Aloïs Kneip
- Statistics and Probability top 0.5%
- Economics and Econometrics top 1%
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 5%
- General Economics, Econometrics and Finance top 2%
- Co-authors
- Théo GasserLéopold SimarPaul W. WilsonW KöhlerByeong U. ParkKlaus J. UtikalA. PraderJ. O. Ramsay
- Topics
- Statistical Methods and Inference (16 papers)Advanced Statistical Methods and Models (16 papers)Efficiency Analysis Using DEA (10 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchEconomics and Econometrics
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Aloïs Kneip
57 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 158
- Statistics and Probability 879
- Economics and Econometrics 870
- Management Science and Operations Research 793
- Artificial Intelligence 340
- General Economics, Econometrics and Finance 244
Countries citing papers authored by Aloïs Kneip
This map shows the geographic impact of Aloïs Kneip'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 Aloïs Kneip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aloïs Kneip more than expected).
Fields of papers citing papers by Aloïs Kneip
This network shows the impact of papers produced by Aloïs Kneip. 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 Aloïs Kneip. The network helps show where Aloïs Kneip may publish in the future.
Co-authorship network of co-authors of Aloïs Kneip
This figure shows the co-authorship network connecting the top 25 collaborators of Aloïs Kneip. A scholar is included among the top collaborators of Aloïs Kneip 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 Aloïs Kneip. Aloïs Kneip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 72 | |
| 2 | 61 | |
| 3 | 34 | |
| 4 | 1 | |
| 5 | Panel Data Models with Unobserved Multiple Time - Varying Effects to Estimate Risk Premium of Corporate Bonds | 1 |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | Asymptotics for DEA estimators in non-parametric frontier models | 33 |
| 10 | Une analyse non paramétrique des distributions du revenu et des caractéristiques des ménages | 3 |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 41 | |
| 14 | 84 | |
| 15 | 20 | |
| 16 | 72 | |
| 17 | 22 | |
| 18 | 47 | |
| 19 | 64 | |
| 20 | 7 |
About Aloïs Kneip
Aloïs Kneip is a scholar working on Statistics and Probability, Management Science and Operations Research and General Economics, Econometrics and Finance, having authored 60 papers that have together received 2.8k indexed citations. Recurring topics across this work include Statistical Methods and Inference (16 papers), Advanced Statistical Methods and Models (16 papers) and Efficiency Analysis Using DEA (10 papers). The work is most often cited by research in Statistics and Probability (879 citations), Management Science and Operations Research (793 citations) and Economics and Econometrics (870 citations). Aloïs Kneip has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Théo Gasser, Léopold Simar, Paul W. Wilson, W Köhler, Byeong U. Park, Klaus J. Utikal, A. Prader, J. O. Ramsay, Joachim Engel and Luciano Molinari. Their work appears in journals such as Journal of the American Statistical Association, Biometrika and Journal of Econometrics.
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.