Sven Hellberg

56 papers receiving 2.7k citations

Peers

Sven Hellberg
Comparison fields: 5 of 156
  • Computational Theory and Mathematics 844
  • Analytical Chemistry 328
  • Molecular Biology 1.4k
  • Small Animals 149
  • Spectroscopy 309
Replace Leming Shi with:
Leming Shi United States
Johan Gottfries Sweden
Lothar Terfloth Germany
Menghang Xia United States
Iain Gardner United Kingdom
David T. Manallack Australia
Izet M. Kapetanović United States
Ronald L. Smith United States
Yvonne Will United States
Colin McMartin United Kingdom
Sven Hellberg relative to Leming Shi United States Leming Shi's profile →
Citations per field
00.5×2.9×
Leming Shi · 1×
Citations per year

Countries citing papers authored by Sven Hellberg

Since Specialization
Citations

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

Fields of papers citing papers by Sven Hellberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sven Hellberg. 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 Sven Hellberg. The network helps show where Sven Hellberg may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Sven Hellberg, 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 Sven Hellberg Line = papers co-authored together Sven Hellberg links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20223
2 20221
3 20222
4 20224
5 202110
6 202111
7 2009204
8 2003460
9 199113
10 1991123
11 19919
12 199012
13 19903
14 199018
15 19893
16 1989147
17 198519
18 19850
19
Modelling data tables by principal components and PLS: class patterns and quantitative predictive relations
198463
20 198330

About Sven Hellberg

Sven Hellberg is a scholar working on Computational Theory and Mathematics, Analytical Chemistry, Statistics and Probability, Spectroscopy and Small Animals, having authored 60 papers that have together received 2.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (27 papers), Spectroscopy and Chemometric Analyses (10 papers), Analytical Chemistry and Chromatography (7 papers), Chemical Synthesis and Analysis (7 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Animal testing and alternatives (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Mass Spectrometry Techniques and Applications (3 papers). The work is most often cited by research in Computational Theory and Mathematics (844 citations), Analytical Chemistry (328 citations), Molecular Biology (1.4k citations), Small Animals (149 citations) and Spectroscopy (309 citations). Sven Hellberg has collaborated with scholars based in Sweden, United States and Germany. Frequent co-authors include Svante Wold, Bert Skagerberg, Michael Sjöstróm, William J. Dunn, Ratan V. Bhat, Stefan von Berg, Jörgen Jönsson, Lennart Eriksson, Johann Gasteiger and Ulf Edlund. Their work appears in journals such as Acta chemica Scandinavica/Acta chemica Scandinavica. B, Organic chemistry and biochemistry/Acta chemica Scandinavica. A, Physical and inorganic chemistry/Acta chemica Scandinavica. Series B. Organic chemistry and biochemistry/Acta chemica Scandinavica. Series A, Physical and inorganic chemistry, Environmental Toxicology and Chemistry, Alternatives to Laboratory Animals, Xenobiotica and Journal of Pharmaceutical Sciences.

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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