Julia Herbinger
Impact in
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- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
Papers in
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- Monetary Policy and Economic Impact 2
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- Machine Learning and Data Classification 2
- Metaheuristic Optimization Algorithms Research 1
- Co-authors
- Bernd Bischl (2 shared papers)Giuseppe Casalicchio (2 shared papers)Clemens Stachl (1 shared paper)Quay Au (1 shared paper)Nicole Estrella (1 shared paper)Joan Bech (1 shared paper)Annette Menzel (1 shared paper)Frank Thomas Seifried (2 shared papers)
- Journals
- Remote Sensing (1 paper)Annals of Operations Research (1 paper)Data Mining and Knowledge Discovery (1 paper)SSRN Electronic Journal (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- GermanySwitzerlandSpain
In The Last Decade
Julia Herbinger
5 papers receiving 61 citations
Peers
Comparison fields: 5 of 50
- Health Informatics 2
- Atmospheric Science 15
- Environmental Engineering 11
- Management Science and Operations Research 9
- Health Information Management 3
Countries citing papers authored by Julia Herbinger
This map shows the geographic impact of Julia Herbinger'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 Julia Herbinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Herbinger more than expected).
Fields of papers citing papers by Julia Herbinger
This network shows the impact of papers produced by Julia Herbinger. 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 Julia Herbinger. The network helps show where Julia Herbinger may publish in the future.
Co-authors
The 9 scholars most cited alongside Julia Herbinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 35 | |
| 2 | 2022 | 13 | |
| 3 | 2021 | 8 | |
| 4 | 2021 | 6 | |
| 5 | 2019 | 1 |
About Julia Herbinger
Julia Herbinger is a scholar working on General Economics, Econometrics and Finance, Artificial Intelligence, Economics and Econometrics, Finance and Computational Theory and Mathematics, having authored 5 papers that have together received 63 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (2 papers), Monetary Policy and Economic Impact (2 papers), Market Dynamics and Volatility (2 papers), Financial Markets and Investment Strategies (1 paper), Statistical Methods and Inference (1 paper), Metaheuristic Optimization Algorithms Research (1 paper), Precipitation Measurement and Analysis (1 paper) and Meteorological Phenomena and Simulations (1 paper). The work is most often cited by research in Health Informatics (2 citations), Atmospheric Science (15 citations), Environmental Engineering (11 citations), Management Science and Operations Research (9 citations) and Health Information Management (3 citations). Julia Herbinger has collaborated with scholars based in Germany, Switzerland and Spain. Frequent co-authors include Bernd Bischl, Giuseppe Casalicchio, Clemens Stachl, Quay Au, Nicole Estrella, Joan Bech, Annette Menzel, Frank Thomas Seifried and Marius Lindauer. Their work appears in journals such as Remote Sensing, Annals of Operations Research, Data Mining and Knowledge Discovery, SSRN Electronic Journal and arXiv (Cornell University).
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.