Ulf Geir Indahl

2.1k total citations
64 papers, 1.6k citations indexed

About

Ulf Geir Indahl is a scholar working on Analytical Chemistry, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Ulf Geir Indahl has authored 64 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Analytical Chemistry, 16 papers in Molecular Biology and 9 papers in Biomedical Engineering. Recurrent topics in Ulf Geir Indahl's work include Spectroscopy and Chemometric Analyses (29 papers), Advanced Chemical Sensor Technologies (8 papers) and Water Quality Monitoring and Analysis (7 papers). Ulf Geir Indahl is often cited by papers focused on Spectroscopy and Chemometric Analyses (29 papers), Advanced Chemical Sensor Technologies (8 papers) and Water Quality Monitoring and Analysis (7 papers). Ulf Geir Indahl collaborates with scholars based in Norway, Denmark and United States. Ulf Geir Indahl's co-authors include Tormod Næs, Kristian Hovde Liland, Harald Martens, Dag I. K. Sjøberg, Magne Jørgensen, Knut Kvaal, Cecilia Marie Futsæther, Håvard Tveite, Bente Kirkhus and Narinder Singh Sahni and has published in prestigious journals such as Journal of Applied Physics, IEEE Access and Analytica Chimica Acta.

In The Last Decade

Ulf Geir Indahl

62 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ulf Geir Indahl Norway 26 568 357 214 187 150 64 1.6k
Bülent Üstün Netherlands 9 541 1.0× 187 0.5× 275 1.3× 195 1.0× 59 0.4× 13 1.2k
Hugo Guterman Israel 27 309 0.5× 351 1.0× 201 0.9× 381 2.0× 115 0.8× 102 2.1k
Matthew L Barker United States 20 1.1k 1.9× 810 2.3× 521 2.4× 339 1.8× 168 1.1× 64 3.2k
Knut Kvaal Norway 22 268 0.5× 143 0.4× 340 1.6× 61 0.3× 148 1.0× 50 1.3k
Menghan Hu China 25 352 0.6× 93 0.3× 451 2.1× 152 0.8× 229 1.5× 138 2.1k
William S. Rayens United States 19 1.2k 2.1× 901 2.5× 689 3.2× 372 2.0× 186 1.2× 38 3.2k
Line Katrine Harder Clemmensen Denmark 19 193 0.3× 176 0.5× 126 0.6× 52 0.3× 67 0.4× 76 1.2k
Nektarios A. Valous Germany 19 400 0.7× 231 0.6× 237 1.1× 148 0.8× 160 1.1× 42 1.8k
Silong Peng China 26 421 0.7× 162 0.5× 203 0.9× 234 1.3× 43 0.3× 164 2.4k

Countries citing papers authored by Ulf Geir Indahl

Since Specialization
Citations

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

Fields of papers citing papers by Ulf Geir Indahl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ulf Geir Indahl. 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 Ulf Geir Indahl. The network helps show where Ulf Geir Indahl may publish in the future.

Co-authorship network of co-authors of Ulf Geir Indahl

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

All Works

20 of 20 papers shown
1.
Liland, Kristian Hovde, et al.. (2024). A New Formula for Faster Computation of the K-Fold Cross-Validation and Good Regularisation Parameter Values in Ridge Regression. IEEE Access. 12. 17349–17368. 8 indexed citations
2.
Liland, Kristian Hovde, et al.. (2023). Selection of principal variables through a modified Gram–Schmidt process with and without supervision. Journal of Chemometrics. 37(10). 2 indexed citations
3.
Liland, Kristian Hovde, et al.. (2023). Extraction of photoluminescence with Pearson correlation coefficient from images of field-installed photovoltaic modules. Journal of Applied Physics. 133(21). 4 indexed citations
4.
Mishra, Puneet, Kristian Hovde Liland, & Ulf Geir Indahl. (2022). Swiss knife covariates selection: A unified algorithm for covariates selection in single block, multiblock, multiway, multiway multiblock cases including multiple responses. Journal of Chemometrics. 36(10). 1 indexed citations
5.
Liland, Kristian Hovde, et al.. (2022). The canonical partial least squares approach to analysing multiway datasets—N‐CPLS. Journal of Chemometrics. 36(7). 5 indexed citations
6.
Indahl, Ulf Geir, et al.. (2021). On the possible benefits of deep learning for spectral preprocessing. Journal of Chemometrics. 36(2). 33 indexed citations
7.
Tomić, Oliver, Ulf Geir Indahl, Turid Torheim, et al.. (2021). A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers. Physics in Medicine and Biology. 66(6). 65012–65012. 32 indexed citations
8.
Liland, Kristian Hovde, et al.. (2020). Much faster cross‐validation in PLSR‐modelling by avoiding redundant calculations. Journal of Chemometrics. 34(3). 8 indexed citations
9.
10.
Arief, Mansur, et al.. (2019). Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications. Computer Vision and Pattern Recognition. 26–33. 5 indexed citations
11.
Indahl, Ulf Geir, Tormod Næs, & Kristian Hovde Liland. (2018). A similarity index for comparing coupled matrices. Journal of Chemometrics. 32(10). 29 indexed citations
12.
Liland, Kristian Hovde, et al.. (2018). Preprocessing of spectral data in the extended multiplicative signal correction framework using multiple reference spectra. Journal of Raman Spectroscopy. 50(3). 407–417. 28 indexed citations
13.
Björck, Åke & Ulf Geir Indahl. (2017). Fast and stable partial least squares modelling: A benchmark study with theoretical comments. Journal of Chemometrics. 31(8). 18 indexed citations
14.
Liland, Kristian Hovde, et al.. (2017). Baseline and interferent correction by the Tikhonov regularization framework for linear least squares modeling. Journal of Chemometrics. 32(3). 10 indexed citations
15.
Indahl, Ulf Geir. (2017). The O‐PLS methodology for orthogonal signal correction—is it correcting or confusing?. Journal of Chemometrics. 34(1). 18 indexed citations
16.
17.
Tøndel, Kristin, Ulf Geir Indahl, Arne B. Gjuvsland, et al.. (2011). Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models. BMC Systems Biology. 5(1). 90–90. 35 indexed citations
18.
Aakra, Ågot, et al.. (2009). Modelling and quality assessment of spots in digital images — With application to DNA microarrays. Chemometrics and Intelligent Laboratory Systems. 98(1). 10–23. 3 indexed citations
19.
Indahl, Ulf Geir. (2005). A twist to partial least squares regression. Journal of Chemometrics. 19(1). 32–44. 73 indexed citations
20.
Jørgensen, Magne, Ulf Geir Indahl, & Dag I. K. Sjøberg. (2001). Software effort estimation by analogy and regression toward the mean.. Software Engineering and Knowledge Engineering. 268–274. 1 indexed citations

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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