Luc Van Vaeck

3.0k citations
131 papers · 2.4k · h-index 27

Impact in

Papers in

Luc Van Vaeck

130 papers receiving 2.3k citations

Peers

Luc Van Vaeck
Comparison fields: 5 of 130
  • Analytical Chemistry 733
  • Health, Toxicology and Mutagenesis 628
  • Spectroscopy 752
  • Computational Mechanics 827
  • Process Chemistry and Technology 84
Replace Richard W. Linton with:
Richard W. Linton United States
Hugo M. Ortner Germany
Xiao‐Ying Yu United States
Cameron W. McLeod United Kingdom
C. A. Evans United States
Charles-Philippe Lienemann France
P. Hoffmann Germany
Gábor Galbács Hungary
Lieve Balcaen Belgium
Chuni L. Chakrabarti Canada
Luc Van Vaeck relative to Richard W. Linton United States Richard W. Linton's profile →
Citations per field
00.5×4.7×
Richard W. Linton · 1×
Citations per year

Countries citing papers authored by Luc Van Vaeck

Since Specialization
Citations

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

Fields of papers citing papers by Luc Van Vaeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luc Van Vaeck. 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 Luc Van Vaeck. The network helps show where Luc Van Vaeck may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999153
2 198492
3 197891
4 200780
5 198580
6 197975
7 200365
8 199465
9 199965
10 199664
11 201445
12 198443
13 200540
14 199439
15 200438
16 199337
17 199835
18 197735
19 200634
20 201033

About Luc Van Vaeck

Luc Van Vaeck is a scholar working on Computational Mechanics, Spectroscopy, Analytical Chemistry, Health, Toxicology and Mutagenesis and Materials Chemistry, having authored 131 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (80 papers), Analytical chemistry methods development (61 papers), Mass Spectrometry Techniques and Applications (61 papers), Air Quality and Health Impacts (12 papers), Atmospheric chemistry and aerosols (11 papers), Diamond and Carbon-based Materials Research (9 papers), Analytical Chemistry and Chromatography (8 papers) and Toxic Organic Pollutants Impact (8 papers). The work is most often cited by research in Analytical Chemistry (733 citations), Health, Toxicology and Mutagenesis (628 citations), Spectroscopy (752 citations), Computational Mechanics (827 citations) and Process Chemistry and Technology (84 citations). Luc Van Vaeck has collaborated with scholars based in Belgium, United Kingdom and United States. Frequent co-authors include K. Van Cauwenberghe, R. Gijbels, Annemie Adriaens, F. Adams, Herbert Struyf, Fred C. Adams, René Van Grieken, Jeffrey R. Bacon, Ana F. L. Godoi and Etienne Schacht. Their work appears in journals such as Rapid Communications in Mass Spectrometry, Journal of Analytical Atomic Spectrometry, Applied Surface Science, Analytica Chimica Acta and Mass Spectrometry Reviews.

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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