Martin Spieß
- Statistics and Probability top 5%
- Economics and Econometrics
- Sociology and Political Science
- Management Science and Operations Research
- Renewable Energy, Sustainability and the Environment
- Co-authors
- Pascal JordanWenzel MatiaskeRoland MengesAlfred HamerleKristian KleinkeJost ReineckeMartin KrohOnur Güntürkün
- Topics
- Statistical Methods and Bayesian Inference (17 papers)Statistical Methods and Inference (8 papers)Spatial and Panel Data Analysis (8 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchGeneral Decision Sciences
- Journals
- SHILAP Revista de lepidopterologíaEnergy PolicyStatistics in Medicine
- Partner nations
- GermanyNew ZealandSpain
In The Last Decade
Martin Spieß
38 papers receiving 255 citations
Peers
Comparison fields: 5 of 93
- Statistics and Probability 70
- Economics and Econometrics 47
- Sociology and Political Science 40
- Management Science and Operations Research 36
- Renewable Energy, Sustainability and the Environment 24
Countries citing papers authored by Martin Spieß
This map shows the geographic impact of Martin Spieß'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 Martin Spieß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Spieß more than expected).
Fields of papers citing papers by Martin Spieß
This network shows the impact of papers produced by Martin Spieß. 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 Martin Spieß. The network helps show where Martin Spieß may publish in the future.
Co-authorship network of co-authors of Martin Spieß
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Spieß. A scholar is included among the top collaborators of Martin Spieß 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 Martin Spieß. Martin Spieß 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 | 16 | |
| 5 | 24 | |
| 6 | 9 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 0 | |
| 14 | 8 | |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 7 | |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 23 |
About Martin Spieß
Martin Spieß is a scholar working on Statistics and Probability, Management Science and Operations Research and General Economics, Econometrics and Finance, having authored 40 papers that have together received 264 indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (17 papers), Statistical Methods and Inference (8 papers) and Spatial and Panel Data Analysis (8 papers). The work is most often cited by research in Statistics and Probability (70 citations), Management Science and Operations Research (36 citations) and General Decision Sciences (4 citations). Martin Spieß has collaborated with scholars based in Germany, New Zealand and Spain. Frequent co-authors include Pascal Jordan, Wenzel Matiaske, Roland Menges, Alfred Hamerle, Kristian Kleinke, Jost Reinecke, Martin Kroh, Onur Güntürkün, Andreas Wohlschläger and Stef van Buuren. Their work appears in journals such as SHILAP Revista de lepidopterología, Energy Policy and Statistics in Medicine.
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.