Orion Penner
- Statistics, Probability and Uncertainty top 1%
- Economics and Econometrics top 5%
- Strategy and Management top 10%
- Statistical and Nonlinear Physics top 10%
- Sociology and Political Science
- Co-authors
- Alexander M. PetersenMassimo RiccaboniFabio PammolliH. Eugene StanleyRaj Kumar PanSanto FortunatoKimmo KaskiArmando Rungi
- Topics
- scientometrics and bibliometrics research (7 papers)Biomedical Text Mining and Ontologies (3 papers)Sports Analytics and Performance (3 papers)
- Cited by
- Statistics, Probability and UncertaintyInformation Systems and ManagementManagement of Technology and Innovation
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Orion Penner
20 papers receiving 508 citations
Peers
Comparison fields: 5 of 96
- Statistics, Probability and Uncertainty 210
- Economics and Econometrics 166
- Strategy and Management 91
- Statistical and Nonlinear Physics 90
- Sociology and Political Science 55
Countries citing papers authored by Orion Penner
This map shows the geographic impact of Orion Penner'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 Orion Penner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Orion Penner more than expected).
Fields of papers citing papers by Orion Penner
This network shows the impact of papers produced by Orion Penner. 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 Orion Penner. The network helps show where Orion Penner may publish in the future.
Co-authorship network of co-authors of Orion Penner
This figure shows the co-authorship network connecting the top 25 collaborators of Orion Penner. A scholar is included among the top collaborators of Orion Penner 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 Orion Penner. Orion Penner 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | Evolution of Topics and Novelty in Science. | 1 |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 200 | |
| 10 | 0 | |
| 11 | 27 | |
| 12 | 37 | |
| 13 | 87 | |
| 14 | Commentary: The case for caution in predicting scientists’ future impact | 21 |
| 15 | 5 | |
| 16 | 2 | |
| 17 | Methods for Detrending Success Metrics to Account for Inflationary and Deflationary Factors | 0 |
| 18 | 16 | |
| 19 | 2 | |
| 20 | 5 |
About Orion Penner
Orion Penner is a scholar working on Statistics, Probability and Uncertainty, General Social Sciences and Information Systems and Management, having authored 23 papers that have together received 534 indexed citations. Recurring topics across this work include scientometrics and bibliometrics research (7 papers), Biomedical Text Mining and Ontologies (3 papers) and Sports Analytics and Performance (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (210 citations), Information Systems and Management (52 citations) and Management of Technology and Innovation (52 citations). Orion Penner has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Alexander M. Petersen, Massimo Riccaboni, Fabio Pammolli, H. Eugene Stanley, Raj Kumar Pan, Santo Fortunato, Kimmo Kaski, Armando Rungi, Alessandro Chessa and Amin Mazloumian. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.
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.