Kristoffer H. Hellton

595 total citations
16 papers, 148 citations indexed

About

Kristoffer H. Hellton is a scholar working on Artificial Intelligence, Statistics and Probability and Psychiatry and Mental health. According to data from OpenAlex, Kristoffer H. Hellton has authored 16 papers receiving a total of 148 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Statistics and Probability and 3 papers in Psychiatry and Mental health. Recurrent topics in Kristoffer H. Hellton's work include Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Dementia and Cognitive Impairment Research (2 papers). Kristoffer H. Hellton is often cited by papers focused on Statistical Methods and Inference (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Dementia and Cognitive Impairment Research (2 papers). Kristoffer H. Hellton collaborates with scholars based in Norway, United Kingdom and Germany. Kristoffer H. Hellton's co-authors include Magne Thoresen, Nils Lid Hjort, Thordis L. Thorarinsdottir, Kolbjørn Engeland, Alex Lenkoski, Lasse M. Giil, Solveig Engebretsen, Dag Aarsland, Magne Aldrin and Audun Osland Vik‐Mo and has published in prestigious journals such as Journal of the American Statistical Association, Water Resources Research and Statistics in Medicine.

In The Last Decade

Kristoffer H. Hellton

13 papers receiving 144 citations

Peers

Countries citing papers authored by Kristoffer H. Hellton

Since Specialization

Citations

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

Fields of papers citing papers by Kristoffer H. Hellton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristoffer H. Hellton. 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 Kristoffer H. Hellton. The network helps show where Kristoffer H. Hellton may publish in the future.

Co-authorship network of co-authors of Kristoffer H. Hellton

This figure shows the co-authorship network connecting the top 25 collaborators of Kristoffer H. Hellton. A scholar is included among the top collaborators of Kristoffer H. Hellton 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 Kristoffer H. Hellton. Kristoffer H. Hellton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

#	Work	Indexed citations
1	Screening of cool season turfgrass species and varieties for tolerance to simulated ice encasement 2025 ·International Turfgrass Society research journal ·(unknown), (unknown), (unknown), Kristoffer H. Hellton, Trygve Aamlid	0
2	Yield predictions of timothy (Phleum pratense L.) in Norway under future climate scenarios 2023 ·Agricultural and Food Science ·Kristoffer H. Hellton, (unknown), Thordis L. Thorarinsdottir, Muath Alsheikh, Trygve Aamlid, Marit Jørgensen, (unknown), Odd Arne Rognli	0
3	Penalized angular regression for personalized predictions 2022 ·Scandinavian Journal of Statistics ·Kristoffer H. Hellton	0
4	An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product 2022 ·International Journal of Information Management Data Insights ·(unknown), Kristoffer H. Hellton, (unknown), Kenth Engø‐Monsen, (unknown), Geoffrey Canright, Arnoldo Frigessi, Ida Scheel	7
5	Real-time prediction of propulsion motor overheating using machine learning 2021 ·Journal of Marine Engineering & Technology ·Kristoffer H. Hellton, (unknown), (unknown), Solveig Engebretsen, (unknown), Magne Aldrin	13
6	Tuning parameter calibration for personalized prediction in medicine 2021 ·Electronic Journal of Statistics ·(unknown), (unknown), Kristoffer H. Hellton, Johannes Lederer	3
7	The Truth behind the Zeros: A New Approach to Principal Component Analysis of the Neuropsychiatric Inventory 2020 ·Multivariate Behavioral Research ·Kristoffer H. Hellton, Jeffrey L. Cummings, Audun Osland Vik‐Mo, Jan Erik Nordrehaug, Dag Aarsland, Geir Selbæk, Lasse M. Giil	6
8	Multivariate Postprocessing Methods for High-Dimensional Seasonal Weather Forecasts 2020 ·Journal of the American Statistical Association ·(unknown), Kristoffer H. Hellton, Alex Lenkoski, Thordis L. Thorarinsdottir	11
9	Serum Potassium Is Associated with Cognitive Decline in Patients with Lewy Body Dementia 2019 ·Journal of Alzheimer s Disease ·Lasse M. Giil, (unknown), (unknown), Kristoffer H. Hellton, Ragnhild Eide Skogseth, Audun Osland Vik‐Mo, Tibor Hortobágyi, Dag Aarsland, Jan Erik Nordrehaug	6
10	Fridge: Focused fine‐tuning of ridge regression for personalized predictions 2018 ·Statistics in Medicine ·Kristoffer H. Hellton, Nils Lid Hjort	17
11	Bayesian Regional Flood Frequency Analysis for Large Catchments 2018 ·Water Resources Research ·Thordis L. Thorarinsdottir, Kristoffer H. Hellton, (unknown), (unknown), Kolbjørn Engeland	22
12	Antibodies to Multiple Receptors are Associated with Neuropsychiatric Symptoms and Mortality in Alzheimer’s Disease: A Longitudinal Study 2018 ·Journal of Alzheimer s Disease ·Lasse M. Giil, Dag Aarsland, Kristoffer H. Hellton, Anders Lund, Harald Heidecke, Kai Schulze‐Forster, Gabriela Riemekasten, Audun Osland Vik‐Mo, Einar K. Kristoffersen, Christian A. Vedeler, Jan Erik Nordrehaug	10
13	Verdens første p-verdi 2017 ·Tidsskrift for Den norske legeforening ·Kristoffer H. Hellton, Jo Røislien	2
14	When and Why are Principal Component Scores a Good Tool for Visualizing High‐dimensional Data? 2017 ·Scandinavian Journal of Statistics ·Kristoffer H. Hellton, Magne Thoresen	7
15	Integrative clustering of high-dimensional data with joint and individual clusters 2016 ·Biostatistics ·Kristoffer H. Hellton, Magne Thoresen	20
16	The Impact of Measurement Error on Principal Component Analysis 2014 ·Scandinavian Journal of Statistics ·Kristoffer H. Hellton, Magne Thoresen	24

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.

Explore authors with similar magnitude of impact