Inge S. Helland

61 papers receiving 1.8k citations

Peers

Inge S. Helland
Comparison fields: 5 of 156
  • Analytical Chemistry 794
  • Statistics and Probability 604
  • Computational Mathematics 24
  • Biophysics 188
  • Industrial and Manufacturing Engineering 197
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Citations per year

Countries citing papers authored by Inge S. Helland

Since Specialization
Citations

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

Fields of papers citing papers by Inge S. Helland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Inge S. Helland. 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 Inge S. Helland. The network helps show where Inge S. Helland may publish in the future.

Co-authors

The 14 scholars most cited alongside Inge S. Helland, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Inge S. Helland Line = papers co-authored together Inge S. Helland links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1988445
2 1995247
3
Partial least squares regression and statistical models
1990239
4 2001177
5
Central Limit Theorems for Martingales with Discrete or Continuous Time
1982129
6 1987109
7 2013100
8 199466
9
Relevant components in regression
199343
10 199238
11 198432
12 201828
13 198623
14 202122
15 197821
16 198120
17 200920
18 200419
19 199418
20 199518

About Inge S. Helland

Inge S. Helland is a scholar working on Statistics and Probability, Atomic and Molecular Physics, and Optics, Artificial Intelligence, Analytical Chemistry and Statistical and Nonlinear Physics, having authored 69 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (20 papers), Quantum Mechanics and Applications (17 papers), Spectroscopy and Chemometric Analyses (14 papers), Stochastic processes and statistical mechanics (8 papers), Statistical Methods and Inference (7 papers), Quantum Information and Cryptography (6 papers), Fault Detection and Control Systems (6 papers) and Advanced Thermodynamics and Statistical Mechanics (6 papers). The work is most often cited by research in Analytical Chemistry (794 citations), Statistics and Probability (604 citations), Computational Mathematics (24 citations), Biophysics (188 citations) and Industrial and Manufacturing Engineering (197 citations). Inge S. Helland has collaborated with scholars based in Norway, Sweden and Russia. Frequent co-authors include Tormod Næs, Tomas Isaksson, Trygve Almøy, R. Dennis Cook, Zhihua Su, Solve Sæbø, Trygve Nilsen, Olle Anderbrant, Göran Ericsson and J. L. Gill. Their work appears in journals such as Scandinavian Journal of Statistics, Chemometrics and Intelligent Laboratory Systems, Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of the American Statistical Association and Biometrics.

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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