Sarah Gelper
- Statistics and Probability top 2%
- Management Science and Operations Research top 5%
- Economics and Econometrics top 5%
- Sociology and Political Science top 10%
- Marketing top 10%
- Co-authors
- Christophe CrouxRoland FriedAndreas AlfonsAurélie LemmensRenana PeresJehoshua EliashbergGerrit van BruggenRalf van der Lans
- Topics
- Advanced Statistical Methods and Models (16 papers)Consumer Market Behavior and Pricing (8 papers)Forecasting Techniques and Applications (7 papers)
- Cited by
- Statistics and ProbabilityManagement Science and Operations ResearchStatistics, Probability and Uncertainty
- Partner nations
- BelgiumNetherlandsGermany
In The Last Decade
Sarah Gelper
36 papers receiving 837 citations
Peers
Comparison fields: 5 of 124
- Statistics and Probability 210
- Management Science and Operations Research 187
- Economics and Econometrics 179
- Sociology and Political Science 120
- Marketing 104
Countries citing papers authored by Sarah Gelper
This map shows the geographic impact of Sarah Gelper'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 Sarah Gelper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Gelper more than expected).
Fields of papers citing papers by Sarah Gelper
This network shows the impact of papers produced by Sarah Gelper. 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 Sarah Gelper. The network helps show where Sarah Gelper may publish in the future.
Co-authorship network of co-authors of Sarah Gelper
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Gelper. A scholar is included among the top collaborators of Sarah Gelper 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 Sarah Gelper. Sarah Gelper is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 42 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | Sparse vector autoregressive models with an application in marketing | 0 |
| 8 | 17 | |
| 9 | 6 | |
| 10 | Viral Marketing via Online Social Networks: Competing for Your Friends' Attention | 1 |
| 11 | 3 | |
| 12 | 49 | |
| 13 | 3 | |
| 14 | 28 | |
| 15 | 11 | |
| 16 | Economic time series analysis: Granger causality and robustness | 2 |
| 17 | 14 | |
| 18 | 18 | |
| 19 | 4 | |
| 20 | 1 |
About Sarah Gelper
Sarah Gelper is a scholar working on Statistics and Probability, Management Science and Operations Research and Marketing, having authored 40 papers that have together received 885 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (16 papers), Consumer Market Behavior and Pricing (8 papers) and Forecasting Techniques and Applications (7 papers). The work is most often cited by research in Statistics and Probability (210 citations), Management Science and Operations Research (187 citations) and Statistics, Probability and Uncertainty (102 citations). Sarah Gelper has collaborated with scholars based in Belgium, Netherlands and Germany. Frequent co-authors include Christophe Croux, Roland Fried, Andreas Alfons, Aurélie Lemmens, Renana Peres, Jehoshua Eliashberg, Gerrit van Bruggen, Ralf van der Lans, Ines Wilms and Fred Langerak. Their work appears in journals such as Management Science, Journal of Marketing Research and European Journal of Operational Research.
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.