Geert Postma

2.0k citations
67 papers · 1.4k · h-index 21

Impact in

Papers in

Geert Postma

66 papers receiving 1.4k citations

Peers

Geert Postma
Comparison fields: 5 of 147
  • Analytical Chemistry 375
  • Biophysics 154
  • Cancer Research 183
  • Industrial and Manufacturing Engineering 83
  • Radiology, Nuclear Medicine and Imaging 223
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Jun Tang China
Francesca Grisoni Italy
Lionel Blanchet Netherlands
Ola Spjuth Sweden
Xin Zhou China
Qingfeng Chen China
Dávid Bajusz Hungary
Raf Van de Plas United States
Darren T. Andrews United Kingdom
Qing‐Song Xu China
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Citations per year

Countries citing papers authored by Geert Postma

Since Specialization
Citations

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

Fields of papers citing papers by Geert Postma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010248
2 201067
3 201462
4 201262
5 201359
6 199958
7 202057
8 200355
9 201150
10 201047
11 201345
12 200144
13 201038
14 200534
15 198833
16 201228
17 201827
18 201826
19 201725
20 200325

About Geert Postma

Geert Postma is a scholar working on Molecular Biology, Analytical Chemistry, Biophysics, Radiology, Nuclear Medicine and Imaging and Spectroscopy, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (20 papers), Metabolomics and Mass Spectrometry Studies (16 papers), Spectroscopy Techniques in Biomedical and Chemical Research (9 papers), Gene expression and cancer classification (9 papers), Advanced MRI Techniques and Applications (8 papers), Fault Detection and Control Systems (6 papers), Water Quality Monitoring and Analysis (6 papers) and Analytical Chemistry and Chromatography (5 papers). The work is most often cited by research in Analytical Chemistry (375 citations), Biophysics (154 citations), Cancer Research (183 citations), Industrial and Manufacturing Engineering (83 citations) and Radiology, Nuclear Medicine and Imaging (223 citations). Geert Postma has collaborated with scholars based in Netherlands, Italy and Greece. Frequent co-authors include L.M.C. Buydens, L.M.C. Buydens, W.J. Melssen, Ingrid S. Gribbestad, Jeroen J. Jansen, Federica Camin, Ron Wehrens, Tone F. Bathen, Guro F. Giskeødegård and Beathe Sitter. Their work appears in journals such as Analytica Chimica Acta, Chemometrics and Intelligent Laboratory Systems, Scientific Reports, TrAC Trends in Analytical Chemistry and Analytical Chemistry.

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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