Sarah Hallerberg
- Statistical and Nonlinear Physics top 5%
- Computer Networks and Communications top 10%
- Economics and Econometrics top 10%
- Global and Planetary Change
- Cognitive Neuroscience
- Co-authors
- Marc TimmeHölger KantzMor NitzanXiaozhu ZhangMartin RohdenDirk WitthautEduardo G. AltmannChristian Kuehn
- Topics
- Complex Systems and Time Series Analysis (5 papers)Animal Vocal Communication and Behavior (4 papers)Ecosystem dynamics and resilience (4 papers)
- Journals
- Physical Review LettersNature CommunicationsThe Journal of the Acoustical Society of America
- Partner nations
- GermanySpainUnited States
In The Last Decade
Sarah Hallerberg
18 papers receiving 387 citations
Peers
Comparison fields: 5 of 77
- Statistical and Nonlinear Physics 156
- Computer Networks and Communications 98
- Economics and Econometrics 75
- Global and Planetary Change 66
- Cognitive Neuroscience 61
Countries citing papers authored by Sarah Hallerberg
This map shows the geographic impact of Sarah Hallerberg'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 Hallerberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah Hallerberg more than expected).
Fields of papers citing papers by Sarah Hallerberg
This network shows the impact of papers produced by Sarah Hallerberg. 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 Hallerberg. The network helps show where Sarah Hallerberg may publish in the future.
Co-authorship network of co-authors of Sarah Hallerberg
This figure shows the co-authorship network connecting the top 25 collaborators of Sarah Hallerberg. A scholar is included among the top collaborators of Sarah Hallerberg 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 Hallerberg. Sarah Hallerberg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 32 | |
| 4 | 16 | |
| 5 | 105 | |
| 6 | 12 | |
| 7 | 7 | |
| 8 | 66 | |
| 9 | 17 | |
| 10 | 6 | |
| 11 | 13 | |
| 12 | 28 | |
| 13 | Predictability of Extreme Events in Time Series | 3 |
| 14 | 27 | |
| 15 | 7 | |
| 16 | 25 | |
| 17 | Dynamical interpretation of extreme events: Predictions and predictability | 2 |
| 18 | 15 |
About Sarah Hallerberg
Sarah Hallerberg is a scholar working on Developmental Biology, Statistical and Nonlinear Physics and Finance, having authored 18 papers that have together received 398 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (5 papers), Animal Vocal Communication and Behavior (4 papers) and Ecosystem dynamics and resilience (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (156 citations), Developmental Biology (27 citations) and Computer Networks and Communications (98 citations). Sarah Hallerberg has collaborated with scholars based in Germany, Spain and United States. Frequent co-authors include Marc Timme, Hölger Kantz, Mor Nitzan, Xiaozhu Zhang, Martin Rohden, Dirk Witthaut, Eduardo G. Altmann, Christian Kuehn, Henrik Ronellenfitsch and Kurt Hammerschmidt. Their work appears in journals such as Physical Review Letters, Nature Communications and The Journal of the Acoustical Society of America.
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.