Timo Schmid
Impact in
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
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- demographic modeling and climate adaptation
Papers in
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- Spatial and Panel Data Analysis 15
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- demographic modeling and climate adaptation 12
- Co-authors
- Nikos Tzavidis (17 shared papers)Nicola Salvati (7 shared papers)Li‐Chun Zhang (1 shared paper)Ralf Münnich (2 shared papers)Eirini Flouri (1 shared paper)Emily Midouhas (1 shared paper)Matthias Templ (1 shared paper)Ulrich Rendtel (4 shared papers)
- Journals
- Journal of the Royal Statistical Society Series A (Statistics in Society) (8 papers)Journal of the Royal Statistical Society Series C (Applied Statistics) (2 papers)International Statistical Review (2 papers)Scandinavian Journal of Statistics (1 paper)Humanities and Social Sciences Communications (1 paper)
- Partner nations
- GermanyUnited KingdomItaly
In The Last Decade
Timo Schmid
33 papers receiving 322 citations
Peers
Comparison fields: 5 of 69
- Statistics and Probability 99
- Management Science and Operations Research 93
- Economics and Econometrics 146
- Transportation 27
- General Agricultural and Biological Sciences 23
Countries citing papers authored by Timo Schmid
This map shows the geographic impact of Timo Schmid'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 Timo Schmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timo Schmid more than expected).
Fields of papers citing papers by Timo Schmid
This network shows the impact of papers produced by Timo Schmid. 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 Timo Schmid. The network helps show where Timo Schmid may publish in the future.
Co-authors
The 24 scholars most cited alongside Timo Schmid, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 73 | |
| 2 | 2017 | 43 | |
| 3 | 2019 | 35 | |
| 4 | 2015 | 34 | |
| 5 | 2019 | 27 | |
| 6 | 2013 | 17 | |
| 7 | 2016 | 17 | |
| 8 | 2016 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2020 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2019 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2020 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 3 |
About Timo Schmid
Timo Schmid is a scholar working on Economics and Econometrics, Management Science and Operations Research, Statistics and Probability, Sociology and Political Science and General Agricultural and Biological Sciences, having authored 36 papers that have together received 341 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (15 papers), demographic modeling and climate adaptation (12 papers), Statistical Methods and Bayesian Inference (5 papers), Statistical Methods and Inference (5 papers), Income, Poverty, and Inequality (5 papers), Agricultural Economics and Policy (4 papers), Human Mobility and Location-Based Analysis (4 papers) and Impact of Light on Environment and Health (3 papers). The work is most often cited by research in Statistics and Probability (99 citations), Management Science and Operations Research (93 citations), Economics and Econometrics (146 citations), Transportation (27 citations) and General Agricultural and Biological Sciences (23 citations). Timo Schmid has collaborated with scholars based in Germany, United Kingdom and Italy. Frequent co-authors include Nikos Tzavidis, Nicola Salvati, Li‐Chun Zhang, Ralf Münnich, Eirini Flouri, Emily Midouhas, Matthias Templ, Ulrich Rendtel, Sebastian M. Schmon and Ray Chambers. Their work appears in journals such as Journal of the Royal Statistical Society Series A (Statistics in Society), Journal of the Royal Statistical Society Series C (Applied Statistics), International Statistical Review, Scandinavian Journal of Statistics and Humanities and Social Sciences Communications.
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.