Jan Škvařil

702 citations
50 papers · 380 · h-index 10

Impact in

Papers in

Jan Škvařil

47 papers receiving 356 citations

Peers

Jan Škvařil
Comparison fields: 5 of 113
  • Analytical Chemistry 77
  • Biophysics 26
  • Industrial and Manufacturing Engineering 34
  • Biomedical Engineering 140
  • Fluid Flow and Transfer Processes 15
Replace Yuxiang Zhang with:
Yuxiang Zhang China
Rui Liang China
P.R. Hernández Mexico
Hamed Masoumi Iran
Geoffrey McCullough United Kingdom
Yangli Xu China
Gilles Vaïtilingom France
Tossapon Katongtung Thailand
Jan Škvařil relative to Yuxiang Zhang China Yuxiang Zhang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jan Škvařil

Since Specialization
Citations

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

Fields of papers citing papers by Jan Škvařil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201657
2 201754
3 201641
4 201732
5 202423
6 201918
7 197115
8 197212
9 200910
10 201410
11 20179
12
[Remodelling ability of the distal radius in fracture healing in childhood].
20069
13 20098
14 20238
15 20177
16 20245
17 20125
18 20235
19 20145
20 19804

About Jan Škvařil

Jan Škvařil is a scholar working on Analytical Chemistry, Biomedical Engineering, Epidemiology, Surgery and Cognitive Neuroscience, having authored 50 papers that have together received 380 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (12 papers), Bone fractures and treatments (8 papers), Thermochemical Biomass Conversion Processes (6 papers), Spectroscopy Techniques in Biomedical and Chemical Research (5 papers), Neural dynamics and brain function (5 papers), Orthopedic Surgery and Rehabilitation (4 papers), Elbow and Forearm Trauma Treatment (4 papers) and Neuroscience and Neural Engineering (3 papers). The work is most often cited by research in Analytical Chemistry (77 citations), Biophysics (26 citations), Industrial and Manufacturing Engineering (34 citations), Biomedical Engineering (140 citations) and Fluid Flow and Transfer Processes (15 citations). Jan Škvařil has collaborated with scholars based in Czechia, Sweden and Italy. Frequent co-authors include Konstantinos Kyprianidis, Erik Dahlquist, Eva Thorin, Hu Li, Pietro Elia Campana, Alessandro Moretti, Monica Odlare, Anders Avelin, Ladislav Plánka and T Radil-Weiss. Their work appears in journals such as Applied Spectroscopy Reviews, Horticulturae, Frontiers in Plant Science, Electroencephalography and Clinical Neurophysiology and Fuel.

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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