Mario Hellings

19 papers receiving 446 citations

Peers

Mario Hellings
Comparison fields: 5 of 94
  • Analytical Chemistry 160
  • Pharmaceutical Science 67
  • Biophysics 63
  • Statistics, Probability and Uncertainty 29
  • Computational Mechanics 82
Replace T. Van den Kerkhof with:
T. Van den Kerkhof Belgium
Magnus Fransson Sweden
Ana Patrícia Ferreira United Kingdom
David R. Rudd United Kingdom
Poul Bertelsen Denmark
William C. Stagner United States
Stephen V. Hammond United Kingdom
Tuomas Ervasti Finland
Anssi-Pekka Karttunen Finland
Josep M. González Spain
Mario Hellings relative to T. Van den Kerkhof Belgium T. Van den Kerkhof's profile →
Citations per field
00.5×1.5×2.2×
T. Van den Kerkhof · 1×
Citations per year

Countries citing papers authored by Mario Hellings

Since Specialization
Citations

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

Fields of papers citing papers by Mario Hellings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2013100
2 201064
3 200343
4 201438
5 201232
6 201129
7 201826
8 200621
9 201217
10 201816
11 201413
12 20209
13 20249
14 20238
15 20038
16 20128
17 20046
18 20225
19 20251

About Mario Hellings

Mario Hellings is a scholar working on Molecular Biology, Analytical Chemistry, Spectroscopy, Biomedical Engineering and Materials Chemistry, having authored 19 papers that have together received 453 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (6 papers), Analytical Chemistry and Chromatography (5 papers), Cyclone Separators and Fluid Dynamics (3 papers), Protein Structure and Dynamics (3 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers), Granular flow and fluidized beds (3 papers), Enzyme Structure and Function (3 papers) and Drug Solubulity and Delivery Systems (2 papers). The work is most often cited by research in Analytical Chemistry (160 citations), Pharmaceutical Science (67 citations), Biophysics (63 citations), Statistics, Probability and Uncertainty (29 citations) and Computational Mechanics (82 citations). Mario Hellings has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Thomas De Beer, Chris Vervaet, T. Van den Kerkhof, A. Burggraeve, Jean Paul Remon, Ana Filipa Silva, Yves Engelborghs, Marc De Maeyer, João A. Lopes and Quenten Denon. Their work appears in journals such as Analytica Chimica Acta, European Journal of Pharmaceutics and Biopharmaceutics, Journal of Pharmaceutical and Biomedical Analysis, Biophysical Journal and International Journal of Pharmaceutics.

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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