Jan Hannig
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Statistics, Probability and Uncertainty top 0.5%
- Management Science and Operations Research top 5%
- Finance top 5%
- Co-authors
- Hari IyerThomas C. M. LeePaul L. PattersonSuzanne S. LeeJ. S. MarronJessi Cisewski-KeheFred TorcasoFuchang Gao
- Topics
- Advanced Statistical Methods and Models (24 papers)Statistical Methods and Bayesian Inference (21 papers)Statistical Methods and Inference (21 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationJournal of Financial Economics
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Jan Hannig
77 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 122
- Statistics and Probability 939
- Artificial Intelligence 327
- Statistics, Probability and Uncertainty 322
- Management Science and Operations Research 192
- Finance 189
Countries citing papers authored by Jan Hannig
This map shows the geographic impact of Jan Hannig'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 Jan Hannig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Hannig more than expected).
Fields of papers citing papers by Jan Hannig
This network shows the impact of papers produced by Jan Hannig. 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 Jan Hannig. The network helps show where Jan Hannig may publish in the future.
Co-authorship network of co-authors of Jan Hannig
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Hannig. A scholar is included among the top collaborators of Jan Hannig 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 Jan Hannig. Jan Hannig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 49 | |
| 10 | 9 | |
| 11 | 20 | |
| 12 | 15 | |
| 13 | 17 | |
| 14 | 18 | |
| 15 | 14 | |
| 16 | ON GENERALIZED FIDUCIAL INFERENCE | 174 |
| 17 | Tracking of multiple merging and splitting targets: A statistical perspective | 12 |
| 18 | Fiducial Generalized Confidence Interval for Median Lethal Dose (LD50) | 1 |
| 19 | 44 | |
| 20 | 30 |
About Jan Hannig
Jan Hannig is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Neuropsychology and Physiological Psychology, having authored 90 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (24 papers), Statistical Methods and Bayesian Inference (21 papers) and Statistical Methods and Inference (21 papers). The work is most often cited by research in Statistics and Probability (939 citations), Statistics, Probability and Uncertainty (322 citations) and Finance (189 citations). Jan Hannig has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Hari Iyer, Thomas C. M. Lee, Paul L. Patterson, Suzanne S. Lee, J. S. Marron, Jessi Cisewski-Kehe, Fred Torcaso, Fuchang Gao, Qing Feng and Lukas Oudejans. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of Financial Economics.
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.