez, James S. Koopman, Daniel Barth-Jones, Kenneth Lange, Andrew L. Adams, Betsy Foxman and Hyoseong Lee. Their work appears in journals such as Science, Management Science and European Journal of Operational Research.
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.