John F. Kottas
- Industrial and Manufacturing Engineering top 2%
- Management Science and Operations Research top 5%
- Management Information Systems top 5%
- Statistics, Probability and Uncertainty top 5%
- Statistics and Probability top 10%
- Co-authors
- Hon‐Shiang LauAmy Hing‐Ling Lau
- Topics
- Supply Chain and Inventory Management (6 papers)Probabilistic and Robust Engineering Design (4 papers)Scheduling and Optimization Algorithms (4 papers)
- Cited by
- Industrial and Manufacturing EngineeringManagement Information SystemsManagement Science and Operations Research
- Partner nations
- United StatesHong Kong
In The Last Decade
John F. Kottas
21 papers receiving 322 citations
Peers
Comparison fields: 5 of 39
- Industrial and Manufacturing Engineering 192
- Management Science and Operations Research 117
- Management Information Systems 91
- Statistics, Probability and Uncertainty 54
- Statistics and Probability 33
Countries citing papers authored by John F. Kottas
This map shows the geographic impact of John F. Kottas'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 John F. Kottas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John F. Kottas more than expected).
Fields of papers citing papers by John F. Kottas
This network shows the impact of papers produced by John F. Kottas. 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 John F. Kottas. The network helps show where John F. Kottas may publish in the future.
Co-authorship network of co-authors of John F. Kottas
This figure shows the co-authorship network connecting the top 25 collaborators of John F. Kottas. A scholar is included among the top collaborators of John F. Kottas 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 John F. Kottas. John F. Kottas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 60 | |
| 6 | 48 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 6 | |
| 12 | 28 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 18 | |
| 16 | 8 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 44 | |
| 20 | 68 |
About John F. Kottas
John F. Kottas is a scholar working on Statistics, Probability and Uncertainty, Management Information Systems and Management Science and Operations Research, having authored 22 papers that have together received 345 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (6 papers), Probabilistic and Robust Engineering Design (4 papers) and Scheduling and Optimization Algorithms (4 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (192 citations), Management Information Systems (91 citations) and Management Science and Operations Research (117 citations). John F. Kottas has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Hon‐Shiang Lau and Amy Hing‐Ling Lau. Their work appears in journals such as Management Science, European Journal of Operational Research and Journal of Operations Management.
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.