Beat Kleiner
- Economics and Econometrics top 1%
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 2%
- Global and Planetary Change top 2%
- Environmental Engineering top 2%
- Co-authors
- William S. ClevelandT. E. GraedelG. DumermuthJ. A. HartiganThomas GasserJack L. WarnerB. W. StuckJohn M. Chambers
- Topics
- Air Quality and Health Impacts (7 papers)Blind Source Separation Techniques (7 papers)Atmospheric chemistry and aerosols (6 papers)
- Journals
- ScienceJournal of Geophysical Research AtmospheresJournal of the American Statistical Association
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Beat Kleiner
30 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 219
- Economics and Econometrics 873
- Management Science and Operations Research 868
- Artificial Intelligence 777
- Global and Planetary Change 715
- Environmental Engineering 600
Countries citing papers authored by Beat Kleiner
This map shows the geographic impact of Beat Kleiner'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 Beat Kleiner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beat Kleiner more than expected).
Fields of papers citing papers by Beat Kleiner
This network shows the impact of papers produced by Beat Kleiner. 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 Beat Kleiner. The network helps show where Beat Kleiner may publish in the future.
Co-authorship network of co-authors of Beat Kleiner
This figure shows the co-authorship network connecting the top 25 collaborators of Beat Kleiner. A scholar is included among the top collaborators of Beat Kleiner 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 Beat Kleiner. Beat Kleiner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 156 | |
| 2 | 34 | |
| 3 | 20 | |
| 4 | 97 | |
| 5 | 58 | |
| 6 | 104 | |
| 7 | Time Series Analysis: Forecasting and Controlbreakdown → | 2250 |
| 8 | Time Series Analysis: Forecasting and Controlbreakdown → | 2208 |
| 9 | 11 | |
| 10 | 11 | |
| 11 | 17 | |
| 12 | 99 | |
| 13 | 6 | |
| 14 | 145 | |
| 15 | 82 | |
| 16 | 1 | |
| 17 | Numerical Analysis of Electroencephalogra- phic Data | 1 |
| 18 | 9 | |
| 19 | 19 | |
| 20 | 30 |
About Beat Kleiner
Beat Kleiner is a scholar working on Signal Processing, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 30 papers that have together received 5.9k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (7 papers), Blind Source Separation Techniques (7 papers) and Atmospheric chemistry and aerosols (6 papers). The work is most often cited by research in Management Science and Operations Research (868 citations), Statistics and Probability (451 citations) and Signal Processing (513 citations). Beat Kleiner has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include William S. Cleveland, T. E. Graedel, G. Dumermuth, J. A. Hartigan, Thomas Gasser, Jack L. Warner, B. W. Stuck, John M. Chambers, Paul A. Tukey and Peter Huber. Their work appears in journals such as Science, Journal of Geophysical Research Atmospheres and Journal of the American Statistical Association.
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.