Conny Wikström

10 papers receiving 528 citations

Peers

Conny Wikström
Comparison fields: 5 of 125
  • Analytical Chemistry 174
  • Statistics, Probability and Uncertainty 40
  • Pharmaceutical Science 32
  • Spectroscopy 79
  • Biophysics 23
Replace Koji Muteki with:
Koji Muteki United States
Jon Gabrielsson Sweden
M. S. Khots Belgium
Jacques A. De Beer Belgium
Ana Patrícia Ferreira United Kingdom
Michelle Sergent France
Marjo J. Vredenbregt Netherlands
Magalie Claeys‐Bruno France
Greg F. Piepel United States
Bing Xu China
Conny Wikström relative to Koji Muteki United States Koji Muteki's profile →
Citations per field
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Koji Muteki · 1×
Citations per year

Countries citing papers authored by Conny Wikström

Since Specialization
Citations

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

Fields of papers citing papers by Conny Wikström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 1998170
2 1986100
3
Multi- and Megavariate Data Analysis : Part II: Advanced Applications and Method Extensions
200694
4 199870
5 198761
6 199829
7 198821
8 19887
9 19884
10 19953
11 19880

About Conny Wikström

Conny Wikström is a scholar working on Analytical Chemistry, Statistics, Probability and Uncertainty, Organic Chemistry, Computational Theory and Mathematics and Control and Systems Engineering, having authored 11 papers that have together received 559 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (3 papers), Advanced Statistical Process Monitoring (2 papers), Computational Drug Discovery Methods (2 papers), Fault Detection and Control Systems (2 papers), Biochemical Analysis and Sensing Techniques (1 paper), Chemical Thermodynamics and Molecular Structure (1 paper), Crystallization and Solubility Studies (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Analytical Chemistry (174 citations), Statistics, Probability and Uncertainty (40 citations), Pharmaceutical Science (32 citations), Spectroscopy (79 citations) and Biophysics (23 citations). Conny Wikström has collaborated with scholars based in Sweden. Frequent co-authors include Lennart Eriksson, Erik Johansson, Svante Wold, Nouna Kettaneh‐Wold, Michael Sjöstróm, Sven Hellberg, Bert Skagerberg, Erik Johansson, Johan Trygg and Rolf Carlson. 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, Chemometrics and Intelligent Laboratory Systems, Canadian Journal of Chemistry, Analytica Chimica Acta and Drug Development Research.

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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