G. Feigin
- Industrial and Manufacturing Engineering top 2%
- Management Information Systems top 2%
- Management Science and Operations Research top 10%
- Strategy and Management top 10%
- Computational Theory and Mathematics
- Co-authors
- D.D. YaoDaniel P. ConnorsMarkus EttlGrace LinDavid D. YaoStuart BermonS.J. HoodKaan Katırcıoğlu
- Topics
- Scheduling and Optimization Algorithms (5 papers)Advanced Queuing Theory Analysis (4 papers)Supply Chain and Inventory Management (2 papers)
- Cited by
- Management Information SystemsIndustrial and Manufacturing EngineeringManagement Science and Operations Research
- Journals
- Operations ResearchIEEE Transactions on Robotics and AutomationIEEE Transactions on Semiconductor Manufacturing
- Partner nations
- United States
In The Last Decade
G. Feigin
7 papers receiving 331 citations
Peers
Comparison fields: 5 of 31
- Industrial and Manufacturing Engineering 255
- Management Information Systems 234
- Management Science and Operations Research 69
- Strategy and Management 65
- Computational Theory and Mathematics 31
Countries citing papers authored by G. Feigin
This map shows the geographic impact of G. Feigin'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 G. Feigin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Feigin more than expected).
Fields of papers citing papers by G. Feigin
This network shows the impact of papers produced by G. Feigin. 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 G. Feigin. The network helps show where G. Feigin may publish in the future.
Co-authorship network of co-authors of G. Feigin
This figure shows the co-authorship network connecting the top 25 collaborators of G. Feigin. A scholar is included among the top collaborators of G. Feigin 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 G. Feigin. G. Feigin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | The Art of Computer Modeling for Business Analytics: Paradigms and Case Studies | 1 |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 177 | |
| 7 | 120 | |
| 8 | 59 |
About G. Feigin
G. Feigin is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Management of Technology and Innovation, having authored 8 papers that have together received 369 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (5 papers), Advanced Queuing Theory Analysis (4 papers) and Supply Chain and Inventory Management (2 papers). The work is most often cited by research in Management Information Systems (234 citations), Industrial and Manufacturing Engineering (255 citations) and Management Science and Operations Research (69 citations). G. Feigin has collaborated with scholars based in United States. Frequent co-authors include D.D. Yao, Daniel P. Connors, Markus Ettl, Grace Lin, David D. Yao, Stuart Bermon, S.J. Hood and Kaan Katırcıoğlu. Their work appears in journals such as Operations Research, IEEE Transactions on Robotics and Automation and IEEE Transactions on Semiconductor Manufacturing.
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.