Ingrid Hobæk Haff

23 papers and 953 indexed citations i.

About

Ingrid Hobæk Haff is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Ingrid Hobæk Haff has authored 23 papers receiving a total of 953 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Statistics and Probability, 7 papers in Finance and 6 papers in Artificial Intelligence. Recurrent topics in Ingrid Hobæk Haff’s work include Financial Risk and Volatility Modeling (7 papers), Bayesian Methods and Mixture Models (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Ingrid Hobæk Haff is often cited by papers focused on Financial Risk and Volatility Modeling (7 papers), Bayesian Methods and Mixture Models (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Ingrid Hobæk Haff collaborates with scholars based in Norway, Switzerland and Austria. Ingrid Hobæk Haff's co-authors include Kjersti Aas, Arnoldo Frigessi, Magne Aldrin, Douglas Maraun, Emanuele Bevacqua, Mathieu Vrac, Martin Widmann, Johan Segers, Geir Kjetil Sandve and Victor Greiff and has published in prestigious journals such as Genome Research, Atmospheric Environment and Energy Economics.

In The Last Decade

Co-authorship network of co-authors of Ingrid Hobæk Haff i

Fields of papers citing papers by Ingrid Hobæk Haff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ingrid Hobæk Haff. 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 Ingrid Hobæk Haff. The network helps show where Ingrid Hobæk Haff may publish in the future.

Countries citing papers authored by Ingrid Hobæk Haff

Since Specialization
Citations

This map shows the geographic impact of Ingrid Hobæk Haff'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 Ingrid Hobæk Haff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingrid Hobæk Haff more than expected).

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.

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