A. Kaufmann
- Management Science and Operations Research top 0.5%
- Statistics and Probability top 0.5%
- Control and Systems Engineering top 2%
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Madan M. GuptaGerd Bohlender
- Topics
- Multi-Criteria Decision Making (3 papers)Fuzzy Systems and Optimization (1 paper)Supply Chain and Inventory Management (1 paper)
- Cited by
- Management Science and Operations ResearchStatistics and ProbabilityControl and Systems Engineering
- Journals
- European Journal of Operational ResearchMathematics of ComputationIEEE Transactions on Systems Man and Cybernetics
In The Last Decade
A. Kaufmann
7 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Management Science and Operations Research 1.2k
- Statistics and Probability 590
- Control and Systems Engineering 506
- Artificial Intelligence 444
- Computational Theory and Mathematics 238
Countries citing papers authored by A. Kaufmann
This map shows the geographic impact of A. Kaufmann'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 A. Kaufmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Kaufmann more than expected).
Fields of papers citing papers by A. Kaufmann
This network shows the impact of papers produced by A. Kaufmann. 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 A. Kaufmann. The network helps show where A. Kaufmann may publish in the future.
Co-authorship network of co-authors of A. Kaufmann
This figure shows the co-authorship network connecting the top 25 collaborators of A. Kaufmann. A scholar is included among the top collaborators of A. Kaufmann 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 A. Kaufmann. A. Kaufmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Introduction a la theorie des sous-ensembles flous a l'usage des ingenieurs (Fuzzy sets theory) | 2 |
| 2 | 6 | |
| 3 | Introduction to fuzzy arithmetic : theory and applicationsbreakdown → | 1357 |
| 4 | 10 | |
| 5 | Introduction to Fuzzy Arithmetic, Theory and Applications.breakdown → | 587 |
| 6 | 50 | |
| 7 | Methods and models of operation research | 1 |
About A. Kaufmann
A. Kaufmann is a scholar working on Management Science and Operations Research, Statistics and Probability and Management Information Systems, having authored 7 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (3 papers), Fuzzy Systems and Optimization (1 paper) and Supply Chain and Inventory Management (1 paper). The work is most often cited by research in Management Science and Operations Research (1.2k citations), Statistics and Probability (590 citations) and Control and Systems Engineering (506 citations). Frequent co-authors include Madan M. Gupta and Gerd Bohlender. Their work appears in journals such as European Journal of Operational Research, Mathematics of Computation and IEEE Transactions on Systems Man and Cybernetics.
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.