Andrew Vázsonyi
- Management Science and Operations Research top 5%
- Management Information Systems top 10%
- Industrial and Manufacturing Engineering top 10%
- Strategy and Management
- Management of Technology and Innovation top 10%
- Co-authors
- Robert L. GravesLinda DéghWilliam KarushPreston C. HammerM. L. VidaleW. Allen SpiveyMiklós Kontra
- Topics
- Big Data and Business Intelligence (7 papers)Scheduling and Optimization Algorithms (4 papers)Operations Management Techniques (4 papers)
- Cited by
- Management Information SystemsManagement Science and Operations ResearchIndustrial and Manufacturing Engineering
- Partner nations
- United StatesCanadaChina
In The Last Decade
Andrew Vázsonyi
43 papers receiving 228 citations
Peers
Comparison fields: 5 of 80
- Management Science and Operations Research 92
- Management Information Systems 84
- Industrial and Manufacturing Engineering 57
- Strategy and Management 40
- Management of Technology and Innovation 26
Countries citing papers authored by Andrew Vázsonyi
This map shows the geographic impact of Andrew Vázsonyi'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 Andrew Vázsonyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Vázsonyi more than expected).
Fields of papers citing papers by Andrew Vázsonyi
This network shows the impact of papers produced by Andrew Vázsonyi. 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 Andrew Vázsonyi. The network helps show where Andrew Vázsonyi may publish in the future.
Co-authorship network of co-authors of Andrew Vázsonyi
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Vázsonyi. A scholar is included among the top collaborators of Andrew Vázsonyi 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 Andrew Vázsonyi. Andrew Vázsonyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Operations Analysis Using Excel | 1 |
| 2 | Paul Erdős, the world's most beloved mathematical genius ``leaves'' | 0 |
| 3 | Quantitative Analysis for Business | 2 |
| 4 | 3 | |
| 5 | Introduction to data processing | 1 |
| 6 | 7 | |
| 7 | Finite mathematics: Quantitative analysis for management | 2 |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 7 | |
| 13 | Introduction to electronic data processing | 0 |
| 14 | 10 | |
| 15 | 2 | |
| 16 | Die Planungsrechnung in Wirtschaft und Industrie | 4 |
| 17 | Extending Management Capability by Electronic Computers. | 1 |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 3 |
About Andrew Vázsonyi
Andrew Vázsonyi is a scholar working on Management Science and Operations Research, Software and Management Information Systems, having authored 50 papers that have together received 294 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (7 papers), Scheduling and Optimization Algorithms (4 papers) and Operations Management Techniques (4 papers). The work is most often cited by research in Management Information Systems (84 citations), Management Science and Operations Research (92 citations) and Industrial and Manufacturing Engineering (57 citations). Andrew Vázsonyi has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Robert L. Graves, Linda Dégh, William Karush, Preston C. Hammer, M. L. Vidale, W. Allen Spivey and Miklós Kontra. Their work appears in journals such as Journal of the American Statistical Association, Journal of Marketing and Management Science.
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.